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2022 | Book

GreenEdge: New Perspectives to Energy Management and Supply in Mobile Edge Computing

Authors: Prof. Guoming Tang, Prof. Deke Guo, Prof. Kui Wu

Publisher: Springer Nature Singapore

Book Series : SpringerBriefs in Computer Science

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About this book

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.

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
The twenty-first century has witnessed tremendous progress in computing and communication. On the one hand, with the development of wireless communications, the fifth-generation mobile network (5G network) has been commercialized since 2019. Compared with 4G/LTE, 5G shows superior performance with enhanced mobile broadband, ultra-low latency transmission, and massive Internet of Things (IoT) connections. On the other hand, as an important complement to cloud computing, the edge computing paradigm emerges and aims to provide distributed computing resources in the form of edge servers for services at the network edge. Having tasks performed closer to the users, edge computing leads to a shorter delay and higher quality of service (QoS) and quality of experience (QoE).
Guoming Tang, Deke Guo, Kui Wu
Chapter 2. Investigating Low-Battery Anxiety of Mobile Users
Abstract
“Have you ever ordered something at a bar just so you can ask to plug in your phone? Do you argue with loved ones because your phone died and you missed their calls or texts? Are you regularly accused of secretly ‘borrowing’ someone else’s charger? If so, you may be suffering from ‘Low-Battery Anxiety’ ”, according to a survey conducted by LG. The survey also reported a shocking result—nine out of ten mobile users have the so-called low-battery anxiety (LBA), which refers to one’s fear of losing mobile phone battery power especially when it is already at a low level (20% for example). The fear of losing battery power further triggers the “no-mobile-phone phobia” (nomophobia), which is commonly considered as one social phobia and could lead to mental health problems. Considering the ever increasing number of smartphone users worldwide, the impact of accompanying LBA could be profound.
Guoming Tang, Deke Guo, Kui Wu
Chapter 3. User Energy and LBA Aware Mobile Video Streaming
Abstract
Evidence has shown that low-battery can make wide impacts on the behavior of mobile users. According to our survey, over 20% of the mobile audiences will drop video watching when the battery life remains 20% and the dropping rate quickly rises to 50% when only 10% battery energy is left. This suggests that, saving mobile phone energy and prolonging its working time can not only release the suffering of LBA but also help customer retention in mobile video streaming services. For this purpose, we need to quantitatively investigate LBA and treat it as an important quality of experience (QoE) metric.
Guoming Tang, Deke Guo, Kui Wu
Chapter 4. Optimal Backup Power Allocation for 5G Base Stations
Abstract
In the foreseeable future, 5G networks will be deployed rapidly around the world, in cope with the ever-increasing bandwidth demand in mobile network, emerging low-latency mobile services and potential billions of connections to IoT devices at the network edge [60]. As the first step shifting to the 5G era, the 5G base station (BS) needs to be built. With shorter signal range compared to that of 4G, the deployment of 5G network is expected to be highly dense. It is estimated that, by 2026 and in China only, over 14 million new and upgraded 5G BSs will be built, with 4.8 million macro BSs and another 9.5 million small ones [3].
Guoming Tang, Deke Guo, Kui Wu
Chapter 5. Reusing Backup Batteries for Power Demand Reshaping in 5G
Abstract
To cope with the ever-increasing demands of mobile broadband, low-latency communications and IoT connections in the future wireless network, the worldwide mobile network operators are upgrading their network facilities and marching towards the 5G network at an unprecedented pace. Compared with the older generation networks like 4G/LTE, the signal range of a 5G base station (BS) is much shorter, resulting in the ultra-dense BS deployment (also know as network densification [71]), especially for fully signal coverage in the urban or “hotspot” areas. According to [3], by 2026 and in China only, over 14 million 5G BSs will be built.
Guoming Tang, Deke Guo, Kui Wu
Chapter 6. Software-Defined Power Supply to Geo-Distributed Edge DCs
Abstract
With ever-increasing demands for computation, communication, and storage, the worldwide data centers (DCs) are scaling out and scaling up rapidly. Such a continuous expansion of DCs incurs enormous energy consumption and has drawn much attention in recent years. Since 2010, the energy consumption of global DCs grew at a compound annual growth rate (CAGR) of 4.4%; up to 2018, the energy consumption of DCs around the world reached 205 terawatt-hours, accounting for about 1% of global electricity consumption [91]. Among all the energy consumption, a considerable proportion comes from “brown energy” (i.e., the energy produced by fossil fuel), bringing enormous carbon footprints and significant environmental concerns.
Guoming Tang, Deke Guo, Kui Wu
Chapter 7. Conclusions and Future Work
Abstract
We looked into the energy dilemma faced by the mobile users, infrastructure/service providers in mobile edge computing. From some new perspectives, we provided the corresponding energy management and supply solutions in this book.
Guoming Tang, Deke Guo, Kui Wu
Backmatter
Metadata
Title
GreenEdge: New Perspectives to Energy Management and Supply in Mobile Edge Computing
Authors
Prof. Guoming Tang
Prof. Deke Guo
Prof. Kui Wu
Copyright Year
2022
Publisher
Springer Nature Singapore
Electronic ISBN
978-981-16-9690-9
Print ISBN
978-981-16-9689-3
DOI
https://doi.org/10.1007/978-981-16-9690-9

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