Predictive Analytics in Cloud, Fog, and Edge Computing: Perspectives and Practices of Blockchain, Iot, and 5g

This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing. The relationship will not be limited to only architecture proposal, trends, and technical advancements. However, the book also explores the possibility of predictive analytics in cloud computing with respect to Blockchain, IoT, and 5G. The recent advancements in the internet-supported distributed computing i.e. cloud computing, has made it possible to process the bulk amount of data in a parallel and distributed. This has made it a lucrative technology to process the data generated from technologies such as Blockchain, IoT, and 5G. However, there are several issues a Cloud Service Provider (CSP) encounters, such as Blockchain security in cloud, IoT elasticity and scalability management in cloud, Service Level Agreement (SLA) compliances for 5G, Resource management, Load balancing, and Fault-tolerance. This edited book will discuss the aforementioned issues in connection with Blockchain, IoT, and 5G.

Moreover, the book discusses how the cloud computing is not sufficient and one needs to use fog computing, and edge computing to efficiently process the data generated from IoT, and 5G. Moreover, the book shows how smart city, smart healthcare system, and smart communities are few of the most relevant IoT applications where fog computing plays a significant role. The book discusses the limitation of fog computing and the need for the edge computing to further reduce the network latency to process streaming data from IoT devices.

The book also explores power of predictive analytics of Blockchain, IoT, and 5G data in cloud computing with its sister technologies. Since, the amount of resources increases day-by day, artificial intelligence (AI) tools are becoming more popular due to their capability which can be used in solving wide variety of issues, such as minimize the energy consumption of physical servers, optimize the service cost, improve the quality of experience, increase the service availability, efficiently handle the huge data flow, manages the large number of IoT devices, etc.

本書探討了最新技術（如區塊鏈、物聯網和5G）與雲計算、雾計算和移動邊緣計算之間的關係。這種關係不僅僅局限於架構提案、趨勢和技術進步，還探討了在雲計算中利用區塊鏈、物聯網和5G進行預測分析的可能性。互聯網支持的分散計算（即雲計算）的最新進展使得能夠並行和分散地處理大量數據，這使得它成為處理來自區塊鏈、物聯網和5G等技術生成的數據的有利技術。然而，雲服務提供商（CSP）遇到了幾個問題，例如雲中的區塊鏈安全性、雲中的物聯網彈性和可擴展性管理、5G的服務水平協議（SLA）合規性、資源管理、負載平衡和容錯能力。本書將討論上述問題與區塊鏈、物聯網和5G的關聯。

此外，本書還討論了雲計算的不足之處，並指出需要使用雾計算和邊緣計算來有效處理物聯網和5G生成的數據。此外，本書還展示了智慧城市、智慧醫療系統和智慧社區等最相關的物聯網應用領域中，雾計算發揮了重要作用。本書還討論了雾計算的限制以及需要邊緣計算來進一步降低處理來自物聯網設備的流式數據的網絡延遲。

本書還探討了在雲計算中利用區塊鏈、物聯網和5G數據的預測分析能力及其相關技術的優勢。由於資源量日益增加，人工智能（AI）工具因其能夠解決各種問題而變得越來越受歡迎，例如最小化物理服務器的能源消耗、優化服務成本、提高體驗質量、增加服務可用性、有效處理大量數據流、管理大量物聯網設備等。

Dr. Hiren Kumar Thakkar has received his M.Tech in Computer Science and Engineering from IIIT Bhubaneswar, India in 2012 and a Ph.D. in Computer Science and Information Engineering from Chang Gung University, Taiwan in 2018. Later, he worked as a postdoctoral researcher in the Department of Occupation Therapy, Motor Behavioral Research Lab (MBRL), Chang Gung University, Taiwan. Currently, he is working as an Assistant Professor in the Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gujarat, India. His research interests include optimization, machine learning, and reinforcement learning. He has published several research papers in peer-reviewed journals such IEEE Transactions in Parallel and Distributed Systems, IEEE Sensors Journal, IEEE Journal on Selected Areas in Communications, Information Processing and Management, Elsevier. He is a member of IEEE.Dr. Chinmaya Kumar Dehury received a Bachelor's degree from Sambalpur University, India, in June 2009 and a Master's degree from Biju Pattnaik University of Technology, India, in June 2013. He received a Ph.D. Degree in the Department of Computer Science and Information Engineering, Chang Gung University, Taiwan. He is currently a Lecturer of Distributed System, member of Mobile & Cloud Lab in the Institute of Computer Science, University of Tartu, Estonia. His research interests include scheduling, resource management and fault tolerance problems of Cloud and fog Computing, the application of artificial intelligence in cloud management, edge intelligence, Internet of Things, and data management frameworks. His research results are published by top-tier journals and transactions such as IEEE TCC, JSAC, TPDS, FGCS, etc. He is a member of IEEE and ACM India. He is also serving as a PC member of several conferences and reviewer to several journals and conferences, such as IEEE TPDS, IEEE JSAC, IEEE TCC, IEEE TNNLS, Wiley Software: Practice and Experience, etc.Dr. Prasan Kumar Sahoo (Senior Member, IEEE) received the BSc degree in physics (with honors), the MSc degree in mathematics both from Utkal University, Bhubaneswar, India, in 1987 and 1994, respectively, the MTech degree in computer science from the Indian Institute of Technology (IIT), Kharagpur, India, in 2000, the first PhD degree in mathematics from Utkal University, Bhubaneswar, India, in 2002, and the second PhD degree in computer science and information engineering from the National Central University, Taiwan, in 2009. He is currently a professor with the Department of Computer Science and Information Engineering, Chang Gung University, Taiwan. He is an adjunct researcher in the Division of Colon and Rectal Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan since 2018. He has worked as an associate professor with the Department of Information Management, Vanung University, Taiwan, from 2007 to 2011. He was a visiting associate professor with the Department of Computer Science, Universite Claude Bernard Lyon 1, Villeurbanne, France. His current research interests include artificial intelligence, big data analytic, cloud computing, and IoT. He is the lead guest editor, special issue of Electronics journal and an editorial board member for the International Journal of Vehicle Information and Communication Systems. He has worked as the program committee member of several IEEE and ACM conferences.Dr. Bharadwaj Veeravalli (Senior Member, IEEE) received the BSc degree in physics from Madurai-Kamaraj University, India, in 1987, the master's degree in electrical communication engineering from the Indian Institute of Science, Bangalore, India, in 1991, and the PhD degree from the Department of Aerospace Engineering, Indian Institute of Science, in 1994. He is currently a tenured associate professor with the Department of Electrical and Computer Engineering, Communications and Information Engineering (CIE) Division, National University of Singapore, Singapore. His main research interests include cloud/grid/cluster computing, which include big data processing, analytics, and resource allocation, scheduling in parallel and distributed systems, cybersecurity, and multimedia computing. He is one of the earliest researchers in the field of divisible load theory. He is currently on the editorial board of the IEEE Transactions on Parallel and Distributed Systems as an associate editor. He is a senior member of the IEEE and the IEEE-CS. He was the recipient of Gold Medals for his bachelor's degree overall performance and outstanding PhD thesis (IISc, Bangalore, India), in 1987 and 1994, respectively.

Dr. Hiren Kumar Thakkar於2012年在印度IIIT Bhubaneswar獲得計算機科學和工程的碩士學位，並於2018年在台灣長庚大學獲得計算機科學和信息工程的博士學位。之後，他在台灣長庚大學職業治療系的運動行為研究實驗室（MBRL）擔任博士後研究員。目前，他在印度古吉拉特邦的Pandit Deendayal Energy University的計算機科學和工程系擔任助理教授。他的研究興趣包括優化、機器學習和強化學習。他在IEEE Transactions in Parallel and Distributed Systems、IEEE Sensors Journal、IEEE Journal on Selected Areas in Communications、Information Processing and Management等同行評審期刊上發表了多篇研究論文。他是IEEE的成員。

Dr. Chinmaya Kumar Dehury於2009年在印度Sambalpur大學獲得學士學位，並於2013年在印度Biju Pattnaik科技大學獲得碩士學位。他在台灣長庚大學的計算機科學和信息工程系獲得博士學位。他目前是愛沙尼亞塔爾圖大學計算機科學研究所分佈式系統的講師，並是移動和雲實驗室的成員。他的研究興趣包括雲和雾計算的調度、資源管理和容錯問題，人工智能在雲管理、邊緣智能、物聯網和數據管理框架中的應用。他的研究成果發表在IEEE TCC、JSAC、TPDS、FGCS等頂級期刊和交易中。他是IEEE和ACM India的成員，也是多個會議的程序委員會成員和多個期刊和會議的審稿人。

Dr. Prasan Kumar Sahoo（IEEE高級會員）於1987年和1994年分別在印度Utkal大學獲得物理學（榮譽）學士學位和數學碩士學位，於2000年在印度印度理工學院（IIT）哈拉格普爾分校獲得計算機科學碩士學位，於2002年在印度Utkal大學獲得數學博士學位，並於2009年在台灣國立中央大學獲得計算機科學和信息工程博士學位。他目前是台灣長庚大學計算機科學和信息工程系的教授，自2018年起還是長庚紀念醫院結腸直腸外科的兼職研究員。他曾在2007年至2011年間擔任台灣萬能大學信息管理系的副教授，並曾在法國里昂第一大學計算機科學系擔任訪問副教授。他目前的研究興趣包括人工智能、大數據分析、雲計算和物聯網。他是Electronics期刊的主編，也是International Journal of Vehicle Information and Communication Systems的編委會成員。他曾擔任多個IEEE和ACM會議的程序委員會成員。

Dr. Bharadwaj Veeravalli（IEEE高級會員）於1987年在印度Madurai-Kamaraj大學獲得物理學學士學位，於1991年在印度印度科學研究所獲得電信工程碩士學位，並於1994年在印度印度科學研究所航空航天工程系獲得博士學位。他目前是新加坡國立大學電機與電腦工程系通信和信息工程（CIE）組的終身副教授。