Mobile Edge Computing (häftad)
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Häftad (Paperback / softback)
Antal sidor
1st ed. 2021
Springer Nature Switzerland AG
Mukherjee, Anwesha (ed.), Buyya, Rajkumar (ed.), Ghosh, Soumya K. (ed.), De, Debashis (ed.)
151 Illustrations, color; 26 Illustrations, black and white; XI, 605 p. 177 illus., 151 illus. in co
234 x 156 x 32 mm
858 g
Antal komponenter
1 Paperback / softback

Mobile Edge Computing

Häftad,  Engelska, 2022-11-20
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Mobile Edge Computing (MEC) provides cloud-like subscription-oriented services at the edge of mobile network. For low latency and high bandwidth services, edge computing assisted IoT (Internet of Things) has become the pillar for the development of smart environments and their applications such as smart home, smart health, smart traffic management, smart agriculture, and smart city. This book covers the fundamental concept of the MEC and its real-time applications. The book content is organized into three parts: Part A covers the architecture and working model of MEC, Part B focuses on the systems, platforms, services and issues of MEC, and Part C emphases on various applications of MEC. This book is targeted for graduate students, researchers, developers, and service providers interested in learning about the state-of-the-art in MEC technologies, innovative applications, and future research directions.
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Övrig information

Anwesha Mukherjee has received B. Tech in Information Technology from Kalyani Govt. Engineering College in 2009. She has received M. Tech in Information Technology from West Bengal University of Technology in 2011. She stood first class first in M. Tech and received Inspire Fellowship from the Department of Science & Technology, Govt. of India to pursue her Ph.D. She has received Ph.D. in Computer Science and Engineering from West Bengal University of Technology in 2018. She has worked as a Research Associate in the computer science department of IIT Kharagpur. She is currently working as an Assistant Professor and Head of the Department of Computer Science, Mahishadal Raj College, West Bengal, India. Her research areas include IoT, Fog computing, mobile network, Geospatial informatics and mobile cloud computing. She has received the Young Scientist Award from the International Union of Radio Science in 2014 at Beijing, China. She has published thirty six peer-reviewed articles in International journals including IEEE, IET, Elsevier, Springer, Wiley and ASP, ten International conference papers, and two book chapters. Debashis De is Professor Department of Computer Science and Engineering and Director of School of Computational Science of the West Bengal University of Technology, India, and Adjunct research fellow at the University of Western Australia, Australia. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Herriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from 20082009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist award both in 2005 at New Delhi and in 2011 at Istanbul, Turkey, from the International Union of Radio Science, Belgium. In 2016 he received JC bose research award by IETE, New Delhi. In 2019 he received Siksha Ranta Award by the Govt. of West Bengal. His research interests include mobile edge computing and IoT. He published in more than 300 peer-reviewed journals and 100 conference papers. He published eight research monographs in CRC, Springer, NOVA, Elsevier and five textbooks in Pearson. Soumya K. Ghosh received the M.Tech. and Ph.D. degrees from the Department of Computer Science and Engineering, IIT Kharagpur, India, in 1996 and 2002, respectively. He was with the Indian Space Research Organization, Bengaluru, India. He is currently a Professor with the Department of Computer Science and Engineering, IIT Kharagpur. He is also head of the Institute information cell of IIT Kharagpur. He has published more than 200 research papers in reputed journals including IEEE, ACM, Elsevier, and conference proceedings. His current research interests include spatial data science, spatial web services, and cloud computing. He is a senior member of IEEE. Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He served as a Future Fellow of the Australian Research Council during 2012-2016. He has authored over 625 publications and seven text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. He also edited several books including "Cloud Computing: Principles and Paradigms" (Wiley Press, USA, Feb 2011). He is one of the highly cited authors in computer science and software engineering worldwide (h-index=139, g-index=307, 106,000+ citations). "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud C


Introduction to Mobile Edge Computing.- Comparative Performance Analysis of Mobile, Edge, and Cloud Computing Platforms for Distributed Applications.- Geospatial Edge Computing: A Systematic Review and Future Directions.- Power Efficient 5G Mobile Edge Computing.- Sensor Mobile Edge Computing.- IoT integration with MEC.- Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions.- GPU-accelerated Edge Computing for Predictive Maintenance.- Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions.- Mobility driven Cloud-Fog-Edge Framework for Location-aware Services: A Comprehensive Review.- Mobility-Based Resource Allocation and Provisioning in Fog and Edge Computing Paradigms: Review, Challenges and Future directions.- Service Continuity in 5G-Enabled Mobile Edge Cloud.- Security in Critical Communication for Mobile Edge Computing based IoE Applications.- Blockchain and MEC: Consensus Protocols and Scalability.- Evaluation of Collaborative Intrusion Detection System (CIDS) Architectures in Mobile Edge Computing (MEC).- A Conceptual Framework for Smart Health Care Applications using Z-Wave and Home based WSN for MEC.- Mobile Edge Computing based Internet of Agricultural Things.- Deep learning in Computer Vision through Mobile Edge Computing for IoT.- Mobility Support in Multi-layered Mobile Edge Computing for Smart Cities.- Complex Event Processing in Sensor-Based Environments: Edge Computing Frameworks and Techniques.- Application Design and Service Provisioning for Multi-Access Edge Cloud (MEC).- Simulating Fog Computing Applications using iFogSim Toolkit.