GreenEdge : new perspectives to energy management and supply in mobile edge computing : the first book on green edge computing / Guoming Tang, Deke Guo, Kui Wu.
Tang, Guoming, author.; Guo, Deke, author.; Wu, Kui, author.
2022
QA76.59
Available Online

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Title GreenEdge : new perspectives to energy management and supply in mobile edge computing : the first book on green edge computing / Guoming Tang, Deke Guo, Kui Wu.
Author Tang, Guoming, author.
ISBN 9789811696909 (electronic bk.)
981169690X (electronic bk.)
9789811696893
9811696896
DOI https://doi.org/10.1007/978-981-16-9690-9
Published Singapore : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (x, 114 pages) : illustrations (colour)
Item Number 10.1007/978-981-16-9690-9 doi
Call Number QA76.59
Dewey Decimal Classification 004.167
Summary The 5G technology has been commercialized worldwide and is expected to provide superior performance with enhanced mobile broadband, ultra-low latency transmission, and massive IoT connections. Meanwhile, the edge computing paradigm gets popular to provide distributed computing and storage resources in proximity to the users. As edge services and applications prosper, 5G and edge computing will be tightly coupled and continuously promote each other forward. Embracing this trend, however, mobile users, infrastructure providers, and service providers are all faced with the energy dilemma. On the user side, battery-powered mobile devices are much constrained by battery life, whereas mobile platforms and apps nowadays are usually power-hungry. At the infrastructure and service provider side, the energy cost of edge facilities accounts for a large proportion of operating expenses and has become a huge burden. This book provides a collection of most recent attempts to tackle the energy issues in mobile edge computing from new and promising perspectives. For example, the book investigates the pervasive low-battery anxiety among modern mobile users and quantifies the anxiety degree and likely behavior concerning the battery status. Based on the quantified model, a low-power video streaming solution is developed accordingly to save mobile devices' energy and alleviate users' low-battery anxiety. In addition to energy management for mobile users, the book also looks into potential opportunities to energy cost saving and carbon emission reduction at edge facilities, particularly the 5G base stations and geo-distributed edge datacenters.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 27, 2022).
Added Author Guo, Deke, author.
Wu, Kui, author.
Series SpringerBriefs in computer science.
Available in Other Form Print version: 9789811696893
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
1 Introduction
2 Investigating Low-Battery Anxiety of Mobile Users
3 User Energy and LBA Aware Mobile Video Streaming
4 Optimal Backup Power Allocation for 5G Base Stations
5 Reusing Backup Batteries for Power Demand Reshaping in 5G
6 Software-Defined Power Supply to Geo-Distributed Edge DCs
7 Conclusions and Future Work.

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