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1
Zoev, I. V., N. G. Markov, and T. A. Yagunov. "Computing unite of a mobile computer vision system." IOP Conference Series: Materials Science and Engineering 1019 (January 21, 2021): 012044. http://dx.doi.org/10.1088/1757-899x/1019/1/012044.
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Li, Guangshun, Xinrong Ren, Junhua Wu, Wanting Ji, Haili Yu, Jiabin Cao, and Ruili Wang. "Blockchain-based mobile edge computing system." Information Sciences 561 (June 2021): 70–80. http://dx.doi.org/10.1016/j.ins.2021.01.050.
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Wang, Mian. "Mobile Information System of Ceramic Appreciation and Communication Management Based on Mobile Edge Computing." Mobile Information Systems 2021 (September 15, 2021): 1–11. http://dx.doi.org/10.1155/2021/4540664.
Повний текст джерелаАнотація:
Mobile edge computing is a very popular technology now. It was proposed to eliminate the problem of lack of global computing resources. This article aims to study the use of the latest mobile edge computing technology to study the mobile information system for appreciation, exchange, and management of the traditional ceramic industry. The whole article uses mobile edge computing technology. It enters the network using wireless methods and provides recent users with the required services and cloud computing functions, allowing users to easily query the information and data they want, plus mobile. The information system enables people to use mobile phones, tablets, and other mobile terminals to query information in the ceramic industry and perform functions such as appreciation, communication, and management. From 2016 to 2020, our country’s ceramic industry exports have increased from US$3.067 billion to US$6.826 billion. Traditional ceramics in our country have been loved by various industries at home and abroad. The number of employees in the ceramic industry has also increased to 5 million, an increase of 30% year-on-year. The ceramic industry is also very promising in the long term.
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Kaur, Taranpreet. "An Experimental Examination of Mobile Cloud Computing and IOT: Application, Techniques and Issues." International Journal of Engineering and Advanced Technology 8, no. 6s (September 6, 2019): 1101–3. http://dx.doi.org/10.35940/ijeat.f1215.0886s19.
Повний текст джерелаАнотація:
A technology in which voice, video and data can transfer through a computer or any wireless device is known as mobile computing. There is no need to connect to a fix physical link in mobile computing. By using the cloud computing mobile computing the powerful mobile applications can build. The approach of mobile cloud computing allows the developers to design the applications especially for mobile users. And the applications are not bounded with the memory capacity, computing process and operating system of Smartphone. From a remote web server through mobile browser the mobile cloud computing centered simply accesses. On the recipient Smartphone it is not necessary to install the client application.
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Dou, Yi, Yik Him Ho, Yuxuan Deng, and Henry C. B. Chan. "Mobile Intercloud System for Edge Cloud Computing." Wireless Communications and Mobile Computing 2021 (September 2, 2021): 1–30. http://dx.doi.org/10.1155/2021/5549470.
Повний текст джерелаАнотація:
Recent years have seen considerable interest in mobile cloud computing and edge cloud computing. This paper presents a mobile Intercloud system for supporting mobile cloud computing in general and edge cloud computing in particular. In essence, a mobile user with a mobile terminal can set up a virtual mobile terminal with applications and data in a central/home cloud. The virtual mobile terminal can facilitate task and computation offloading and other functions. Moreover, when a mobile terminal joins an edge cloud, the virtual mobile terminal (including required applications and data) can be migrated to enhance system efficiency and the user experience (e.g., shorter access delays). An experimental prototype has been developed for evaluating certain basic object transfer functions. To support the application transfer function, we formulate both finite- and infinite-horizon Markov decision models to determine decision policies (i.e., should an application be transferred to an edge cloud). The transfer decision depends on various factors, including transfer cost, duration associated with the edge cloud, usage probability, and usage cost in the central cloud and edge cloud. Based on the models, we obtain closed-form solutions for the decision policies, which can be expressed in meaningful formulas to provide useful insights for edge cloud computing in general. To evaluate the mobile Intercloud system for edge cloud computing, we conducted extensive evaluations, including experimental evaluation for testing the basic functions and protocols, analytical evaluation for studying the analytical models, and simulation evaluation for analyzing performance in a multiuser and multicloud environment in particular. The experimental, simulation, and analytical results provide useful insights into the design and development of the mobile Intercloud system for edge cloud computing as well as decision policies for application transfer.
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Liang, Tyng-Yeu, and You-Jie Li. "A Mobile Cloud Computing System for Mathematical Computation." International Journal of Grid and High Performance Computing 7, no. 3 (July 2015): 36–53. http://dx.doi.org/10.4018/ijghpc.2015070103.
Повний текст джерелаАнотація:
This paper is aimed at proposing a mobile cloud computing system called M2C (Mobile Math Cloud). This system provides users with an APP to accelerate the execution of MATLAB instructions and scripts on their Android-based mobile devices by taking advantage of diverse processors including CPUs and GPUs available in clouds. On the other hand, it supports time-sharing license management to reduce the user time of waiting system services and increase the resource utilization of clouds. Moreover, it supports parallel computing and optimal resource configurations for maximizing the performance of user applications, and faulty tolerance for recovering the contexts of user programs from system faults. With these supports, M2C provides a reliable and efficient service for mobile users to perform massive mathematical computation anytime anywhere.
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LELE, A. M., S. K. NANDY, and D. H. J. EPEMA. "HARMONY — AN ARCHITECTURE FOR PROVIDING QUALITY OF SERVICE IN MOBILE COMPUTING ENVIRONMENTS." Journal of Interconnection Networks 01, no. 03 (September 2000): 247–66. http://dx.doi.org/10.1142/s0219265900000159.
Повний текст джерелаАнотація:
Future mobile multimedia systems will have wearable computing devices as their front ends, supported by database servers, I/O servers, and compute servers over a backbone network. Multimedia applications on such systems are demanding in terms of network and compute resources, and have stringent Quality of Service (QoS) requirements. Providing QoS has two aspects. On the one hand, the QoS requirements for the relevant resources have to be defined and suitable policies for meeting these requirements have to be devised and analyzed. On the other hand, the architecture of the system components and the mechanisms enabling the implementation of these policies have to be designed. In this paper we propose an architecture called HARMONY for providing QoS in mobile computing environments. The HARMONY architecture is a layered architecture that provides mechanisms for the management of network and compute resources, in particular for call admission control taking into account the simultaneous requests for both types of resources by the mobile units. It also provides a mechanism for mobility management of mobile units as they move from one cell to another in a mobile computing environment. The network resources are reserved based on the Entropy model. In order to provide compute guarantees, we provide a novel scheme for off-loading tasks from the mobile units to the compute servers in the backbone network. We propose a load-balancing scheme to minimize the call blocking probability due to lack of compute resources, which redistributes the total load in the system across all compute servers so that these are equally loaded. Through a quantitative analysis of the HARMONY architecture we establish its effectiveness in providing quality of service in mobile computing environments.
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Mahenge, Michael P. J., Chunlin Li, and Camilius A. Sanga. "Mobile Edge Computing." International Journal of Mobile Computing and Multimedia Communications 10, no. 3 (July 2019): 23–46. http://dx.doi.org/10.4018/ijmcmc.2019070102.
Повний текст джерелаАнотація:
The overwhelming growth of resource-intensive and latency-sensitive applications trigger challenges in legacy systems of mobile cloud computing (MCC) architecture. Such challenges include congestion in the backhaul link, high latency, inefficient bandwidth usage, insufficient performance, and quality of service (QoS) metrics. The objective of this study was to find out the cost-efficient design that maximizes resource utilization at the edge of the mobile network which in return minimizes the task processing costs. Thus, this study proposes a cooperative mobile edge computing (coopMEC) to address the aforementioned challenges in MCC architecture. Also, in the proposed approach, resource-intensive jobs can be unloaded from users' equipment to MEC layer which is potential for enhancing performance in resource-constrained mobile devices. The simulation results demonstrate the potential gain from the proposed approach in terms of reducing response delay and resource consumption. This, in turn, improves performance, QoS, and guarantees cost-effectiveness in meeting users' demands.
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Xiao, Surong, Chubo Liu, Kenli Li, and Keqin Li. "System delay optimization for Mobile Edge Computing." Future Generation Computer Systems 109 (August 2020): 17–28. http://dx.doi.org/10.1016/j.future.2020.03.028.
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CHEOK, ADRIAN DAVID, MAN FUNG HO, EVA YUSTINA, and SHANG PING LEE. "MOBILE COMPUTING WITH PERSONAL AREA NETWORK AND HUMAN POWER GENERATION." International Journal of Software Engineering and Knowledge Engineering 15, no. 02 (April 2005): 169–75. http://dx.doi.org/10.1142/s0218194005002348.
Повний текст джерелаАнотація:
For mobile computing system such as wearable computer, one of the most critical hardware issues is the provision of electric power. Various different sources of power for wearable computer have been investigated; however, we are interested only in power that can be generated in-situ, such as human power. This paper describes a novel mean of multiple source human power generation for small wearable electronic devices, and then demonstrates the digital information transfer between wearable computing devices by using human skin as "antenna". There are a wide range of peripheral devices in a mobile computing system, such as sensors and identification memory tags. As the amount of such devices increases in a mobile computing design, there is a need for these devices to communicate efficiently with the central processing unit. Also, it is highly desirable that these devices could be conveniently connected to the wearable computer without many dangling wires. We developed a personal area network (PAN) system which attempts to interconnect such devices, and at the same time uses human body as communication channel. This system is in a way novel because it is totally powered by human motion.
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Xu, Junhua. "Digital Community Management Mobile Information System Based on Edge Computing." Mobile Information Systems 2021 (August 4, 2021): 1–11. http://dx.doi.org/10.1155/2021/5842291.
Повний текст джерелаАнотація:
Edge computing refers to an open platform that integrates network, computing, storage, and application core capabilities on the side close to the source of things or data and provides nearest-end services nearby. “Digital Community” refers to the use of various information technologies and methods to integrate community resources and build a network platform for interactive exchanges and services between the government, property service agencies, residents, and various intermediary organizations within the community. In order to reduce the management tasks of community managers, reduce their community management burden, and improve the management efficiency of community managers, this article is based on the description of several keywords such as distributed edge computing, edge computing business usage scenarios, and digital community management. Edge computing technologies such as centralized traffic model and attribute-based trust evaluation avoid waste of network resources, reduce time delay and system energy consumption, and improve system operation efficiency. A digital community management mobile information management system is designed and developed. 102 owners of the community conducted visits and questionnaire surveys. After investigation and research, it was found that this system has good performance, meets the management needs of most communities, and can improve the management efficiency of community managers by 4%–6%; it has also improved community residents’ satisfaction with digital community management by 2-3%.
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Malhotra, Neha, Manju Bala, and Vikram Puri. "Fault diagnosis in mobile computing using TwinSVM." Ingeniería Solidaria 18, no. 1 (April 30, 2022): 1–28. http://dx.doi.org/10.16925/2357-6014.2022.01.11.
Повний текст джерелаАнотація:
Introduction: Mobile computing systems (MCS) comes up with the challenge of low communication bandwidth and energy due to the mobile nature of the network. These features sometimes may come up with the undesirable behaviour of the system that eventually affects the efficiency of the system.
Problem: Fault tolerance in MCS will increase the efficiency of the system even in the presence of faults.
Objective: The main objective of this work is the development of the Monitoring Framework and Fault Detection and Classification.
Methodology: For the Node Monitoring and for the detection and classification of faults in the system a neighbourhood comparison-based technique has been proposed. The proposed framework uses Twin Support Vector Machine (TWSVM) algorithm has been applied to build classifier for fault classification in the mobile network.
Results: The proposed system has been compared with the existing techniques and has been evaluated towards calculating the detection accuracy, latency, energy consumption, packet delivery ratio, false classification rate and false positive rate.
Conclusion: The proposed framework performs better in terms of all the selected parameters.
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Srinivasa, K. G., Harish RaddiC S., Mohan KrishnaS H., and Nidhi Venkatesh. "MeghaOS." International Journal of Cloud Applications and Computing 2, no. 1 (January 2012): 53–70. http://dx.doi.org/10.4018/ijcac.2012010104.
Повний текст джерелаАнотація:
Cloud computing is becoming relevant due to increase in speed of Internet and reduction in its access cost. Desktop computing demands expensive hardware and software suits which become obsolete too often. Ownership of Personal Computers has always remained low in developing countries mainly due to its prohibitive cost. Alternate models of Computer usage like Public-Access Kiosks and low cost Laptops have been tried with limited success. Issues like security and privacy are major concerns in pubic computing. Laptops and other mobile devices lack required hardware support to run computing intensive applications. Increased penetration of Internet and mobile phones are providing new opportunities to bring computing closer to people. Cloud based Operating Systems are an effort in this direction. The present system, named MeghaOS, provides a framework for Desktop-like Operating System (OS) on a Web Browser. The Cloud becomes a metaphor for Operating System services accessed though Internet. Unlike traditional Operating System, MeghaOS can be accessed on any device having just a Web Browser. Since applications developed using this framework will be cached in Client’s machine, network utility will be low. Since data and applications are hosted remotely users can use them without transferring data into local device. MeghaOS provides scalable, multi-device compatible, browser accessible framework for Cloud based Operating System demonstrating next generation computing paradigm.
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Liu, Jun, Baixiang Pan, Xiaheng Zhang, and Doudou Li. "Mobile E-Commerce Information System Based on Industry Cluster under Edge Computing." Mobile Information Systems 2021 (June 25, 2021): 1–11. http://dx.doi.org/10.1155/2021/7930799.
Повний текст джерелаАнотація:
Mobile e-commerce is e-commerce implemented on mobile devices, such as mobile phones, and mobile Internet networks as we usually understand. With the rapid development of mobile electronic devices and mobile Internet networks, this new type of e-commerce field has gradually emerged. In the context of edge computing, this paper takes mobile e-commerce information system as the research object and aims to study the mobile e-commerce information system based on industry clusters under edge computing. First of all, this paper expounds the theory of industrial clusters and the manifestations of e-commerce industrial clusters, as well as the concept and technical framework of the Internet of Things, and proposes the order relationship analysis method and the fuzzy comprehensive evaluation method, and conducts experiments in the form of questionnaires. The experimental results show that, from the perspective of industrial integration, with a correlation coefficient of 0.687, there is a significant positive correlation between e-commerce information system and supply chain cooperation.
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Chen, Ching-Han, and Mu-Che Wu. "CellS: A Cell-Inspired Efficient Software Framework for AI-Enabled Application on Resources-Constrained Mobile System." Electronics 10, no. 5 (February 28, 2021): 568. http://dx.doi.org/10.3390/electronics10050568.
Повний текст джерелаАнотація:
Today’s mobile processors generally have multiple cores and sufficient hardware resources to support AI-enabled software operation. However, very few AI applications make full use of the computing performance of mobile multiprocessors. This is because the typical software development is sequential, and the degree of parallelism of the program is very low. In the increasingly complex AI-driven and software development projects with natural human–computer interaction, this will undoubtedly cause a waste of mobile computing resources that are originally limited. This paper proposes an intelligent system software framework, CellS, to improve smart software development on multicore mobile processor systems. This software framework mimics the cell system. In this framework, each cell can autonomously aware changes in the environment (input) and reaction (output) and may change the behavior of other cells. Smart software can be regarded as a large number of cells interacting with each other. Software developed based on the CellS framework has a high degree of scalability and flexibility and can more fully use multicore computing resources to achieve higher computing efficiency.
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Guo, Yanlin, and Huwei Li. "Exploration on the Optimal Application of Mobile Cloud Computing in Enterprise Financial Management under 5G Network Architecture." Advances in Multimedia 2022 (May 29, 2022): 1–11. http://dx.doi.org/10.1155/2022/7500014.
Повний текст джерелаАнотація:
In order to improve the effect of modern enterprise financial management, this paper improves the mobile cloud computing resource scheduling algorithm under the 5G network architecture. Moreover, this paper introduces mobile edge cloud computing, MEC server, into the financial 5G network system model. Taking into account the possible multihop RSU transmission of the calculation result back, this paper expresses the delay composition of the calculation task on the local execution and offloading to the MEC server in the form of a formula and proposes an offloading strategy based on the MEC load status. On this basis, this paper constructs a mobile cloud computing optimization system under the 5G network architecture and designs experiments to evaluate the performance of the system proposed in this paper. From the experimental research, we can see that the enterprise financial management optimization system based on mobile cloud computing under the 5G network architecture proposed in this paper has good effects in the optimization of corporate financial management.
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Chen, Xincheng. "Mobile edge computing resource allocation: An operating system view." Computer Networks 190 (May 2021): 107925. http://dx.doi.org/10.1016/j.comnet.2021.107925.
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Hsu, Ching-Hsien, Shangguang Wang, Yan Zhang, and Anna Kobusinska. "Mobile Edge Computing." Wireless Communications and Mobile Computing 2018 (June 27, 2018): 1–3. http://dx.doi.org/10.1155/2018/7291954.
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Pu, Haitao, Jinjiao Lin, Yanwei Song, and Fasheng Liu. "Adaptive Device Context Based Mobile Learning Systems." International Journal of Distance Education Technologies 9, no. 1 (January 2011): 44–56. http://dx.doi.org/10.4018/jdet.2011010103.
Повний текст джерелаАнотація:
Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for mobile devices to adapt to e-learning is presented. To provide device-independence mobile learning services, a context-aware mobile learning approach is proposed. Firstly, the formal definitions of contexts and their influence on mobile learning services, including device contexts NCxt, matrix of information transmission parameters S, the degree of influence of the context NCxt on information transmission parameters Q, and adaptation coefficient E, are given. By using this approach, the mobile learning system is constructed. In an example using this approach, the authors detect the contextual environment of mobile computing and adapt the mobile learning services to the learners’ devices automatically.
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Wei, Huixian, and Jia Liu. "Computer Mathematical Modeling Based on the Improved Genetic Algorithm and Mobile Computing." Wireless Communications and Mobile Computing 2021 (December 26, 2021): 1–7. http://dx.doi.org/10.1155/2021/1584435.
Повний текст джерелаАнотація:
In order to change the problem of data redundancy in a genetic algorithm, this paper proposes a computer mathematical model based on the combination of an improved genetic algorithm and mobile computing. Combined with the least square method, MATLAB software is used to solve the equations, determine the range of parameters, and solve the estimation parameter range and identification problems. The improved genetic algorithm combined with mobile computing and least square method to establish a mathematical model greatly increased the individual search space and increased the operation rate of 90% compared to the basic genetic algorithm or mobile computing. The results show that the improved genetic algorithm and mobile computing have a certain ability to identify the optimal solution and greatly improve the work efficiency.
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Lin, Qiang. "Dynamic Resource Allocation Strategy in Mobile Edge Cloud Computing Environment." Mobile Information Systems 2021 (August 7, 2021): 1–10. http://dx.doi.org/10.1155/2021/8381998.
Повний текст джерелаАнотація:
With the development of the mobile Internet, smart mobile terminals have become an indispensable tool for people's lives and mobile applications are becoming more and more powerful. This research mainly discusses the dynamic resource allocation strategy of the mobile edge cloud computing environment. The physical resource layer in the network model is responsible for providing specific resources that are actually available, such as hardware resources, computing resources, storage resources, mainly including base stations, mobile edge computing servers, spectrum, power, and other communications of different infrastructure vendor basic components of the system. The functions of the virtual machine monitor include resource virtualization and resource management. As an important component of wireless network virtualization, virtual machine monitors are usually deployed in physical base stations to provide physical resources and to consider the connection between the virtual machine stations. The business of the business cache model is an application that is requested by users running on the mobile edge computing server or cloud at the base station. The computing task scheduling in the mobile edge environment can be classified as a wireless interaction model. This model captures the user throughput in cellular network interaction. The physical layer channel access strategy (CDMA) allows all mobile users to efficiently share the same spectrum resources at the same time. When the preference coefficient for task energy consumption varies between 0.35–0.55 and 0.65–1, the superior range of maximum system efficiency achieved by RAOM accounts for 55% of the entire range. This research contributes to the reasonable allocation of resources, and the mobile edge computing model improves the fairness of users with a lower transmission cost.
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Croatti, Angelo, Alessandro Ricci, and Mirko Viroli. "Towards a Mobile Augmented Reality System for Emergency Management." International Journal of Distributed Systems and Technologies 8, no. 1 (January 2017): 46–58. http://dx.doi.org/10.4018/ijdst.2017010104.
Повний текст джерелаАнотація:
The impressive development of wearable computing and augmented/mixed reality technologies that has been occurring in recent years allows for devising ICT systems that can bring a disruptive innovation in how emergency medical operations take place. In this paper the authors describe first explorations in that direction, represented by a distributed collaborative system called SAFE (Smart Augmented Field for Emergency) for teams of rescuers and operators involved in a rescue mission. SAFE is based on the integration of wearable computing and augmented reality technologies with intelligent agents and multi-agent systems.
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Skehin, Nicholas, and Jaewoo Chung. "Mobile computing systems and applications." IEEE Pervasive Computing 10, no. 3 (2011): 80–83. http://dx.doi.org/10.1109/mprv.2011.53.
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Chen, Wenxing, and Bin Yang. "Energy Efficiency Analysis of e-Commerce Customer Management System Based on Mobile Edge Computing." Scientific Programming 2022 (January 3, 2022): 1–9. http://dx.doi.org/10.1155/2022/5333346.
Повний текст джерелаАнотація:
Energy efficiency optimization of mobile edge computing e-commerce clients and reasonable management of server computing resources are worth further study. The participant of the algorithm game model proposed in this paper is mobile e-commerce customer management. The decision space is a two-dimensional space composed of unloading decision and power control, and the benefit function is the energy efficiency function and delay function. The existence and uniqueness of the multidimensional game model are proved theoretically. The simulation results show that the proposed multidimensional game based energy efficiency optimization algorithm of mobile edge computing can reduce the energy consumption and delay of mobile terminals and improve the energy efficiency of unloading calculation under the same task compared with the game scheme without considering power consumption control when the number of e-commerce customer management is larger. This paper deduces the optimal load migration decision of mobile e-commerce customer management and the optimal pricing strategy of mobile edge cloud service providers and proves that the optimal decision and optimal pricing constitute the Starkberg equilibrium. The semidistributed and decentralized task transfer decision-making mechanisms are designed, respectively, and the management decision-making behaviors of mobile e-commerce customers in the mobile edge cloud energy trading market are studied by numerical analysis, as well as the time efficiency of the two mechanisms.
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Bezmen, P. A. "Integration of Mobile Robot Control System Data Using the Extended Kalman Filter." Proceedings of the Southwest State University 23, no. 2 (July 9, 2019): 53–64. http://dx.doi.org/10.21869/2223-1560-2019-23-2-53-64.
Повний текст джерелаАнотація:
Purpose of research. The article deals with the adaptation of the algorithm of the extended Kalman filter for the integration of data from sensors of physical values of a mobile robotMethods. Integration of data is the process of information (data) fusion for determination or prediction of the state of an object. Integration provides increased robustness of robot control and accuracy of machine perception of information. This process is similar to repeated experiments in order to determine in direct and/or indirect ways the value of a physical quantity with the required accuracy. In the control system of a mobile robot, the integration of sensor data is carried out by one or more computing devices (for example, processors or microcontrollers) [1-5].Results. Advances in digital signal processing and image processing are based on new algorithms, increasing the speed of data processing by computing devices and increasing the speed of access to data stored in storage (storage devices) and the capacity of the latter. Computing devices also perform averaging and filtering of signals of individual sensors and their further matching. The problem of sustainable integration and processing of information from different measuring devices can be solved with the help of the Kalman filter algorithm. The Kalman linear filter algorithm and, in particular, the extended Kalman filter algorithm perform a large amount of computation in the course of their work. In comparison with the linear Kalman filter, the extended Kalman filter significantly increases the requirements for the computing power of the onboard computer (computing device, computer) of amobile robot.Conclusion. The main effect of integration is to obtain fundamentally new information that cannot be obtained from individual sensors. This approach relieves data channels of large (excessive) data flows coming directly from the sensors, and reduces the requirements for computing power of the computing device of the upper level of the structure of the mobile robot control system.
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Liu, Tian, Wenhao Fan, Fan Wu, Wei Xie, and Wen Yuan. "Joint Computation Offloading and Data Caching Based on Cooperation of Mobile-Edge-Computing-Enabled Base Stations." Applied Sciences 11, no. 13 (June 22, 2021): 5802. http://dx.doi.org/10.3390/app11135802.
Повний текст джерелаАнотація:
Mobile terminal applications with high computing complexity and high time delay sensitivity are developing quite fast today, which aggravates the load of mobile cloud computing and storage and further leads to network congestion and service quality decline. Mobile edge computing (MEC) is a way of breaking through the limits of computing and storage resources of mobile cloud and alleviating the load of mobile cloud. Computing time costs and transmission time costs are considered to be the main issues for the mobile cloud when carrying out computing offloading and data caching. Therefore, an efficient resource management strategy, which could minimize the system delay, is proposed in this paper. The new scheme offloads reasonably computing tasks and caches the tasks’ data from the mobile cloud to mobile edge computing-enabled base stations. An intelligence algorithm, genetic algorithm, is being used to solve the global optimization problem which would cause transmission delay and computing resources occupation, and to determine the computing offloading and data caching probability. The simulation of the system using MATLAB is conducted in 8 different scenarios with different parameters. The results show that our new scheme improves the system computing speed and optimizes the user experience in all scenarios, compared with the scheme without data caching and the scheme without computing offloading and data caching.
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Jiang, Weijin, Yang Wang, Yirong Jiang, Yuhui Xu, Jiahui Chen, Lina Tan, and Guo Liang. "Mobile Internet Mobile Agent System Dynamic Trust Model for Cloud Computing." Computers, Materials & Continua 62, no. 1 (2020): 123–36. http://dx.doi.org/10.32604/cmc.2020.05933.
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Beloudane, Amel, and Ghalem Belalem. "Towards an Efficient Management of Mobile Cloud Computing Services based on Multi Agent Systems." Journal of Information Technology Research 8, no. 3 (July 2015): 59–72. http://dx.doi.org/10.4018/jitr.2015070104.
Повний текст джерелаАнотація:
Today, there is an increase of using mobile smart devices. These devices can have an effective access to information and benefit of many applications in the Cloud. Cloud Computing (CC) exploits its full potential with many difficulties due to its inherent problems such as resource scarcity, intermittent network connectivity, and mobility. Mobile Cloud Computing (MCC) can treat these problems by executing mobile applications on external resource providers to the mobile device for high-performance and scalability of mobile applications. This paper discusses the authors' approach on mobile cloud computing environment. This analysis permits to select the most appropriate service satisfied SLA while reducing energy consumption and increasing its availability in the Cloud without deteriorating performance and energy consumption. For that, the authors proposed a dynamic, efficient and equilibrated model based on multi-agent system and Top-K technology.
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Joo, Sihyung, Honggu Kang, and Joonhyuk Kang. "CoSMoS: Cooperative Sky-Ground Mobile Edge Computing System." IEEE Transactions on Vehicular Technology 70, no. 8 (August 2021): 8373–77. http://dx.doi.org/10.1109/tvt.2021.3094584.
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Yang, Yonggao, Xusheng Wang, and Lin Li. "Use Mobile Devices to Wirelessly Operate Computers." International Journal of Technology and Human Interaction 9, no. 1 (January 2013): 64–77. http://dx.doi.org/10.4018/jthi.2013010105.
Повний текст джерелаАнотація:
Mobile computing devices, such as tablets, smartphones, PDAs, and game remote controllers, become very popular in our daily life. This article discusses how to turn these devices, more specifically smartphones and Nintendo Wii remotes (in short as Wiimote), into computer remote controllers. In the smartphone-based system, a smartphone is extended to be the computer’s wireless keyboard and mouse. The smartphone and the computer talk to each other through either wireless Ad Hoc or Wi-Fi access point network. In the Wiimote-based system, a Wiimote is turned into computer’s mouse, where the user moves the mouse cursor by waving the Wiimote in air, and generates mouse events through Wiimote buttons. The Wiimote communicates with the computer through Bluetooth. These systems can be used in conference rooms, classrooms, project seminar rooms, and even people’s living rooms, where a projector screen or a big-screen TV serves as the computer monitor.
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Sun, Jianan, Qing Gu, Tao Zheng, Ping Dong, and Yajuan Qin. "Joint communication and computing resource allocation in vehicular edge computing." International Journal of Distributed Sensor Networks 15, no. 3 (March 2019): 155014771983785. http://dx.doi.org/10.1177/1550147719837859.
Повний текст джерелаАнотація:
The emergence of computation-intensive vehicle applications poses a significant challenge to the limited computation capacity of on-board equipments. Mobile edge computing has been recognized as a promising paradigm to provide high-performance vehicle services by offloading the applications to edge servers. However, it is still a challenge to efficiently utilize the available resources of vehicle nodes. In this article, we introduce mobile edge computing technology to vehicular ad hoc network to build a vehicular edge computing system, which provides a wide range of reliable services by utilizing the computing resources of vehicles on the road. Then, we study the computation offloading decision problem in this system and propose a novel multi-objective vehicular edge computing task scheduling algorithm which jointly optimizes the allocation of communication and computing resources. Extensive performance evaluation demonstrates that the proposed algorithm can effectively shorten the task execution time and has high reliability.
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Alekseev, G. G., E. A. Alekseeva, P. V. Galagan, A. P. Sorokin, and S. A. Sorokin. "EXPERIENCE OF USING THE HARDWARE PLATFORM GRIFON TO SOLVE ACOUSTICAL PROBLEMS." Issues of radio electronics, no. 5 (May 20, 2018): 63–69. http://dx.doi.org/10.21778/2218-5453-2018-5-63-69.
Повний текст джерелаАнотація:
The creation of a set of computer hardware, associated with the common management and use of system-wide resources and software designed to handle hydroacoustic information is an urgent task. This is due to the further improvement of the characteristics of newly developed marine vehicles and systems. The article deals with the use of elements of the high-speed heterogeneous computing platform Griffon in the construction of specialized computing systems and the implementation of algorithms for processing hydroacoustic information. Potential capabilities of the equipment are discussed, demonstrating the prospects of creating computers based on the Griffon hardware platform with high parameters and minimal mass-size characteristics. The article proposes variants of algorithms specially designed for increasing the statistical efficiency and processing taking into account the influence of the sound propagation medium. The comparative characteristics and capabilities of the Griffon platform for creating various special computers for both stationary and mobile, including autonomous, hydroacoustic computer systems are presented.
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Luo, Hui, and Quan Yin. "Distributed Optimization for Mobile Robots under Mobile Edge Computing Environment." Complexity 2021 (October 21, 2021): 1–11. http://dx.doi.org/10.1155/2021/8342610.
Повний текст джерелаАнотація:
Driven by the development of the Internet industry, mobile robots (MRs) technology has become increasingly mature and widely used in all walks of life. Since MRs are densely distributed in the network system, how to establish a reliable communication architecture to achieve good cooperation and resource sharing between MRs has become a research hotspot. In this respect, mobile edge computing (MEC) technology and millimeter wave (mmW) technology can provide powerful support. This paper proposes a mmW communication network architecture for distributed MRs in MEC environment. The mmW base station provides reliable communication services for MRs under the coverage of information cloud (IC). We design a joint resource and power allocation strategy aimed at minimizing network energy consumption. First, we use the Lyapunov optimization technique to transform the original infinite horizon Markov decision process (MDP) problem. Then, a semidistributed algorithm is introduced to solve the distributed optimization problem in the mmW network. By improving the autonomous decision-making ability of the mmW base station, the signaling overheads caused by information interaction are reduced, and information leakage is effectively avoided. Finally, the global optimal solution is obtained. Simulation results demonstrate the superiority of the proposed strategy.
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ZOMAYA, ALBERT Y. "MOBILE COMPUTING: OPPORTUNITIES FOR PARALLEL ALGORITHMS RESEARCH." International Journal of Foundations of Computer Science 14, no. 01 (February 2003): 19–37. http://dx.doi.org/10.1142/s0129054103001571.
Повний текст джерелаАнотація:
The last thirty years have seen tremendous growth in research in mobile telecommunications. However, interest in mobile computing, which includes mobile telephony and more, has increased over the last ten years. Nevertheless, most of the research on mobile computing addresses the "engineering" issues and the electronic componentary required for building mobile systems. On the other hand, algorithmics research in mobile computing is still in its infancy, and only dates back to few years. The elegance and terseness that exist today in algorithmics, especially parallel computing algorirthmics, can be brought to bear on research on "mobile computing algorithmics". However, mobility brings to the stage a whole gamut of new problems that needs to be addressed in order to develop new and efficient parallel algorithms that can be used to solve mobile computing problems.
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Kong, Heng, and Jixin Chen. "Medical Monitoring and Management System of Mobile Thyroid Surgery Based on Internet of Things and Cloud Computing." Wireless Communications and Mobile Computing 2021 (June 19, 2021): 1–10. http://dx.doi.org/10.1155/2021/7065910.
Повний текст джерелаАнотація:
With the rapid development of the Internet of Things and cloud computing technologies, the Internet of Things technology based on comprehensive perception and interconnection and cloud computing based on virtualization, dynamic resources, and parallel computing have become the driving force for the innovation and development of informatization and intelligence. The cloud-based Internet of Things mobile medical is an ecosystem of health information and medical information, with the medical Internet of Things at its core and highly mobile and highly shared information. Therefore, in the context of in-depth research on mobile medical care, research on mobile postoperative thyroid monitoring and management systems based on the Internet of Things and cloud computing is a practical tool for promoting the development of mobile medical systems. Monitoring and Management. In this experiment, 48 cases of patients undergoing thyroid surgery were selected from a hospital. The experimental group was informed by the experiment that they need to be equipped with sensors. The control panel and GPS positioning module are used to obtain the exact position of the patient at the first time. The loading of the sensor is agreed by the patient and the patient’s family. Afterward, the control group will not be processed. It will conduct functional tests and software performance tests on the mobile medical monitoring and management system and analyze the satisfaction of medical staff with the mobile medical monitoring and management system. Experiments have proved that the cloud computing medical monitoring and management system is used to obtain the exact location of the patient in the first time, and the response time needs to be shorter. The response time of the system increases with the increase of the number of sensors ( P < 0.05 ), which shows that the mobile medical monitoring and management system is essential for medical care and medical care. Obtaining the exact position of the patient for the first time is of great importance for the successful rescue of the patient.
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Singh, Vivek, and K. B. Ramesh. "Introduction to Reversible Logic Gates and its Operations." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (February 28, 2022): 1148–56. http://dx.doi.org/10.22214/ijraset.2022.40249.
Повний текст джерелаАнотація:
Abstract: Reversible logic is one of the most important issues at the moment and has a wide range of applications, such as low power CMOS, quantum computing, nanotechnol- ogy, cryptography, optical computing, DNA computing, and -digital signal processing (DSP), quantum Dot automata for mobile, communication, computer graphics. It is not possible to detect quantum computing without the implementation of a postponed brain operation. The main objectives of design are logical thinking to reduce quantum costs, circuit depths and the amount of waste disposal. This paper provides basic logical retrospective gates, which in the construction of a highly sophisticated system with retractable circuits as part of the old and unable to perform the most complex operations using quantum computers. Reversible circuits form the basic building block of quantum computers as all quantum functions are reversed. This paper presents data related to older retractable gates found in books and assists research in the design of complex computer circuits using retractable gates. Keywords: Defendable Logic, Portable Gate, Dismissal, Trash, Quantum Cost, Quantum-dot Cellular Automata, Reversible Computing, Reversible ALU, Flip Flop using Reversible Gates, Reversible Adder
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Yuan, Youwei, Lu Qian, Gangyong Jia, Longxuan Yu, Zixuan Yu, and Qi Zhao. "Efficient Computation Offloading for Service Workflow of Mobile Applications in Mobile Edge Computing." Mobile Information Systems 2021 (April 2, 2021): 1–11. http://dx.doi.org/10.1155/2021/5578465.
Повний текст джерелаАнотація:
Edge computing has become a promising solution to overcome the user equipment (UE) constraints such as low computing capacity and limited energy. A key edge computing challenge is providing computing services with low service congestion and low latency, but the computing resources of edge servers were limited. User task randomness and network inhomogeneity brought considerable challenges to limited-resource MEC systems. To solve these problems, the presented paper proposed a blocking- and delay-aware schedule strategy for MEC environment service workflow offloading. First, the workflow was modeled in mobile applications and the buffer queue in servers. Then, the server collaboration area was divided through a collaboration area division method based on clustering. Finally, an improved particle swarm optimization scheduling method was utilized to solve this NP-hard problem. Many simulation results verified the effectiveness of the proposed scheme. This method was superior to existing methods, which effectively reduces the blocking probability and execution delay and ensures the quality of the experience of the user.
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Yu, Junling. "Mobile Edge Computing Application in English Teaching Classroom Evaluation System Based on BPSO Algorithm." Mobile Information Systems 2022 (August 17, 2022): 1–12. http://dx.doi.org/10.1155/2022/3744523.
Повний текст джерелаАнотація:
This paper proposes a multi-user and multi-MEC scenario based on mobile edge computing to maximize the overall revenue to complete the task and proposes business guarantee and resource constraints as conditions to form the optimal task offloading resource allocation problem based on the Lyapunov mobile edge computing theory. Because this problem is NP-hard problem, decoupling is proposed as a solution to the channel resource allocation problem, which is solved by the KKT task allocation condition and the 0-1 integer programming problem. Aiming at the high-speed mobile terminal scene, a high-speed unloading algorithm is proposed, which explains the task unloading system model in the high-speed mobile terminal scene. The task offloading algorithm first allocates several subtasks according to the number of MEC servers and the remaining available resources of the MEC servers. At the same time, taking campus as an example, the English teaching classroom evaluation application uses the big data evaluation scale to complete the evaluation and uses statistical software to test the reliability of the evaluation results. Based on the analysis results, it summarizes and reflects on the education evaluation index system and puts forward suggestions for improving the evaluation system and implementing the English education guarantee mechanism. This paper uses the research of mobile edge computing resources to allocate big data and applies it to the application of English teaching classroom evaluation, thereby promoting the rapid development of classroom teaching.
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Pencheva, Evelina N., Ivaylo I. Atanasov, and Vladislav G. Vladislavov. "Mission Critical Messaging Using Multi-Access Edge Computing." Cybernetics and Information Technologies 19, no. 4 (November 1, 2019): 73–89. http://dx.doi.org/10.2478/cait-2019-0037.
Повний текст джерелаАнотація:
Abstract 5th Generation (5G) mobile system is expected to support the requirements of mission critical communications for ultra reliability and availability, and very low latency. With the development of messaging and data transfer in mobile networks, mission critical communication users see more and more potential in data communications. In this paper, we explore the capabilities of Multi-access Edge Computing (MEC) that appears to be a key 5G component, to provide short messaging service at the network edge. The provided use cases illustrate the capabilities for transferring mobile originating and mobile terminating short messages to and from mission critical mobile edge applications. The data model describes the service resource structure and the Application Programming Interface definitions illustrate how the mobile edge applications can use the service. Some implementation aspects related to behavioral logic of the network and applications are provided. The performance analysis enables estimation of latency introduced by the service.
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Yeh, Her-Tyan, Juing-Shian Chiou, and Ting-Jun Zhou. "A Karaoke System with Real-Time Media Merging and Sharing Functions for a Cloud-Computing-Integrated Mobile Device." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/713589.
Повний текст джерелаАнотація:
Mobile devices such as personal digital assistants (PDAs), smartphones, and tablets have increased in popularity and are extremely efficient for work-related, social, and entertainment uses. Popular entertainment services have also attracted substantial attention. Thus, relevant industries have exerted considerable efforts in establishing a method by which mobile devices can be used to develop excellent and convenient entertainment services. Because cloud-computing technology is mature and possesses a strong computing processing capacity, integrating this technology into the entertainment service function in mobile devices can reduce the data load on a system and maintain mobile device performances. This study combines cloud computing with a mobile device to design a karaoke system that contains real-time media merging and sharing functions. This system enables users to download music videos (MVs) from their mobile device and sing and record their singing by using the device. They can upload the recorded song to the cloud server where it is merged with real-time media. Subsequently, by employing a media streaming technology, users can store their personal MVs in their mobile device or computer and instantaneously share these videos with others on the Internet. Through this process, people can instantly watch shared videos, enjoy the leisure and entertainment effects of mobile devices, and satisfy their desire for singing.
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Zadahmad, Manouchehr, and Parisa Yousefzadehfard. "Agile Development of Various Computational Power Adaptive Web-Based Mobile-Learning Software Using Mobile Cloud Computing." International Journal of Web-Based Learning and Teaching Technologies 11, no. 2 (April 2016): 61–72. http://dx.doi.org/10.4018/ijwltt.2016040104.
Повний текст джерелаАнотація:
Mobile Cloud Computing (MCC) aims to improve all mobile applications such as m-learning systems. This study presents an innovative method to use web technology and software engineering's best practices to provide m-learning functionalities hosted in a MCC-learning system as service. Components hosted by MCC are used to empower developers to create m-learning systems in agile manner. The developed m-learning systems -as tenants of MCC-learning- provide cloud-quality services to their clients. The solution is a service-oriented and three-layered MCC system encompassing innovative m-learning components. To adapt e-contents sent to clients, a Device-Adaptive-Rendering component is used which takes platform, capability, physical and other contextual diversities of mobile devices into account. Using MCC increases the development speed and decreases the Lines Of Code (LOC) to build m-learning systems. Experiment outcomes demonstrate improvement in time taken by learners to answer the learning task questions and accuracy rates.
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Hu, Xinjue, Wei Quan, Tao Guo, Yu Liu, and Lin Zhang. "Mobile Edge Assisted Live Streaming System for Omnidirectional Video." Mobile Information Systems 2019 (May 21, 2019): 1–15. http://dx.doi.org/10.1155/2019/8487372.
Повний текст джерелаАнотація:
As a popular form of virtual reality (VR) media, omnidirectional video (OV) has been continuously developed in recent years. OV contains the view of the scene in every direction, which will ask for around 120 Mbps with 8k resolution and 25 fps (frames per second). Although there has been a lot of work to optimize the transmission for on-demand of OV, the research on the live streaming of OV is still very lacking. Another big challenge for the OV live streaming system is the huge demand for computing resources. The existing terminal devices are difficult to completely carry tasks such as stitching, encoding, and rendering. This paper proposes a mobile edge assisted live streaming system for omnidirectional video (MELiveOV); the MELiveOV can intelligently offload the processing tasks to the edge computing enabled 5G base stations. The MELiveOV consists of an omnidirectional video generation module, a streaming module, and a viewpoint prediction module. A prototype system of MELiveOV is implemented to prove its complete end-to-end OV live streaming service. Evaluation result demonstrates that compared with the traditional solution, MELiveOV can reduce the network bandwidth requirement by about 50% and the transmission delay of more than 70% while ensuring the quality of the user’s experience.
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Zhang, Xiaheng, Yonghua Cai, and Lin Xiao. "Visitor Information System of Cross-Border E-Commerce Platform Based on Mobile Edge Computing." Mobile Information Systems 2021 (July 6, 2021): 1–10. http://dx.doi.org/10.1155/2021/1687820.
Повний текст джерелаАнотація:
With the popularity of the Internet and the rapid development of e-commerce, online shopping has gradually become an indispensable part of people’s lives. Among them, the rise of cross-border e-commerce has become a focus of attention. The operation traces left by visitors during shopping on the e-commerce platform are stored in the database of the system, and the platform holds such a large amount of valuable data resources. How to unearth valuable content from these resources and apply them becomes very important. This article mainly introduces the research on the visitor information analysis system of the cross-border e-commerce platform based on mobile edge computing. This article first establishes the mobile edge computing framework based on the advantages of the mobile edge computing method and uses it to visit visitors in the visitor information analysis system. In the data filtering, secondly, the requirements of the visitor information analysis system of the cross-border e-commerce platform are analyzed to provide a design basis for the design of the visitor information system. Finally, the visitor information analysis based on the mobile edge algorithm is designed through the demand analysis of the system that has also been tested for visitor information analysis. The test pass rate is as high as 98%, and the accuracy rate of visitor information analysis reaches 80%.
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Gu, Xiaohui, Li Jin, Nan Zhao, and Guoan Zhang. "Energy-Efficient Computation Offloading and Transmit Power Allocation Scheme for Mobile Edge Computing." Mobile Information Systems 2019 (December 16, 2019): 1–9. http://dx.doi.org/10.1155/2019/3613250.
Повний текст джерелаАнотація:
Mobile edge computing (MEC) is considered a promising technique that prolongs battery life and enhances the computation capacity of mobile devices (MDs) by offloading computation-intensive tasks to the resource-rich cloud located at the edges of mobile networks. In this study, the problem of energy-efficient computation offloading with guaranteed performance in multiuser MEC systems was investigated. Given that MDs typically seek lower energy consumption and improve the performance of computing tasks, we provide an energy-efficient computation offloading and transmit power allocation scheme that reduces energy consumption and completion time. We formulate the energy efficiency cost minimization problem, which satisfies the completion time deadline constraint of MDs in an MEC system. In addition, the corresponding Karush–Kuhn–Tucker conditions are applied to solve the optimization problem, and a new algorithm comprising the computation offloading policy and transmission power allocation is presented. Numerical results demonstrate that our proposed scheme, with the optimal computation offloading policy and adapted transmission power for MDs, outperforms local computing and full offloading methods in terms of energy consumption and completion delay. Consequently, our proposed system could help overcome the restrictions on computation resources and battery life of mobile devices to meet the requirements of new applications.
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Schiller, J. "Review: Mobile Commerce and Wireless Computing Systems." Computer Journal 47, no. 2 (February 1, 2004): 272–73. http://dx.doi.org/10.1093/comjnl/47.2.272.
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Li, Zongcheng. "Super-metauniverse with cyber life as center in integrating cyber nature and cyber society sky-earth computing (III) beyond cloud computing." ITM Web of Conferences 45 (2022): 01067. http://dx.doi.org/10.1051/itmconf/20224501067.
Повний текст джерелаАнотація:
According to the analysis and design of this series of articles, with cyber life as the center, using big data platform, IOT, AI technology, and the super-metauniverse system engineering that we advocate to develop and implement, we integrate cyber natural system and cyber social system, and establish a super-metauniverse system (SMS) for the hyper cyber-world. cyber life system is a life system supported by IT and network technology, including cyber physiological system (CPS-2) and cyber psychological system (CPS-3); Cyber natural system is a natural system supported by IT and network technology, including cyber physical system (CPS-1); Cyber social system is a social system supported by IT and network technology, including cyber eventlogic system (CES). Therefore, it is necessary between the real ecosphere and the information ecosphere to organize and manage not only thousands of computers, mobile communication tools and robots thousands of computers, mobile communication tools and robots, but also thousands of people who use computers, mobile communication tools and robots, through the Internet of things, artificial intelligence technology, the bottom layer of big data computing platform, and the super-metauniverse system engineering proposed in this series of articles.
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Kozov, Aleksei V. "MODELS AND DESIGNING METHODS FOR THE DYNAMICALLY RECONFIGURABLE GROUP CONTROL SYSTEM FOR MOBILE ROBOTS." АВТОМАТИЗАЦИЯ ПРОЦЕССОВ УПРАВЛЕНИЯ 63, no. 1 (2021): 130–39. http://dx.doi.org/10.35752/1991-2927-2021-1-63-130-139.
Повний текст джерелаАнотація:
High adaptability is an important requirement for the control system over a group of mobile robots operating in a nondeterministic changing environment. The group control system must ensure that the group task is completed when the structure of the group or the environment changes. Such adaptability can be achieved through dynamic reconfiguration of the control system. The article discusses the mathematical models of a dynamically reconfigurable system from the standpoint of computer-aided design. A review of mathematical models of variable structure system, reconfigurable control systems and their design methods is presented. The paper deals with set-theoretic, analytical, discrete-event models of variable structure systems and methodologies of designing reconfigurable systems. It is shown that the existing design methods do not fully provide the required adaptability of designed group control system. The paper compares the group control system and the reconfigurable multiprocessor computing system and shows how to increase adaptability and autonomy of designed control system using principles of reconfigurable computing systems designing.
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Brousse, Olivier, Jérémie Guillot, Gilles Sassatelli, Thierry Gil, François Grize, and Michel Robert. "A Mobile Computing Framework for Pervasive Adaptive Platforms." International Journal of Distributed Sensor Networks 8, no. 1 (December 25, 2011): 193864. http://dx.doi.org/10.1155/2012/193864.
Повний текст джерелаАнотація:
Ubiquitous computing is now the new computing trend, such systems that interact with their environment require self-adaptability. Bioinspiration is a natural candidate to provide the capability to handle complex and changing scenarios. This paper presents a programming framework dedicated to pervasive platforms programming. This bioinspired and agentoriented framework has been developed within the frame of the PERPLEXUS European project that is intended to provide support for bioinspiration-driven system adaptability. This framework enables the platform to adapt itself to application requirements at high-level while using hardware acceleration at node level. The resulting programming solution has been used to program three collaborative robotic applications in which robots learn tasks and evolve for achieving a better adaptation to their environment.
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Zhou, Yanfang. "Mobile Information System for English Teaching Based on Edge Computing and VR." Mobile Information Systems 2021 (November 23, 2021): 1–9. http://dx.doi.org/10.1155/2021/9741244.
Повний текст джерелаАнотація:
There are many difficulties in using cloud computing technology to solve this problem, and edge computing technology just provides an effective way to solve this problem. Changing from two-dimensional to three-dimensional will make education more realistic. This article uses the VR technology algorithm to design and analyze the English teaching system, combined with the current environment and requirements, in the construction of teaching resources, in order to clarify the direction in practical application. Secondly, according to the scene of human behavior recognition, a human behavior data collection, processing and analysis system based on edge computing is designed and implemented. And on the basis of detailed analysis of VR technology, the theoretical basis of VR technology applied to experiment teaching is discussed, and the development of virtual experiment is analyzed concretely using systematic teaching design ideas. VR technology greatly stimulates students’ learning motivation but also significantly improves their interest in learning. In addition, the application of virtual technology has greatly improved students’ learning enthusiasm. According to the findings of this article, based on the application of virtual reality technology, students’ English comprehension skills have increased by 19%, and the degree of resource sharing has increased by 11%.
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Yang, Ke. "Application of Basketball Training System Based on Dynamic Intelligent Fog Computing Network." Mobile Information Systems 2021 (August 12, 2021): 1–12. http://dx.doi.org/10.1155/2021/3221639.
Повний текст джерелаАнотація:
Although the development of the mobile Internet and the Internet of Things has greatly promoted the progress and development of society, it has also created many problems for people on the road of scientific and technological exploration. In order to meet the problems and requirements of high bandwidth, high load, and low latency in the current network development, the emergence of the concept of mobile edge computing has attracted extensive attention from the academic community. This article focuses on the representative mode of mobile edge computing-fog computing (in this model, data, (data)processing, and applications are concentrated in devices at the edge of the network, instead of being stored almost entirely in the cloud). By applying it to the development and operation of basketball training system, it explores the performance of dynamic intelligent fog computing in intelligent end user services. This paper proposes a fog resource scheduling scheme based on linear weighted genetic algorithm, which converts the problem of multiobjective optimization into a single-objective optimization problem. When applying the genetic algorithm based on weighted sum, preference is given to delay, communication load, and service cost. Value is integrated into an objective function to perform genetic operations to get a better solution. From the experimental data, the system can support 20 DCTU terminals with a pressure request of 10 messages per second per terminal under the pressure environment created by the pressure test input data. The barrier-free transmission distance is 200 m, and the barrier transmission distance is 50 m. It has strong fault tolerance.