Relevant bibliographies by topics / Fog Communications and Computing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fog Communications and Computing'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Fog Communications and Computing"

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Bhatt, Chintan, and C. K. Bhensdadia. "Fog Computing." International Journal of Grid and High Performance Computing 9, no. 4 (October 2017): 105–13. http://dx.doi.org/10.4018/ijghpc.2017100107.

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The Internet of Things could be a recent computing paradigm, defined by networks of extremely connected things – sensors, actuators and good objects – communication across networks of homes, buildings, vehicles, and even individuals whereas cloud computing could be ready to keep up with current processing and machine demands. Fog computing provides architectural resolution to deal with some of these issues by providing a layer of intermediate nodes what's referred to as an edge network [26]. These edge nodes provide interoperability, real-time interaction, and if necessary, computational to the Cloud. This paper tries to analyse different fog computing functionalities, tools and technologies and research issues.
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Chen, Songqing, Tao Zhang, and Weisong Shi. "Fog Computing." IEEE Internet Computing 21, no. 2 (March 2017): 4–6. http://dx.doi.org/10.1109/mic.2017.39.

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Wang, Shangguang, Ao Zhou, Michael M. Komarov, and Stephen S. Yau. "Services and communications in fog computing." China Communications 14, no. 11 (November 2017): iii—iv. http://dx.doi.org/10.1109/cc.2017.8233645.

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Mangla, Cherry, Shalli Rani, and Henry Kwame Atiglah. "Secure Data Transmission Using Quantum Cryptography in Fog Computing." Wireless Communications and Mobile Computing 2022 (January 22, 2022): 1–8. http://dx.doi.org/10.1155/2022/3426811.

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Fog computing’s idea is to bring virtual existence into objects used on a daily basis. The “objects” layer of fog architecture is also known as the smart object layer (SOL). SOL has provided the fog network with a strong platform to outperform. Although the fog architecture decentralizes data, uses more data centers, and collects and transmits it to adjacent servers for faster processing in fog networks, it faces several security challenges. The security problems of fog computing need to be alleviated for the exploitation of all benefits of fog computing in classical networks. This article has addressed the security challenges in fog computing, potential solutions via quantum cryptography, a use case portraying the importance of quantum cryptography in fog computing along future scope, and research directions.
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Artem, Volkov, Kovalenko Vadim, Ibrahim A. Elgendy, Ammar Muthanna, and Andrey Koucheryavy. "DD-FoG: Intelligent Distributed Dynamic FoG Computing Framework." Future Internet 14, no. 1 (December 27, 2021): 13. http://dx.doi.org/10.3390/fi14010013.

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Nowadays, 5G networks are emerged and designed to integrate all the achievements of mobile and fixed communication networks, in which it can provide ultra-high data speeds and enable a broad range of new services with new cloud computing structures such as fog and edge. In spite of this, the complex nature of the system, especially with the varying network conditions, variety of possible mechanisms, hardware, and protocols, makes communication between these technologies challenging. To this end, in this paper, we proposed a new distributed and fog (DD-fog) framework for software development, in which fog and mobile edge computing (MEC) technologies and microservices approach are jointly considered. More specifically, based on the computational and network capabilities, this framework provides a microservices migration between fog structures and elements, in which user query statistics in each of the fog structures are considered. In addition, a new modern solution was proposed for IoT-based application development and deployment, which provides new time constraint services like a tactile internet, autonomous vehicles, etc. Moreover, to maintain quality service delivery services, two different algorithms have been developed to pick load points in the search mechanism for congestion of users and find the fog migration node. Finally, simulation results proved that the proposed framework could reduce the execution time of the microservice function by up to 70% by deploying the rational allocation of resources reasonably.
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Al-khafajiy, Mohammed, Thar Baker, Hilal Al-Libawy, Zakaria Maamar, Moayad Aloqaily, and Yaser Jararweh. "Improving fog computing performance via Fog-2-Fog collaboration." Future Generation Computer Systems 100 (November 2019): 266–80. http://dx.doi.org/10.1016/j.future.2019.05.015.

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Neware, Rahul, and Urmila Shrawankar. "Fog Computing Architecture, Applications and Security Issues." International Journal of Fog Computing 3, no. 1 (January 2020): 75–105. http://dx.doi.org/10.4018/ijfc.2020010105.

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Fog computing spreads the cloud administrations and services to the edge of the system, and brings processing, communications and reserving, and storage capacity closer to edge gadgets and end-clients and, in the process, aims at enhancing versatility, low latency, transfer speed and safety and protection. This article takes an extensive and wide-ranging view of fog computing, covering several aspects. At the outset is the many-layered structural design of fog computing and its attributes. After that, chief advances like communication and inter-exchange, computing, etc. are delineated, while showing how these backup and facilitate the installations and various applications. Following that, it is shown that how, despite fog computing being a feature-rich platform, it is dogged by its susceptibility to several security, privacy, and safety concerns, which stem from the nature of its widely distributed and open architecture. Finally, some suggestions are advanced to address some of the safety challenges discussed so as to propel the further growth of fog computing.
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Pallas, Frank, Philip Raschke, and David Bermbach. "Fog Computing as Privacy Enabler." IEEE Internet Computing 24, no. 4 (July 1, 2020): 15–21. http://dx.doi.org/10.1109/mic.2020.2979161.

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An, Xingshuo, Fuhong Lin, Shenggang Xu, Li Miao, and Chao Gong. "A Novel Differential Game Model-Based Intrusion Response Strategy in Fog Computing." Security and Communication Networks 2018 (August 1, 2018): 1–9. http://dx.doi.org/10.1155/2018/1821804.

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Fog computing is an emerging network paradigm. Due to its characteristics (e.g., geo-location and constrained resource), fog computing is subject to a broad range of security threats. Intrusion detection system (IDS) is an essential security technology to deal with the security threats in fog computing. We have introduced a fog computing IDS (FC-IDS) framework in our previous work. In this paper, we study the optimal intrusion response strategy in fog computing based on the FC-IDS scheme proposed in our previous work. We postulate the intrusion process in fog computing and describe it with a mathematical model based on differential game theory. According to this model, the optimal response strategy is obtained corresponding to the optimal intrusion strategy. Theoretical analysis and simulation results demonstrate that our security model can effectively stabilize the intrusion frequency of the invaders in fog computing.
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Menon, Varun G., and Joe Prathap. "Vehicular Fog Computing." International Journal of Vehicular Telematics and Infotainment Systems 1, no. 2 (July 2017): 15–23. http://dx.doi.org/10.4018/ijvtis.2017070102.

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In recent years Vehicular Ad Hoc Networks (VANETs) have received increased attention due to its numerous applications in cooperative collision warning and traffic alert broadcasting. VANETs have been depending on cloud computing for networking, computing and data storage services. Emergence of advanced vehicular applications has led to the increased demand for powerful communication and computation facilities with low latency. With cloud computing unable to satisfy these demands, the focus has shifted to bring computation and communication facilities nearer to the vehicles, leading to the emergence of Vehicular Fog Computing (VFC). VFC installs highly virtualized computing and storage facilities at the proximity of these vehicles. The integration of fog computing into VANETs comes with a number of challenges that range from improved quality of service, security and privacy of data to efficient resource management. This paper presents an overview of this promising technology and discusses the issues and challenges in its implementation with future research directions.
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Dissertations / Theses on the topic "Fog Communications and Computing"

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Butterfield, Ellis H. "Fog Computing with Go: A Comparative Study." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1348.

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The Internet of Things is a recent computing paradigm, de- fined by networks of highly connected things – sensors, actuators and smart objects – communicating across networks of homes, buildings, vehicles, and even people. The Internet of Things brings with it a host of new problems, from managing security on constrained devices to processing never before seen amounts of data. While cloud computing might be able to keep up with current data processing and computational demands, it is unclear whether it can be extended to the requirements brought forth by Internet of Things. Fog computing provides an architectural solution to address some of these problems by providing a layer of intermediary nodes within what is called an edge network, separating the local object networks and the Cloud. These edge nodes provide interoperability, real-time interaction, routing, and, if necessary, computational delegation to the Cloud. This paper attempts to evaluate Go, a distributed systems language developed by Google, in the context of requirements set forth by Fog computing. Similar methodologies of previous literature are simulated and benchmarked against in order to assess the viability of Go in the edge nodes of Fog computing architecture.
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Mebrek, Adila. "Fog Computing pour l’Internet des objets." Thesis, Troyes, 2020. http://www.theses.fr/2020TROY0028.

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Le Fog Computing constitue une approche prometteuse dans le contexte de l’Internet des Objets (IoT) car il fournit des fonctionnalités et des ressources à l’extrémité du réseau, plus près des utilisateurs finaux. Cette thèse étudie les performances du Fog Computing dans le cadre des applications IoT sensibles à la latence. La première problématique traitée concerne la modélisation mathématique d’un système IoT-fog-cloud, ainsi que les métriques de performances du système en termes d’énergie consommée et de latence. Cette modélisation nous permettra par la suite de proposer diverses stratégies efficaces de distribution de contenu et d’allocation des ressources dans le fog et le cloud. La deuxième problématique abordée dans cette thèse concerne la distribution de contenu et de données des objets dans des systèmes fog/cloud. Afin d’optimiser simultanément les décisions d’offloading et d’allocation des ressources du système, nous distinguons entre deux types d’applications IoT : (1) applications IoT à contenu statique ou avec des mises à jour peu fréquentes ; et (2) applications IoT à contenu dynamique. Pour chaque type d’application, nous étudions le problème d’offloading de requêtes IoT dans le fog. Nous nous concentrons sur les problèmes d'équilibrage de charge afin de minimiser la latence et l’énergie totale consommée par le système
Fog computing is a promising approach in the context of the Internet of Things (IoT) as it provides functionality and resources at the edge of the network, closer to end users. This thesis studies the performance of fog computing in the context of latency sensitive IoT applications. The first issue addressed is the mathematical modeling of an IoT-fogcloud system, and the performance metrics of the system in terms of energy consumed and latency. This modeling will then allow us to propose various effective strategies for content distribution and resource allocation in the fog and the cloud. The second issue addressed in this thesis concerns the distribution of content and object data in fog / cloud systems. In order to simultaneously optimize offloading and system resource allocation decisions, we distinguish between two types of IoT applications: (1) IoT applications with static content or with infrequent updates; and (2) IoT applications with dynamic content. For each type of application, we study the problem of offloading IoT requests in the fog. We focus on load balancing issues to minimize latency and the total power consumed by the system
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Erman, Maria. "Applications of Soft Computing Techniques for Wireless Communications." Licentiate thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17314.

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This thesis presents methods and applications of Fuzzy Logic and Rough Sets in the domain of Telecommunications at both the network and physical layers. Specifically, the use of a new class of functions, the truncated π functions, for classifying IP traffic by matching datagram size histograms is explored. Furthermore, work on adapting the payoff matrix in multiplayer games by using fuzzy entries as opposed to crisp values that are hard to quantify, is presented. Additionally, applications of fuzzy logic in wireless communications are presented, comprised by a comprehensive review of current trends and applications, followed by work directed towards using it in spectrum sensing and power control in cognitive radio networks. This licentiate thesis represents parts of my work in the fields of Fuzzy Systems and Wireless Communications. The work was done in collaboration between the Departments of Applied Signal Processing and Mathematics at Blekinge Institute of Technology.
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Badokhon, Alaa. "An Adaptable, Fog-Computing Machine-to-Machine Internet of Things Communication Framework." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1492450137643915.

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Wiss, Thomas. "Evaluation of Internet of Things Communication Protocols Adapted for Secure Transmission in Fog Computing Environments." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-35298.

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A current challenge in the Internet of Things is the seeking after conceptual structures to connect the presumably billions of devices of innumerable forms and capabilities. An emerging architectural concept, the fog cloud computing, moves the seemingly unlimited computational power of the distant cloud to the edge of the network, closer to the potentially computationally limited things, effectively diminishing the experienced latency. To allow computationally-constrained devices partaking in the network they have to be relieved from the burden of constant availability and extensive computational execution. Establishing a publish/subscribe communication pattern with the utilization of the popular Internet of Things application layer protocol Constrained Application Protocol is depicted one approach of overcoming this issue. In this project, a Java based library to establish a publish/subscribe communication pattern for the Constrained Application Protocol was develop. Furthermore, efforts to build and assess prototypes of several publish/subscribe application layer protocols executed over varying common as well as secured versions of the standard and non-standard transport layer protocols were made to take advantage, evaluate, and compare the developed library. The results indicate that the standard protocol stacks represent solid candidates yet one non-standard protocol stack is the considered prime candidate which still maintains a low response time while not adding a significant amount of communication overhead.
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Kaghazchi, Hassan. "A diagnostics model for industrial communications networks." Thesis, University of Sunderland, 2015. http://sure.sunderland.ac.uk/5651/.

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Over the past twenty years industrial communications networks have become common place in most industrial plants. The high availability of these networks is crucial in smooth plant operations. Therefore local and remote diagnostics of these networks is of primary importance in solving any existing or emerging network problems. Users for most part consider the “plant networks” as black boxes, and often not sure of the actual health of the networks. The major part of the work outlined in this research concentrates on the proposed “Network Diagnostics Model” for local and remote monitoring. The main objective of the research is to aid the establishment of tools and techniques for diagnosis of the industrial networks, with particular emphasis on PROFIBUS and PROFINET. Additionally this research has resulted in development of a number of devices to aid in network diagnostics. The work outlined in this submission contributes to the developments in the area of online diagnostics systems. The development work was conducted in the following phases: 1. Development of Function Block (FB) for diagnosing PROFIBUS network for implementation on PLC. 2. Development of OPC server for diagnosing PROFIBUS network for implementation on PC. 3. Development of a web based diagnostic software for multiple fieldbuses for implementation on imbedded XP platform. 4. Development of OPC server for diagnosing PROFINET network for implementation on PC 5. Conformance testing of masters (PLC) in PROFIBUS network to increase the health of the network. 6. Use of diagnostics tools for performance analysis of fieldbuses networks for high performance applications. The research work outlined in this submission has made a significant and coherent contribution to online diagnostics of fieldbus communications networks, and has paved the way for the introduction of the online diagnostics devices to the market place. It has shown that the proposed model provides a uniform framework for research and development of diagnostics tools and techniques for fieldbus networks. Organizations that use fieldbus should consider installing advanced online diagnostic systems to boost maintenance efficiency and reduce operating costs, and maintain the availability of plant resources. Based on the experience gained over a number of years a multilayer model is proposed for future development of diagnostics tools.
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Rough, Justin, and mikewood@deakin edu au. "A Platform for reliable computing on clusters using group communications." Deakin University. School of Computing and Mathematics, 2001. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20060412.141015.

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Shared clusters represent an excellent platform for the execution of parallel applications given their low price/performance ratio and the presence of cluster infrastructure in many organisations. The focus of recent research efforts are on parallelism management, transport and efficient access to resources, and making clusters easy to use. In this thesis, we examine reliable parallel computing on clusters. The aim of this research is to demonstrate the feasibility of developing an operating system facility providing transport fault tolerance using existing, enhanced and newly built operating system services for supporting parallel applications. In particular, we use existing process duplication and process migration services, and synthesise a group communications facility for use in a transparent checkpointing facility. This research is carried out using the methods of experimental computer science. To provide a foundation for the synthesis of the group communications and checkpointing facilities, we survey and review related work in both fields. For group communications, we examine the V Distributed System, the x-kernel and Psync, the ISIS Toolkit, and Horus. We identify a need for services that consider the placement of processes on computers in the cluster. For Checkpointing, we examine Manetho, KeyKOS, libckpt, and Diskless Checkpointing. We observe the use of remote computer memories for storing checkpoints, and the use of copy-on-write mechanisms to reduce the time to create a checkpoint of a process. We propose a group communications facility providing two sets of services: user-oriented services and system-oriented services. User-oriented services provide transparency and target application. System-oriented services supplement the user-oriented services for supporting other operating systems services and do not provide transparency. Additional flexibility is achieved by providing delivery and ordering semantics independently. An operating system facility providing transparent checkpointing is synthesised using coordinated checkpointing. To ensure a consistent set of checkpoints are generated by the facility, instead of blindly blocking the processes of a parallel application, only non-deterministic events are blocked. This allows the processes of the parallel application to continue execution during the checkpoint operation. Checkpoints are created by adapting process duplication mechanisms, and checkpoint data is transferred to remote computer memories and disk for storage using the mechanisms of process migration. The services of the group communications facility are used to coordinate the checkpoint operation, and to transport checkpoint data to remote computer memories and disk. Both the group communications facility and the checkpointing facility have been implemented in the GENESIS cluster operating system and provide proof-of-concept. GENESIS uses a microkernel and client-server based operating system architecture, and is demonstrated to provide an appropriate environment for the development of these facilities. We design a number of experiments to test the performance of both the group communications facility and checkpointing facility, and to provide proof-of-performance. We present our approach to testing, the challenges raised in testing the facilities, and how we overcome them. For group communications, we examine the performance of a number of delivery semantics. Good speed-ups are observed and system-oriented group communication services are shown to provide significant performance advantages over user-oriented semantics in the presence of packet loss. For checkpointing, we examine the scalability of the facility given different levels of resource usage and a variable number of computers. Low overheads are observed for checkpointing a parallel application. It is made clear by this research that the microkernel and client-server based cluster operating system provide an ideal environment for the development of a high performance group communications facility and a transparent checkpointing facility for generating a platform for reliable parallel computing on clusters.
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Wong, Ford Long. "Protocols and technologies for security in pervasive computing and communications." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611992.

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Chan, Ka Chun. "A dual channel location estimation system for mobile computing." HKBU Institutional Repository, 2003. http://repository.hkbu.edu.hk/etd_ra/445.

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Chen, Xuetao. "Resource Allocation for Wireless Distributed Computing Networks." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/77054.

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Wireless distributed computing networks (WDCNs) will become the next frontier of the wireless industry as the performance of wireless platforms is being increased every year and wireless industries are looking for "killer" applications for increased channel capacity. However, WDCNs have several unique problems compared with currently well-investigated methods for wireless sensor networks and wired distributed computing. For example, it is difficult for WDCNs to be power/energy efficient considering the uncertainty and heterogeneity of the wireless environment. In addition, the service model has to take account of the interference-limited feature of wireless channels to reduce the service delay. Our research proposes a two-phase model for WDCNs including the service provision phase and the service access phase according to different traffic patterns and performance requirements. For the service provision phase, we investigate the impact of communication channel conditions on the average execution time of the computing tasks within WDCNs. We then discuses how to increase the robustness and power efficiency for WDCNs subject to the impact of channel variance and spatial heterogeneity. A resource allocation solution for computation oriented WDCNs is then introduced in detail which mitigates the effects of channel variations with a stochastic programming solution. Stochastic geometry and queue theory are combined to analyze the average performance of service response time and to design optimal access strategies during the service access phase. This access model provides a framework to analyze the service access performance and evaluate whether the channel heterogeneity should be considered. Based on this analysis, optimal strategies to access the service nodes can be determined in order to reduce the service response time. In addition, network initialization and synchronization are investigated in order to build a multiple channel WDCN in dynamic spectrum access (DSA) environments. Further, an efficient primary user detection method is proposed to reduce the channel vacation latency for WDCNs in DSA environments. Finally, this dissertation presents the complete design and implementation of a WDCN on COgnitive Radio Network (CORNET). Based on SDR technologies, software dedicated to WDCNs is designed and implemented across the PHY layer, MAC layer, and application layer. System experiments are carried out to demonstrate the performance issues and solutions presented in this dissertation. Wireless distributed computing networks (WDCNs) will become the next frontier of the wireless industry as the performance of wireless platforms is being increased every year and wireless industries are looking for "killer" applications for increased channel capacity. However, WDCNs have several unique problems compared with currently well-investigated methods for wireless sensor networks and wired distributed computing. For example, it is difficult for WDCNs to be power/energy efficient considering the uncertainty and heterogeneity of the wireless environment. In addition, the service model has to take account of the interference-limited feature of wireless channels to reduce the service delay. Our research proposes a two-phase model for WDCNs including the service provision phase and the service access phase according to different traffic patterns and performance requirements. For the service provision phase, we investigate the impact of communication channel conditions on the average execution time of the computing tasks within WDCNs. We then discuses how to increase the robustness and power efficiency for WDCNs subject to the impact of channel variance and spatial heterogeneity. A resource allocation solution for computation oriented WDCNs is then introduced in detail which mitigates the effects of channel variations with a stochastic programming solution. Stochastic geometry and queue theory are combined to analyze the average performance of service response time and to design optimal access strategies during the service access phase. This access model provides a framework to analyze the service access performance and evaluate whether the channel heterogeneity should be considered. Based on this analysis, optimal strategies to access the service nodes can be determined in order to reduce the service response time. In addition, network initialization and synchronization are investigated in order to build a multiple channel WDCN in dynamic spectrum access (DSA) environments. Further, an efficient primary user detection method is proposed to reduce the channel vacation latency for WDCNs in DSA environments. Finally, this dissertation presents the complete design and implementation of a WDCN on COgnitive Radio Network (CORNET). Based on SDR technologies, software dedicated to WDCNs is designed and implemented across the PHY layer, MAC layer, and application layer. System experiments are carried out to demonstrate the performance issues and solutions presented in this dissertation.
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Books on the topic "Fog Communications and Computing"

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Zhang, Ying. Future Computing, Communication, Control and Management: Volume 2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Tomar, Ravi, Avita Katal, Susheela Dahiya, Niharika Singh, and Tanupriya Choudhury. Fog Computing. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003188230.

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Mahmood, Zaigham, ed. Fog Computing. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94890-4.

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Context-aware mobile computing: Affordances of space, social awareness, and social influence. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2009.

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Buyya, Rajkumar, and Satish Narayana Srirama, eds. Fog and Edge Computing. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119525080.

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W, Ryan Hugh, ed. Netcentric computing: Computing, communications, and knowledge. Boca Raton, FL: Auerbach, 1998.

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Tanwar, Sudeep, ed. Fog Computing for Healthcare 4.0 Environments. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-46197-3.

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Wang, Lipo. Soft Computing in Communications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-45090-0.

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Imre, Sándor, and Ferenc Balázs. Quantum Computing and Communications. West Sussex, England: John Wiley & Sons Ltd,., 2004. http://dx.doi.org/10.1002/9780470869048.

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Brooks, Michael, ed. Quantum Computing and Communications. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0839-9.

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Book chapters on the topic "Fog Communications and Computing"

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Varghese, Blesson, Nan Wang, Dimitrios S. Nikolopoulos, and Rajkumar Buyya. "Feasibility of Fog Computing." In Scalable Computing and Communications, 127–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43795-4_5.

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Gao, Longxiang, Tom H. Luan, Bo Liu, Wanlei Zhou, and Shui Yu. "Fog Computing and Its Applications in 5G." In 5G Mobile Communications, 571–93. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34208-5_21.

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Katal, Avita, and Vitesh Sethi. "Communication Protocols in Fog Computing: A Survey and Challenges." In Fog Computing, 153–70. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003188230-11.

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Suri, Bhawna, Shweta Taneja, Hemankur Bhardwaj, Prateek Gupta, and Udit Ahuja. "Peering Through the Fog: An Inter-fog Communication Approach for Computing Environment." In International Conference on Innovative Computing and Communications, 73–81. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2354-6_9.

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Pereira, Eder, Ivânia A. Fischer, Roseclea D. Medina, Emmanuell D. Carreno, and Edson Luiz Padoin. "A Load Balancing Algorithm for Fog Computing Environments." In Communications in Computer and Information Science, 65–77. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41005-6_5.

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Šatkauskas, Nerijus, Algimantas Venčkauskas, Nerijus Morkevičius, and Agnius Liutkevičius. "Orchestration Security Challenges in the Fog Computing." In Communications in Computer and Information Science, 196–207. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59506-7_17.

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Harnal, Shilpi, Gaurav Sharma, and Ravi Dutt Mishra. "QoS-Based Load Balancing in Fog Computing." In Mobile Radio Communications and 5G Networks, 331–44. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7018-3_25.

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Ashrafi, Tasnia H., Md Arshad Hossain, Sayed E. Arefin, Kowshik D. J. Das, and Amitabha Chakrabarty. "IoT Infrastructure: Fog Computing Surpasses Cloud Computing." In Intelligent Communication and Computational Technologies, 43–55. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5523-2_5.

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Arya, Deeksha, and Mayank Dave. "Priority Based Service Broker Policy for Fog Computing Environment." In Communications in Computer and Information Science, 84–93. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5780-9_8.

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Pinciroli, Riccardo, Marco Gribaudo, Manuel Roveri, and Giuseppe Serazzi. "Capacity Planning of Fog Computing Infrastructures for Smart Monitoring." In Communications in Computer and Information Science, 72–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91632-3_6.

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Conference papers on the topic "Fog Communications and Computing"

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Zhang, Guowei, Fei Shen, Yang Yang, Hua Qian, and Wei Yao. "Fair Task Offloading among Fog Nodes in Fog Computing Networks." In 2018 IEEE International Conference on Communications (ICC 2018). IEEE, 2018. http://dx.doi.org/10.1109/icc.2018.8422316.

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Abubaker, Nabil, Leonard Dervishi, and Erman Ayday. "Privacy-preserving fog computing paradigm." In 2017 IEEE Conference on Communications and Network Security (CNS). IEEE, 2017. http://dx.doi.org/10.1109/cns.2017.8228709.

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Hung, Yi-Hsuan, and Chih-Yu Wang. "Fog micro service market: Promoting fog computing using free market mechanism." In 2018 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2018. http://dx.doi.org/10.1109/wcnc.2018.8377074.

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Rabay'a, Ahmad, Eduard Schleicher, and Kalman Graffi. "Fog Computing with P2P: Enhancing Fog Computing Bandwidth for IoT Scenarios." In 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 2019. http://dx.doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00036.

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Coutinho, Antonio, Heitor Rodrigues, Cassio Prazeres, and Fabiola Greve. "Scalable Fogbed for Fog Computing Emulation." In 2018 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2018. http://dx.doi.org/10.1109/iscc.2018.8538484.

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Silva, Cicero Alves da, and Gibeon Soares de Aquino Junior. "Fog Computing in Healthcare: A Review." In 2018 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2018. http://dx.doi.org/10.1109/iscc.2018.8538671.

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Benchikh, Lina, and Lemia Louail. "Task scheduling approaches for fog computing." In 2021 30th Wireless and Optical Communications Conference (WOCC). IEEE, 2021. http://dx.doi.org/10.1109/wocc53213.2021.9603112.

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"Communications and Computing for Fog Based Control Systems." In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN). IEEE, 2019. http://dx.doi.org/10.1109/indin41052.2019.8972309.

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Guevara, Judy C., Luiz F. Bittencourt, and Nelson L. S. da Fonseca. "Class of service in fog computing." In 2017 IEEE 9th Latin-American Conference on Communications (LATINCOM). IEEE, 2017. http://dx.doi.org/10.1109/latincom.2017.8240187.

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Abdujalilov, Javlonbek. "Dynamic control in Fog Computing infrastructure." In 2020 International Conference on Information Science and Communications Technologies (ICISCT). IEEE, 2020. http://dx.doi.org/10.1109/icisct50599.2020.9351449.

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Reports on the topic "Fog Communications and Computing"

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Roy, Sumit. Telecommunication Networks for Mobile & Distributed Communications/Computing. Fort Belvoir, VA: Defense Technical Information Center, December 2001. http://dx.doi.org/10.21236/ada418978.

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Wang, Jianchao, and Yuanyuan Yang. Scalable Multicast Networks for High-Performance Computing and Communications. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada394378.

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Forbes, Jr, and Marlin G. High Performance Computing and Communications Initiative: A Paradigm for National Industrial Policy? Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada262246.

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McKinley, P. K., and L. M. Ni. A scalable communications library for distributed-memory computing environments. Final report, June 15, 1993--June 14, 1997. Office of Scientific and Technical Information (OSTI), January 1998. http://dx.doi.org/10.2172/564287.

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Iorga, Michaela, Larry Feldman, Robert Barton, Michael J. Martin, Ned Goren, and Charif Mahmoudi. Fog computing conceptual model. Gaithersburg, MD: National Institute of Standards and Technology, March 2018. http://dx.doi.org/10.6028/nist.sp.500-325.

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Wada, Yasutaka. Working Paper PUEAA No. 3. Parallel Processing and Parallelizing Compilation Techniques for "Green Computing". Universidad Nacional Autónoma de México, Programa Universitario de Estudios sobre Asia y África, 2022. http://dx.doi.org/10.22201/pueaa.001r.2022.

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Abstract:
The fourth technological revolution has brought great advances in manufacturing processes and human communications. Although processors have become increasingly efficient, both in speed, capacity and energy consumption, their functionality regarding this last point has yet to improve. The latest innovations represent an opportunity to create "green computing" and not only more environmentally friendly electronics and software, but also to use their new efficiency to improve our daily activities, as well as the designs of our cities themselves to make them more environmentally sustainable. These new computerized systems must also be applied in accordance with the socioeconomic factors that must be taken into account in order to be modified in favor of sustainability and efficiency.
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Bhatt. Efficient Communication for Parallel Computing. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada261966.

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Solomon, J. E., A. Barr, K. M. Chandy, W. A. ,. III Goddard, and C. Kesselman. High performance computing and communications grand challenges program. Office of Scientific and Technical Information (OSTI), October 1994. http://dx.doi.org/10.2172/378965.

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Games, Richard A., Arkady Kanevsky, Peter C. Krupp, and Leonard G. Monk. Real-Time Embedded High Performance Computing: Communications Scheduling. Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada302888.

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Kwiat, Paul, Eric Chitambar, Andrew Conrad, and Samantha Isaac. Autonomous Vehicle-Based Quantum Communication Network. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-020.

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Abstract:
Quantum communication was demonstrated using autonomous vehicle-to-vehicle (V2V), as well as autonomous vehicle-to-infrastructure (V2I). Supporting critical subsystems including compact size, weight, and power (SWaP) quantum sources; optical systems; and pointing, acquisition, and tracking (PAT) subsystems were designed, developed, and tested. Novel quantum algorithms were created and analyzed, including quantum position verification (QPV) for mobile autonomous vehicles. The results of this research effort can be leveraged in support of future cross-platform, mobile quantum communication networks that provide improved security, more accurate autonomous sensors, and connected quantum computing nodes for next-generation, smart-infrastructure systems.
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