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๐Ÿ“

Mobile Edge Computing

โœ Scribed by Yan Zhang


Publisher
Springer
Year
2021
Tongue
English
Leaves
127
Series
Simula SpringerBriefs on Computing
Edition
1
Category
Library

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โœฆ Synopsis


This is an open access book.


It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.
The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.
The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.


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Mobile Edge Computing
โœ Yan Zhang ๐Ÿ“‚ Library ๐Ÿ“… 2021 ๐Ÿ› Springer ๐ŸŒ English

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Mobile Edge Computing
โœ Anwesha Mukherjee (editor), Debashis De (editor), Soumya K. Ghosh (editor), Rajk ๐Ÿ“‚ Library ๐Ÿ“… 2021 ๐Ÿ› Springer ๐ŸŒ English

<div>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

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โœ Ying Chen, Ning Zhang, Yuan Wu, Sherman Shen ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Springer ๐ŸŒ English

<span>This book provides a comprehensive review and in-depth discussion of the state-of-the-art research literature and propose energy-efficient computation offloading and resources management for mobile edge computing (MEC), covering task offloading, channel allocation, frequency scaling and resour