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Статті в журналах з теми "Cloud computing platform"

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Автор: Grafiati

Опубліковано: 6 вересня 2023

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1

Zhange, Zhi, Liwei Wang, Ruiying Liu, and Jinghang Fan. "Development of Cloud Computing Platform Based on Neural Network." Mathematical Problems in Engineering 2022 (March 7, 2022): 1–9. http://dx.doi.org/10.1155/2022/1513081.

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Анотація:

Aiming at the problems of small data storage, small platform throughput, and high energy consumption in the development of existing cloud computing platforms, this paper develops a cloud computing platform based on neural networks. In the design of the platform, firstly, the functions of the cloud computing platform are determined. Based on the function design, the hardware and software of the cloud computing platform are designed. In the hardware design, the topology of cloud computing platform, data acquisition module, single-chip microcomputer, node deployment, and other types of functional hardware are designed. In the software design, the neural network is mainly used to remove the redundancy of data stored in a cloud computing platform, design the data processing flow of cloud computing platform, and complete the development of cloud computing platform based on neural network. The experimental results show that the cloud computing platform based on the neural network designed in this paper runs faster, the throughput of platform data has been significantly improved, and the operating energy consumption of the platform is low.

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2

Zhiyuan, Fang, and Wei Li. "Cloud Service Platform." International Journal of Information Systems in the Service Sector 5, no. 3 (July 2013): 54–62. http://dx.doi.org/10.4018/jisss.2013070104.

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Health Information eXchange (HIX) is a part of Happiness Cloud Service Platform of Happiness Guangdong in Guangdong Province of China based on innovation of cloud-based business model. This article illustrates the hospital health care business services system based on cloud computing. major business functions of HIX includes integrated mobile medical information services, and mobile health information services. Key cloud service platform capabilities include appointment of HIX registration, doctor-patient interaction and Health Manager System, medical statistical analysis, and the other integrated support module including service platform and platform management provided by two major cloud computing technologies of SaaS and PaaS. Medical cloud services of HIX is an innovative business model for cloud computing, that is, the medical and health services provided to the public going though by cloud computing all over Guangdong Province in China.

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3

M, Govindaraj. "Computing Waste Management Using Cloud Platform and Sensors." International Journal of Psychosocial Rehabilitation 24, no. 5 (May 25, 2020): 6987–91. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020700.

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4

Chauhan, Akash. "A Comparative Study of Cloud Computing Platforms." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 1 (April 30, 2020): 821–26. http://dx.doi.org/10.17762/turcomat.v11i1.13563.

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Анотація:

This article offers a comparison and analysis of three of the most widely used cloud computing platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The research focuses on the most important aspects of each platform, such as the virtual machines they offer, the storage choices they provide, the database services they provide, and the serverless computing capabilities they provide. In addition to this, the paper discusses issues like as cost, availability, security, and scalability, as well as some of the positives and negatives associated with using each platform. The literature review that is included in this paper highlights some of the most important findings from recent studies on cloud computing platforms. These findings include the widespread use of Amazon Web Services (AWS), the difficulties that are encountered by organisations in the management of cloud computing resources, and the significance of aspects such as reliability, security, and cost when selecting a cloud computing platform. This article's overarching objective is to offer businesses a comprehensive introduction to AWS, Microsoft Azure, and Google Cloud Platform (GCP), and to assist those businesses in making well-informed choices regarding which cloud platform is best suited to meet their requirements.

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5

He, Dan Dan, Fang Qin, and Can Wang. "Application of Cloud Counting in Product Platform Design Services Research." Applied Mechanics and Materials 513-517 (February 2014): 1765–68. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1765.

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Product platform is a key theory in mass customization method, and it can satisfy diversely customer needs at high efficiency service and reduce enterprise product development costs. This dissertation explores the product platform development routing and design ability service and resources virtualization and other key technologies in the migration process of product platform to cloud platform in the background of computing clouds technology and product platform theory. It proposes the product platform design service architecture based on cloud computing and its design service modes and the related key technology to the study, including product platform resources virtualization in cloud computing environment and product family design ability services technology and product platform cloud data center retrieval technology, etc.

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6

Liu, Ji. "Optimization and Management in Order to Drive Targeted Networking Memory Database." Applied Mechanics and Materials 727-728 (January 2015): 965–68. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.965.

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In today's vehicle networking system architecture is mainly composed of four parts: sensor networks, wireless communication networks, cloud computing platforms and vehicle terminal. Wireless sensor network is responsible for the front of the real-time collection of traffic information, a wireless communication network to send information to the backend of the cloud computing platform, cloud computing platform to handle a large number of vehicles to collect real-time information from the front, and finally sends the information to the end user. In this thesis, this car networking research background, analyze vehicle networking system architecture consisting of performance indicators for each part of the system recognize cloud platform for large data processing efficiency as well as room for improvement. Then put forward the traditional computing platform I / O disk database with in-memory database to replace the cloud to enhance cloud computing platform for large data processing efficiency.

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7

Cheng, Peng, and Hui Qu. "Design and Realization Based on Cloud Stack Hybrid Cloud Computing Platform." Advanced Materials Research 989-994 (July 2014): 2297–300. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2297.

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While setting up the cloud computing platform by using OpenStack, there were some disadvantages such as very tedious operating steps and low efficiency. In this paper, we put forward a design and realization method based on CloudStack hybrid cloud computing platform. Firstly, we used CloudStack as tool to set up two independent cloud platforms, one of them was called public cloud and the other one private cloud. Then virtualization technology and a shared resource classification method discussed in this paper were performed to set up two virtual sub-servers on the main server and operate the cloud platform already established on it. Finally, we gave the two platforms corresponding authority, thus the hybrid cloud platform was established. This method was easy to set up and could reduce the cost effectively, therefore, it was very practical.

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8

Qaisar, Faizan, Hammad Shahab, Muhammad Iqbal, Hussain Mahmood Sargana, Muhammad Aqeel, and Muhammad Arslan Qayyum. "Recent Trends in Cloud Computing and IoT Platforms for IT Management and Development: A Review." Pakistan Journal of Engineering and Technology 6, no. 1 (March 10, 2023): 98–105. http://dx.doi.org/10.51846/vol6iss1pp98-105.

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Cloud computing has transformed the delivery and management of IT services, and with the advent of the Internet of Things (IoT), cloud platforms have become even more crucial for developing and managing IT solutions. This critical review article presents the latest research on cloud computing platforms with IoT capability and their impact on IT management and development. The review covers the advantages of cloud computing platforms, including their cost-effectiveness, scalability, and flexibility. It also provides an in-depth analysis of six leading cloud platforms with IoT capability: ThingSpeak, Ubidots Platform, AWS IoT, IBM Watson, ThingWorx, and Salesforce Platform. The review focuses on their features, capabilities, and limitations. The article concludes by emphasizing the crucial role of cloud computing platforms with IoT capability in IT management and development and their potential for future growth and development. The insights provided by this review are essential for researchers and practitioners who seek to comprehend the emerging trends in cloud computing platforms and their impact on IT management and development.

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9

Li, Ran, Jian Hua Fan, and Xiao Bo Wang. "Technique of Constructing Cloud Computing Platform Based on Ubuntu Enterprise Cloud." Advanced Materials Research 482-484 (February 2012): 713–16. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.713.

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Анотація:

Cloud computing is an effective approach for organizing computing resource and improving computing capability. In this paper, we designed and contstucted a private cloud computing platform based on ubuntu enterprise cloud. The cloud computing platform supports various clients dynamicly connet to cloud server and get cloud computing service via interface platform provided. Various kinds of virtual machine instance of different settings running on physical servers provide users computing and storage capability on demand. A series of high level functions guarantee computing service provision of platform.

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10

Khalifa, Iraky, Hala El-Sayed, and Islam Abd El-Gaber. "Enhanced Mobile Cloud Computing Platform." International Journal of Computer Applications 63, no. 7 (February 15, 2013): 12–18. http://dx.doi.org/10.5120/10477-5209.

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11

Jadhav, Priti, Poonam Lohangade, Sujata Jangam, and Tejashri Chavan. "Cloud Computing: Platform and Applications." International Journal of Advanced Engineering Research and Science 3, no. 12 (2016): 125–27. http://dx.doi.org/10.22161/ijaers/3.12.25.

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12

Kaish, Md, Kusum Sharma, and Dr Shikha Pandey. "Large-Scale Multimedia Communication on A Cloud Computing Platform." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (August 31, 2022): 1293–98. http://dx.doi.org/10.22214/ijraset.2022.46405.

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Abstract: This research examines the creation of a multimedia communication platform to expand the size of multimedia communication based on cloud computing (CC). The research focuses on high-quality material, multimedia profit avenues, and copyright awareness. Big data diversion under cloud computing optimizes data grouping and pattern identification. Cloud computing's typical large data shunting technology uses open-source embedded system architecture. The connecting coil ties the shunting system's switch to the cloud computing platform's switch, resulting in data loss and corruption. Using this method, it has been shown that CC cannot reach the ideal resource utilization, SLA violation rate, and energy use. Experiments reveal a divergence from this research. The major goal of media development is now the growth and self-awareness of media. Largescale multimedia communication needs an architecture for cloud computing with dynamic growth, efficient processing, and flexible resource scheduling

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13

Aouat, Asmaa, El Abbassia Deba, Abou El Hassan Benyamina, and Djilali Benhamamouch. "Deployment in Cloud Computing." International Journal of Distributed Systems and Technologies 11, no. 1 (January 2020): 27–37. http://dx.doi.org/10.4018/ijdst.2020010103.

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Анотація:

Although clouds have adopted common communication protocols such as HTTP and SOAP, interoperability, integration, and coordination of all clouds remain a concern. Instead, companies are looking for solutions to deploy an infrastructure that spans multiple instances of public and private clouds. Each of the proposed cloud solutions has its own limitations, management APIs, and development cycles that must be monitored and managed to provide a consistent set. The objective of the article is to answer the question: Is there a platform to deploy, run and manage applications in a multi-cloud environment and to ensure their availability, performance, and optimal use of resources?

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14

Gupta, Punit, and Deepika Agrawal. "Trusted Cloud Platform for Cloud Infrastructure." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 8 (August 30, 2013): 1884–91. http://dx.doi.org/10.24297/ijct.v10i8.1473.

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Reliability and trust Models are used to enhance secure , reliable scheduling , load balancing and QoS in cloud and Distributed environment. Trust models that are being used in Distributed and Grid environment, does not qualify cloud computing environment requirements. Since the parameters that have being taken into consideration in these trust models, does not fit in the cloud Infrastructure As A Service, a suitable trust model is proposed based on the existing model that is suitable for trust value management for the cloud IaaS parameters. Based on the above achieved trust values,Â trust based scheduling and load balancingÂ is done for better allocation of resources and enhancing the QOS of services been provided to the users. In this paper, an trust based cloud computing framework is proposed using trust model ,trust based scheduling and load balancing algorithms. Here we describe the design and development of trusted Cloud service model for cloud Infrastructure as a service (IaaS) known as VimCloud .VimCloud an open source cloud computing framework that implements the tusted Cloud Service Model andÂ trust based scheduling and load balancing algorithm . However one of the major issues in cloud IaaS is to ensure reliability and security or used data and computation. Trusted cloud service model ensures that user virual machine executes only on trusted cloud node, whose integrity and reliability is known in term of trust value . VimCloud shown practical in term of performace which is better then existing models.

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15

Lu, Wei Jun, Bo Long Cui, and Su Rong Hu. "Visualization Engineering Simulation Based on HTML5 and Cloud Computing." Advanced Materials Research 711 (June 2013): 575–81. http://dx.doi.org/10.4028/www.scientific.net/amr.711.575.

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Анотація:

Visualization Engineering Simulation Based on HTML5 and Cloud Computing is the first product using web technology in the development of simulation.This hardware simulation platform is a visualization simulation platform like Simulink, which is based on the browser, and provides a integrated environment with dynamic systems modeling, simulation and comprehensive analysis. The platform adopted HTML5 system, realize the cross-platform simulation.By calling the HTML5 standard Canvas 2D Graphics and other new technology, developers can visually control elements and logic circuit simulation tests, and it truly realize the span of PC, Android, BB10 and other operating system platforms for the work.Simulation of the platform carry out in the clouds,and the simulation process lower the requirements over equipment, therefore the requirements on the hardware in developing becomes transparency.Long term, the platform will be the focus shifted to engineering simulation development of Internet air.

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16

Fei, Song, Xiao Jing Wang, and Zhe Cui. "A Trust Model of P2P in Cloud Computing Environment." Applied Mechanics and Materials 278-280 (January 2013): 1962–65. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1962.

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Анотація:

Proposed a new trust model based on P2P technology in the cloud computing environment. The model takes into account more than one cloud computing platform, that is, considering the different cloud computing service provider provide the service of a cross-cloud platform. Such cross-platform cloud (Cross Cloud) can be called the composite cloud computing platform or cloud associated cloud computing platform.The nodes in the cloud computing environment are divided into two categories: customers and providers. According to the different roles of these two nodes, we designed a different trust mechanism, to divide the trust domain with independent single cloud, considered node independence and manageability of domain to process trust choice and trust update, and proposed a new kind of cloud computing service - trust recommendation service.

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17

Reheta, D. M. "Windows Azure cloud platform." CTE Workshop Proceedings 1 (March 21, 2013): 111. http://dx.doi.org/10.55056/cte.153.

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The functions and design of adaptive information-computing networks concentrates on the concept of electronic data processing based on cloud computing information technology using the Windows Azure platform. This platform is based on running a virtual machine for each instance of an interactive application. According to this concept, networked virtual objects are formed thanks to a special user interface supported by the system programs by means of network configuration tools. These are network virtual sites as a situational component of a logical network infrastructure. Windows Azure sells two cloud models in full: Platform as a Service (PaaS) and Infrastructure as a Service (IaaS).

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18

Su, Xiaofeng, and Tianjing Zhang. "Research on Intelligent Retrieval Method of Teaching Resources on Large-Scale Network Platform." Mathematical Problems in Engineering 2022 (May 27, 2022): 1–8. http://dx.doi.org/10.1155/2022/2745773.

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Анотація:

With the increase in information on various cloud computing platforms, there are more and more teaching documents and videos, which provide sufficient resources for people to learn. Facing the large-scale digital teaching resources, how to quickly and accurately retrieve the required content has become an important research direction in the information field. Especially in the face of heterogeneous, dynamic, and large-scale teaching resources stored in the cloud computing platform, the traditional cloud computing resource retrieval has poor performance and low work efficiency. To solve this problem, a cloud computing platform retrieval method based on genetic algorithm is proposed, which is suitable for intelligent retrieval of teaching resources. Firstly, the teaching resource storage system based on cloud computing platform is analyzed, and the overall architecture of the system and the network topology of cloud storage data are given. Then, a resource retrieval method suitable for cloud computing platform is designed by genetic algorithm, and the convergence performance of genetic algorithm is improved by ant colony algorithm. Finally, the selection algorithm in genetic algorithm is optimized by using random numbers and increasing the number of cycles. The experimental results show that the proposed intelligent retrieval method has greatly improved the Recall and Precision compared with the traditional retrieval methods.

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19

Zhang, Wei Dong, Xiang Qian Ding, and Rui Chun Hou. "Hadoop and PaaS Collaborative Practice Research in Video Monitoring Platform." Applied Mechanics and Materials 543-547 (March 2014): 3549–54. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3549.

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Cloud computing is an important area of current information technology research, particularly into the era of big data, Platform as a Service (PaaS) has become the industry to explore one of the hot clouds computing. But the function of the composition and architecture of platform services not yet conclusive, the paper on the application of Video monitoring platform through collaborative practice hadoop and PaaS, and proposed a new cloud computing platform Video monitoring solutions, PaaS and various modules under this program function overview. Provides a reference model for the era of big data Hadoop and PaaS collaborative applications.

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20

Xie, Feng, and Cai Zhi Liang. "Research of Internet of Things Based on Cloud Computing." Applied Mechanics and Materials 443 (October 2013): 589–93. http://dx.doi.org/10.4028/www.scientific.net/amm.443.589.

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This paper discusses the application of cloud computing in the logistics information platform, First introduced the basic concept and advantages of cloud computing, cloud computing architecture, cloud computing applications in the logistics information platform mode and the basic framework.

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21

Salunke, Nagesh Rajendra. "Files Storage & Sharing Platform Using Cloud." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 1338–44. http://dx.doi.org/10.22214/ijraset.2021.38994.

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Abstract: The concept of cloud computing becomes more popular in latest years. Data storage is very important and valuable research field in cloud computing. Cloud based file sharing is a file sharing security in cloud. The required security from unauthorized access of the file in the cloud is provided by the encryption and decryption function. The admin can provide file access option to the authorized users. This facility limits the number and time of access of the shared files by the admin for the authorized user. Cloud data storage technology is the core area in cloud computing and solves the data storage mode of cloud environment. This project introduces the concept of cloud computing and cloud storage as well as the architecture of cloud storage firstly. Then we analyze the cloud data storage technology amazon web services, wasabi, Digital Ocean etc. We will improve the traditional file storage method and we will make a platform which will get more privileges. Keywords: Cloud, Storage, AWS, Wasabi, File Management, Files Storage, Files Sharing, DMS, CMS, Drive store, Private Cloud.

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22

Addamani, Swapna, and Anirban Basu. "Performance Analysis of Cloud Computing Platform." International Journal of Applied Information Systems 4, no. 4 (October 10, 2012): 29–33. http://dx.doi.org/10.5120/ijais12-450697.

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23

Bruno, Rodrigo, Fernando Costa, and Paulo Ferreira. "freeCycles - Efficient Multi-Cloud Computing Platform." Journal of Grid Computing 15, no. 4 (October 30, 2017): 501–26. http://dx.doi.org/10.1007/s10723-017-9414-2.

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24

Lozinskiy, Anatol P. "Synthesis of Cloud Computing Platform Technologies." Control Systems and Computers, no. 6 (284) (December 2019): 35–45. http://dx.doi.org/10.15407/csc.2019.06.035.

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25

Carlin, Sean, and Kevin Curran. "Cloud Computing Security." International Journal of Ambient Computing and Intelligence 3, no. 1 (January 2011): 14–19. http://dx.doi.org/10.4018/jaci.2011010102.

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Анотація:

In this paper, the authors focus on Cloud Computing, which is a distributed architecture that centralizes server resources on quite a scalable platform so as to provide on demand’ computing resources and services The authors outline what cloud computing is, the various cloud deployment models and the main security risks and issues that are currently present within the cloud computing industry.

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26

Liu, Rui Xiang, Yu Hong Zhang, and Yan Tang. "A Mobile-Terminal-Oriented and Mobile-Cloud-Computing-Based Localized Scheduling Algorithm." Advanced Materials Research 989-994 (July 2014): 2111–14. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2111.

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Mobile Cloud Computing utilizes cloud computing in the mobile internet. It takes the advantage of portability of mobile devices, and uses cloud computing to make up mobile devices' shortcomings, i.e., the capabilities of computation and storage. With the advent of cloud computing, more and more IT companies establish their own cloud computing platforms by using Hadoop, which gradually makes Hadoop a distributed cloud computing platform. By considering important attributes of mobile devices, e.g., low computation workload, high concurrency, and high real-time demand, we propose in this paper a local scheduling algorithm which is based on Hadoop mobile cloud computing, and we analyze the influence of response time and throughput on the system utility.

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27

Chen, Xiao Wen. "Research on Digital Library Based on Cloud Computing." Advanced Materials Research 1078 (December 2014): 448–51. http://dx.doi.org/10.4028/www.scientific.net/amr.1078.448.

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Анотація:

In recent years, the development of digital libraries also encountered a lot of problems, the cloud computing was applied to digital libraries can solve the problem of information on demand and optimal scheduling of resources and transaction processing capabilities effectively, So as to achieve the purpose of improving the efficiency of resource of digital library and information security. From the digital library of cloud computing and personalized information services status in this paper, the study and found a problem about the digital library information services at this stage, let the virtualization cloud computing, the key technology of distributed data storage, massive data processing and cloud platforms used in building digital library of personalized information service with cloud platform, and deployment cloud services on the platform.

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28

Zou, Yuan Jun. "Cloud Data Management Based on Cloud Computing Technology." Applied Mechanics and Materials 543-547 (March 2014): 3573–76. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3573.

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Анотація:

Cloud computing, networking and other high-end computer data processing technology are the important contents of eleven-five development planning in China. They have developed rapidly in recent years in the field of engineering. In this paper, we combine parallel computing with the collaborative simulation principle, design a cloud computing platform, establish the mathematical model of cloud data processing and parallel computing algorithm, and verify the applicability of algorithm through the numerical simulation. Through numerical calculation, cloud computing platform can be divided into complex grids, and the transmission speed is fast, which is eight times than the finite difference method. The mesh is meticulous, which reaches millions. Convergence error is minimum, only 0.001. The calculation accuracy is up to 98.36%.

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29

Ren, Qiong. "Key Technology Research and System Development of Service Management Platform Based on Cloud Computing." Advanced Materials Research 926-930 (May 2014): 2349–52. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2349.

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Анотація:

Cloud computing is an emerging computing model, which is developed on the basis of grid computing, and has wide application prospect. This paper systematically analyzes and summarizes the research status of cloud computing, low cost, high reliability, high availability, scalable scale, such as the research target, deep service based on cloud computing platform is introduced to develop key technologies and the latest research progress, discusses the cloud computing service management platform functional requirements, and studied the system development, to further promote cloud computing and is of great significance to the formation of new service management platform.

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30

Zong, Xuejun, Qiang Li, Zhongjun Yang, Kan He, and Dimiter Velev. "Comprehensive Management Platform of Natural Disasters Based on Cloud Computing." International Journal of Machine Learning and Computing 6, no. 3 (June 2016): 179–83. http://dx.doi.org/10.18178/ijmlc.2016.6.3.595.

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31

Li, Xiao Hui, Wei Liu, and Le Le Wang. "Analysis of the Data Mining Application Based on Cloud Computing." Applied Mechanics and Materials 397-400 (September 2013): 2426–29. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2426.

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Анотація:

Cloud computing as a new network technology has been widely used in various fields, a important role of cloud computing is the storage and management for massive information data, therefore the cloud computing provides a good platform for data mining. This paper first describes simply on cloud computing, and then expounds and analyzes data mining application which based on cloud computing, finally introduces the data mining application based on cloud computing platform.

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32

Zhao, Wei, and Hong Tao Zhang. "E-Commerce Recommendation System Based on Cloud Computing." Advanced Materials Research 926-930 (May 2014): 2570–73. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2570.

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Анотація:

According to the Present Situations were that there is an urgent demand for large data analysis in Electronic Commerce, by using cloud computings advantage in storing and analyzing mass data, the solution of new project which can analysis data was proposed, based on the cloud computing. Firstly, aiming to the advantages of the cloud computing platform, the novel data-analysis architecture was designed, then the business flow chart by using cloud computing analysis on the architecture. Finally the project is validated by practical application and possesses certain reference meaning in data exchange based on cloud computing.

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33

Jiao, Ya Bing. "The Design of the Logistics Information Sharing Platform Based on Cloud Computing." Advanced Materials Research 734-737 (August 2013): 3220–23. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.3220.

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Cloud computing is high scalability, high reliability, high resource utilization Characteristics. In this paper, according to the characteristics of the logistics information, combined with cloud computing technology to build the model of logistics information sharing platform based on cloud computing. On cloud computing technology application of key technologies in the logistics information sharing platform is analyzed. Finally, this paper has carried on the design of logistics information sharing platform based on cloud technology. With the use of logistics information sharing platform, the logistics information development play a powerful role in promoting.

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Ravele, Khathutshelo J., and Matolwandile Mtotywa. "Factors influencing quality and performance of cloud computing platforms defined by personal users in South Africa." International Journal of Research in Business and Social Science (2147- 4478) 11, no. 7 (November 6, 2022): 78–91. http://dx.doi.org/10.20525/ijrbs.v11i7.2027.

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Cloud computing changed our way of doing things because we now maintain our systems and data on global online platforms. The research aimed to investigate the predictive factors determining the quality of personal users' cloud computing and their effect on platform performance. The study adopted a cross-sectional, descriptive, quantitative design conducted within South African communities and received 254 responses, a response rate of 66.1%. The measurement model (SRMR = 0.071) results demonstrated that cost-effectiveness, reliability, flexibility, availability, security effectiveness, and scalability collectively define the quality of cloud computing platforms utilized by personal users. AVE (0.575 – 0.694), CR (0.844 – 0.901), Fornell-Larcker criterion, and cross-loadings confirmed convergent validity, reliability, and discriminant validity. Security effectiveness, scalability, and reliability have a statistically significant effect on platform performance with small to medium effect sizes. The theoretical implication is an enhanced domestication theory of technology based on cloud computing, thus providing insights into the needs required to fit within the prevailing environment and context. In addition, it helped understand the personal users' decisions on cloud computing. The study enhances cloud computing at a personal level through understanding that the decision and value may differ from well-researched organizational levels.

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Chondamrongkul, Nacha. "Model-driven framework to support evolution of mobile applications in multi-cloud environments." International Journal of Pervasive Computing and Communications 12, no. 3 (September 5, 2016): 332–51. http://dx.doi.org/10.1108/ijpcc-01-2016-0003.

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Purpose The development of mobile applications in multiple clouds environment is a complex task because of the lack of platform standards in cloud computing and mobile computing. The source code involves various proprietary programming libraries for different platforms. However, functionalities are inevitably changed over time, as well as the platform. Therefore, a great deal of development effort is required, when changes need to be made at functional and platform level. This paper aims to propose SIMON, a framework that eases complexity of the development to support software evolution. Design/methodology/approach SIMON shields the developer from the complexity of mobile and cloud platforms in the development of mobile applications in multiple clouds environment. The framework uses model of application design to automate the development and support execution of mobile applications in system environment that needs integration to the number of data sources located on multiple clouds. The framework is composed of prefabricated components that support function changeability and platform adaptability. Findings The framework is examined with the development of a sample application. After it is evaluated with scenarios that involve changing at functional and platform levels, the result shows significant reducing of the development effort by comparing with the other approaches. Originality/value The framework facilitates the implementation of mobile applications in the software system that involves integration to multiple clouds, and it supports software evolution with lesser development effort.

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Khan, Nawsher, A. Noraziah, Elrasheed I. Ismail, Mustafa Mat Deris, and Tutut Herawan. "Cloud Computing." International Journal of E-Entrepreneurship and Innovation 3, no. 2 (April 2012): 51–59. http://dx.doi.org/10.4018/jeei.2012040104.

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Cloud computing is fundamentally altering the expectations for how and when computing, storage, and networking resources should be allocated, managed, consumed, and allow users to utilize services globally. Due to the powerful computing and storage, high availability and security, easy accessibility and adaptability, reliable scalability and interoperability, cost and time effective cloud computing is the top, needed for current fast growing business world. A client, organization or a trade that adopting emerging cloud environment can choose a well suitable infrastructure, platform, software, and a network resource, for any business, where each one has some exclusive features and advantages. The authors first develop a comprehensive classification for describing cloud computing architecture. This classification help in survey of several existing cloud computing services developed by various projects globally such as Amazon, Google, Microsoft, Sun and Force.com and by using this survey’s results the authors identified similarities and differences of the architecture approaches of cloud computing.

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Luo, Ying, and Xiang Qing Zhang. "Cloud-Based Platform Building Research of Teaching Resources." Applied Mechanics and Materials 347-350 (August 2013): 3347–50. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3347.

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In cloud computing era, establishing a unified, open, flexible education informatization platform has significant influence in realizing resource sharing and narrowing education informatization gap. This paper presents the advantage of cloud computing and problems existing in the construction of teaching resource platform, puts forward exploiting and constructing teaching resource platform based on cloud computing, and analyzes the application function of cloud service.

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Song, Yu Bo, and Zhao Yuan Jiang. "Enterprise Asset Management Platform under Cloud Computing Mode." Advanced Materials Research 542-543 (June 2012): 1271–74. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.1271.

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Enterprise asset management system can help to reduce operating costs, improve the management level of enterprise, and the relevant industry expert knowledge contained in this system can provide a unified management platform for all key assets of enterprise. To build an information center of enterprise asset management that is cross-industry and cross-area, cloud computing technology should be introduced to build cloud computing platform of asset management. The construction needs of asset management cloud platform are analyzed, and the cloud computing characteristics of platform construction is studied in this paper. Afterwards, the system architecture and key technologies of constructing the cloud computing platform for enterprise asset management are put forward.

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Feng, Xiao Chuan. "Study of Higher Institutes Platform Based on Cloud Computing." Applied Mechanics and Materials 644-650 (September 2014): 6301–4. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.6301.

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Cloud computing, the future development direction of the IT industry, has the profound influence of cloud computing applications, which is bound to the field of higher education, the construction of university network education resources platform is the integration of all kinds of educational resources of colleges and universities, and to provide fast and convenient resource storage, sharing, learning and computational ability. This article is from the university network education platform of cloud computing based on the advantages of the proposed strategy, construction of information resources of University under the cloud computing environment. This is how the cloud model construction resources platform of network education in Colleges and universities. With the rapid development of Internet, people from all walks of life to and gradually mature "cloud computing" model of combining the road to seek an opportunity. However, in the field of education, the application of cloud computing is scanty. Research on the current college network education situation and abuse with according to the characteristics of cloud computing, advantages, and puts forward the conception of network education platform based on cloud computing, and further demonstrates its feasibility. It is the high time to improve the transplantation and service application pattern of cloud computing in the field of education. The main works of this paper are as follows: firstly, the domestic and foreign network education to analyze the situation, reasons and problems existing in domestic university network education problems.

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Anglano, Cosimo, Massimo Canonico, and Marco Guazzone. "An educational toolkit for teaching cloud computing." ACM SIGCOMM Computer Communication Review 51, no. 4 (October 24, 2021): 36–46. http://dx.doi.org/10.1145/3503954.3503959.

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In an educational context, experimenting with a real cloud computing platform is very important to let students understand the core concepts, methodologies and technologies of cloud computing. However, API heterogeneity of cloud providers complicates the experimentation by forcing students to focus on the use of different APIs, and by hindering the jointly use of different platforms. In this paper, we present EasyCloud, a toolkit enabling the easy and effective use of different cloud platforms. In particular, we describe its features, architecture, scalability, and use in our cloud computing courses, as well as the pedagogical insights we learnt over the years.

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Lu, Xin, and Shan Hui Lu. "The Design of Teaching Resources Platform Based on Cloud Computing in University." Advanced Materials Research 998-999 (July 2014): 1729–32. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1729.

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As a new service mode, cloud computing has been widely applied in many fields both at home and abroad. The author introduces the basic principles of cloud computing, and analyses the characteristics of the teaching resources platform based on cloud computing. Finally, a design scheme of teaching resources platform based on cloud computing is proposed in the article, which can solve the problems such as .platform distribution scattered and repeated investment.

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Zhang, Tao, Shou Ming Ma, Wei Min Lin, and Yuan Yuan Ma. "Constructing Secure Cloud Computing Platform for Strong Smart Grid." Advanced Materials Research 760-762 (September 2013): 1718–22. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1718.

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As a new paradigm for hosting and delivering services over the Internet, cloud computing technology especially suitable for dealing with series of problems in strong smart grid. However, despite the fact that cloud computing offers huge opportunities to the strong smart grid, the development of cloud computing technology is currently at its infancy, especially with many security issues to be addressed. In this paper, we present the overall architecture and benefits of cloud computing applications in strong smart grid. After that, we propose a unified security protection system framework of power cloud computing and give some practicable security protection suggestions.

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Cao, Yan Fei, and Jun Ming Pan. "The Study of Network Information System Security Strategy Based on Trusted Cloud Computing." Applied Mechanics and Materials 571-572 (June 2014): 400–403. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.400.

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This paper analyzed functions of the network information system based on trusted computing and trusted computing platform based on cloud computing. Raised the propose to expand the application of trusted computing technology to network information system, to meet the needs of cloud computing of trusted computing, trusted cloud computing, implement the trusted cloud computing. In our design, will take the Trusted Computing Platform (TCP) as the basis of cloud computing system, provide some important security functions to ensure the communication and data security.Finally put forward the implement methods.

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Lu, An Sheng, Jian Jiang Cai, Wei Jin, and Lu Wang. "Research and Practice of Cloud Computing Based on Hadoop." Applied Mechanics and Materials 644-650 (September 2014): 3387–89. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3387.

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Hadoop is a distributed parallel processing of massive data computing platform. It is currently the most widely used cloud computing platform. This paper analyses and studies the Hadoop distributed file system HDFS and the calculation model of MapReduce on Hadoop platform and the cloud computing model that is based on Hadoop, the paper introduces the process of building cloud computing platform, Hadoop, operating environment, and proposing the implementation.

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Wang, Yu Jiao, Hai Yun Lin, and Hui Rong. "Design of Network Learning Platform Based on Cloud-Computation." Advanced Materials Research 488-489 (March 2012): 1315–18. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1315.

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Cloud computing is a brand new network concept after grid computing, which is the development trend of the next generation of internet. Cloud computing, as a network application mode of low costs and high performance, is gradually influencing people’s learning, work and life. Through the analysis of cloud computing and its key technology combined with the features of network learning, a network learning system model based on cloud computing is constructed, which could realize flexible expansion according to users’ requirements.

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Barokah, Ilmi, and Asriyanik Asriyanik. "Analisis Perbandingan Serverless Computing Pada Google Cloud Platform." Jurnal Teknologi Informatika dan Komputer 7, no. 2 (September 30, 2021): 169–87. http://dx.doi.org/10.37012/jtik.v7i2.662.

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Serverless computing menjadi paradigma tren baru di cloud komputasi, memungkinkan pengembang untuk fokus pada aplikasi inti logika dan aplikasi prototipe cepat. Serverless computing memiliki biaya yang lebih rendah dan kenyamanan yang diberikannya kepada pengguna yang tidak perlu fokus pada manajemen server. Karena prospeknya yang bagus Serverless computing, dalam beberapa tahun terakhir, sebagian besar vendor cloud utama telah meluncurkan platform komputasi tanpa server komoditas mereka. Namun, karakteristik platform ini belum dipelajari secara sistematis. Perlunya analisis platform ini secara kualitatif yaitu mulai dari pengembangan, penyebaran, dan aspek runtime untuk membentuk taksonomi karakteristik. Google Cloud Platform memiliki beberapa jenis serverless Computing, dalam artikel ini akan dijelaskan mengenai perbandingan antara beberapa Serverless Computing yaitu diantaranya Cloud Functions, App Engine, Cloud Run,dan Google Kuberenetes Engine (GKE).

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Baciu, George, Yungzhe Wang, and Chenhui Li. "Cognitive Visual Analytics of Multi-Dimensional Cloud System Monitoring Data." International Journal of Software Science and Computational Intelligence 9, no. 1 (January 2017): 20–34. http://dx.doi.org/10.4018/ijssci.2017010102.

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Hardware virtualization has enabled large scale computational service delivery models with high cost leverage and improved resource utilization on cloud computing platforms. This has completely changed the landscape of computing in the last decade. It has also enabled large–scale data analytics through distributed high performance computing. Due to the infrastructure complexity, end–users and administrators of cloud platforms can rarely obtain a full picture of the state of cloud computing systems and data centers. Recent monitoring tools enable users to obtain large amounts of data with respect to many utilization parameters of cloud platforms. However, they fail to get the maximal overall insight into the resource utilization dynamics of cloud platforms. Furthermore, existing tools make it difficult to observe large-scale patterns, making it difficult to learn from the past behavior of cloud system dynamics. In this work, the authors describe a perceptual-based interactive visualization platform that gives users and administrators a cognitive view of cloud computing system dynamics.

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Zhao, Kai, Qingxue Yang, and Xinming Ma. "Exploration of An Open Online Learning Platform Based on Google Cloud Computing." International Journal of Emerging Technologies in Learning (iJET) 12, no. 07 (July 12, 2017): 17. http://dx.doi.org/10.3991/ijet.v12i07.7249.

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With the progress of society, traditional online learning platforms have demonstrated the uneven distribution of information resources, and teacher–student communication exhibits a certain delay. At present, cloud computing, which is a new product of information technology, has been favored in many areas because of its superior feedback mechanism and storage space. Therefore, to improve the integration of online learning information resources and facilitate interaction between teachers and students, we designed our own online learning system based on the Google cloud computing platform. We used Google’s cloud computing platform and the Google App Engine to develop a unified and open online learning platform that is capable of storing large amounts of data, integrating considerable amounts of learning resources, and storing them on cloud. Through a test, we determined that the designed online learning platform for sharing information resources and integrating teacher–student exchanges is highly beneficial. The platform helps the classroom learning atmosphere become active, and has a positive effect on teaching methods. The proposed platform can promote further development of online learning.

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Yuan, Liu. "Interactive system design of entrepreneurship education based on internet of things and machine learning." Journal of Intelligent & Fuzzy Systems 39, no. 4 (October 21, 2020): 5761–72. http://dx.doi.org/10.3233/jifs-189053.

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The rapid development of cloud computing, internet of things and entrepreneurship education has enabled more young educators to choose an online education platform for education and teaching. Moreover, applying cloud computing technology with more advantages such as large storage, strong computing power and high stability to the construction of online education platform is an inevitable result. This paper applied the advantages of cloud computing to the development and implementation of entrepreneurship education online education platforms. In terms of curriculum setting, colleges and universities should add and improve sustainable entrepreneurship courses. Education departments should optimize the curriculum system of entrepreneurship education, improve the structure of students’ entrepreneurship knowledge, and take corresponding measures to achieve the positive development of sustainable entrepreneurship education.At the same time, the overall architecture, functional modules and details of the cloud-based online education platform were further explored, which provides a more complete theoretical basis for the research and design of the platform. Through comparative experiments, the research shows that the proposed algorithm has certain effects.

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Dong, Zhao Yang, and Lin Zhang. "A Comprehensive Security Strategy Applying to the Total Life Cycle of Cloud Computing Data Center." Applied Mechanics and Materials 556-562 (May 2014): 6259–61. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6259.

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Aiming at the security issues of cloud computing data center, the systematic security construction architecture of cloud computing data center is proposed. By surrounding the key aspects of security construction, such as infrastructure security, virtual security, cloud authentication and authorization, data isolation and protection, cloud platform and cloud service security, security operation maintenance, cloud computing platform migration, and disaster recovery backup, the security architecture constructs a multi-level, multi-angle tridimensional defense system in depth. It ensures the life cycle security for resource services of the cloud computing data center. Many key problems are further discussed in detail, such as the problem of data storage security, security domain isolation, cloud computing platform tenants accessing, and terminal accessing. This paper provides reference for the security construction of cloud computing data center, and gives guide to the implementation of the relevant security measures.

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