東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

GreenEdge = new perspectives to ener...

Tang, Guoming.

FindBook

Google Book

Amazon

博客來

GreenEdge = new perspectives to energy management and supply in mobile edge computing : the first book on green edge computing /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	GreenEdge/ by Guoming Tang, Deke Guo, Kui Wu.
其他題名:	new perspectives to energy management and supply in mobile edge computing : the first book on green edge computing /
作者:	Tang, Guoming.
其他作者:	Guo, Deke.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	x, 114 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Mobile computing. -
電子資源:	https://doi.org/10.1007/978-981-16-9690-9
ISBN:	9789811696909

GreenEdge = new perspectives to energy management and supply in mobile edge computing : the first book on green edge computing /
Tang, Guoming.

GreenEdgenew perspectives to energy management and supply in mobile edge computing : the first book on green edge computing /[electronic resource] :by Guoming Tang, Deke Guo, Kui Wu. - Singapore :Springer Nature Singapore :2022. - x, 114 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

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.

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.

ISBN: 9789811696909

Standard No.: 10.1007/978-981-16-9690-9doiSubjects--Topical Terms:

576294
Mobile computing.

LC Class. No.: QA76.59

Dewey Class. No.: 004.167

GreenEdge = new perspectives to energy management and supply in mobile edge computing : the first book on green edge computing /
LDR:03109nmm a2200337 a 4500 001 2299921
003 DE-He213
005 20220517105342.0
006 m d
007 cr nn 008maaau
008 230324s2022 si s 0 eng d
020 $a 9789811696909 $q (electronic bk.)
020 $a 9789811696893 $q (paper)
024 7 $a 10.1007/978-981-16-9690-9 $2 doi
035 $a 978-981-16-9690-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.59
072 7 $a UK $2 bicssc
072 7 $a COM043000 $2 bisacsh
072 7 $a UK $2 thema
082 0 4 $a 004.167 $2 23
090 $a QA76.59 $b .T164 2022
100 1 $a Tang, Guoming. $3 3597831
245 1 0 $a GreenEdge $h [electronic resource] : $b new perspectives to energy management and supply in mobile edge computing : the first book on green edge computing / $c by Guoming Tang, Deke Guo, Kui Wu.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a x, 114 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5776
505 0 $a 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.
520 $a 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.
650 0 $a Mobile computing. $3 576294
650 0 $a Edge computing. $3 3489844
650 0 $a Mobile communication systems $x Energy conservation. $3 2142127
650 1 4 $a Computer Engineering and Networks. $3 3538504
650 2 4 $a Theory and Algorithms for Application Domains. $3 3594704
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 3538516
650 2 4 $a Computer and Information Systems Applications. $3 3538505
700 1 $a Guo, Deke. $3 3594596
700 1 $a Wu, Kui. $3 1244904
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computer science. $3 1567571
856 4 0 $u https://doi.org/10.1007/978-981-16-9690-9
950 $a Computer Science (SpringerNature-11645)