言語:
日文
English
繁體中文
ヘルプ
南開科技大學
圖書館首頁
編目中圖書申請
ログイン
ホームページ
スイッチ:
ラベル
|
MARC形式
|
国際標準書誌記述(ISBD)
Controlling Energy Demand in Mobile ...
~
Ellis, Carla Schlatter.
Controlling Energy Demand in Mobile Computing Systems
レコード種別:
コンピュータ・メディア : 単行資料
タイトル / 著者:
Controlling Energy Demand in Mobile Computing Systems/ by Carla Schlatter Ellis.
著者:
Ellis, Carla Schlatter.
記述:
VIII, 89 p.online resource.
含まれています:
Springer Nature eBook
主題:
Mathematics. -
電子資源:
Fulltext (查閱電子書全文)
国際標準図書番号 (ISBN):
9783031024757
Controlling Energy Demand in Mobile Computing Systems
Ellis, Carla Schlatter.
Controlling Energy Demand in Mobile Computing Systems
[electronic resource] /by Carla Schlatter Ellis. - 1st ed. 2007. - VIII, 89 p.online resource. - Synthesis Lectures on Mobile & Pervasive Computing,1933-902X. - Synthesis Lectures on Mobile & Pervasive Computing,.
Introduction -- System Energy Models and Metrics -- Management of Device Power States -- Dynamic Voltage Scheduling (DVS) -- Multiple Devices-Interactions and Tradeoffs -- Energy-Aware Application Code -- Challenges and Opportunities.
This lecture provides an introduction to the problem of managing the energy demand of mobile devices. Reducing energy consumption, primarily with the goal of extending the lifetime of battery-powered devices, has emerged as a fundamental challenge in mobile computing and wireless communication. The focus of this lecture is on a systems approach where software techniques exploit state-of-the-art architectural features rather than relying only upon advances in lower-power circuitry or the slow improvements in battery technology to solve the problem. Fortunately, there are many opportunities to innovate on managing energy demand at the higher levels of a mobile system. Increasingly, device components offer low power modes that enable software to directly affect the energy consumption of the system. The challenge is to design resource management policies to effectively use these capabilities. The lecture begins by providing the necessary foundations, including basic energy terminology and widely accepted metrics, system models of how power is consumed by a device, and measurement methods and tools available for experimental evaluation. For components that offer low power modes, management policies are considered that address the questions of when to power down to a lower power state and when to power back up to a higher power state. These policies rely on detecting periods when the device is idle as well as techniques for modifying the access patterns of a workload to increase opportunities for power state transitions. For processors with frequency and voltage scaling capabilities, dynamic scheduling policies are developed that determine points during execution when those settings can be changed without harming quality of service constraints. The interactions and tradeoffs among the power management policies of multiple devices are discussed. We explore how the effective power management on one component of a system may have either a positive or negative impact on overall energy consumption or on the design of policies for another component. The important role that application-level involvement may play in energy management is described, with several examples of cross-layer cooperation. Application program interfaces (APIs) that provide information flow across the application-OS boundary are valuable tools in encouraging development of energy-aware applications. Finally, we summarize the key lessons of this lecture and discuss future directions in managing energy demand.
ISBN: 9783031024757
Standard No.: 10.1007/978-3-031-02475-7doiSubjects--Topical Terms:
146772
Mathematics.
LC Class. No.: QA1-939
Dewey Class. No.: 510
Controlling Energy Demand in Mobile Computing Systems
LDR
:04057nmm a22003735i 4500
001
1000127439
003
DE-He213
005
20220601145752.0
007
cr nn 008mamaa
008
220601s2007 sz | s |||| 0|eng d
020
$a
9783031024757
$9
978-3-031-02475-7
024
7
$a
10.1007/978-3-031-02475-7
$2
doi
035
$a
978-3-031-02475-7
050
4
$a
QA1-939
072
7
$a
PB
$2
bicssc
072
7
$a
MAT000000
$2
bisacsh
072
7
$a
PB
$2
thema
082
0 4
$a
510
$2
23
100
1
$a
Ellis, Carla Schlatter.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1000149500
245
1 0
$a
Controlling Energy Demand in Mobile Computing Systems
$h
[electronic resource] /
$c
by Carla Schlatter Ellis.
250
$a
1st ed. 2007.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2007.
300
$a
VIII, 89 p.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Synthesis Lectures on Mobile & Pervasive Computing,
$x
1933-902X
505
0
$a
Introduction -- System Energy Models and Metrics -- Management of Device Power States -- Dynamic Voltage Scheduling (DVS) -- Multiple Devices-Interactions and Tradeoffs -- Energy-Aware Application Code -- Challenges and Opportunities.
520
$a
This lecture provides an introduction to the problem of managing the energy demand of mobile devices. Reducing energy consumption, primarily with the goal of extending the lifetime of battery-powered devices, has emerged as a fundamental challenge in mobile computing and wireless communication. The focus of this lecture is on a systems approach where software techniques exploit state-of-the-art architectural features rather than relying only upon advances in lower-power circuitry or the slow improvements in battery technology to solve the problem. Fortunately, there are many opportunities to innovate on managing energy demand at the higher levels of a mobile system. Increasingly, device components offer low power modes that enable software to directly affect the energy consumption of the system. The challenge is to design resource management policies to effectively use these capabilities. The lecture begins by providing the necessary foundations, including basic energy terminology and widely accepted metrics, system models of how power is consumed by a device, and measurement methods and tools available for experimental evaluation. For components that offer low power modes, management policies are considered that address the questions of when to power down to a lower power state and when to power back up to a higher power state. These policies rely on detecting periods when the device is idle as well as techniques for modifying the access patterns of a workload to increase opportunities for power state transitions. For processors with frequency and voltage scaling capabilities, dynamic scheduling policies are developed that determine points during execution when those settings can be changed without harming quality of service constraints. The interactions and tradeoffs among the power management policies of multiple devices are discussed. We explore how the effective power management on one component of a system may have either a positive or negative impact on overall energy consumption or on the design of policies for another component. The important role that application-level involvement may play in energy management is described, with several examples of cross-layer cooperation. Application program interfaces (APIs) that provide information flow across the application-OS boundary are valuable tools in encouraging development of energy-aware applications. Finally, we summarize the key lessons of this lecture and discuss future directions in managing energy demand.
650
0
$a
Mathematics.
$3
146772
650
0
$a
Engineering.
$3
162510
650
0
$a
Mobile computing.
$3
147382
650
0
$a
Cooperating objects (Computer systems).
$3
1000149502
650
0
$a
User interfaces (Computer systems).
$3
1000149503
650
0
$a
Human-computer interaction.
$3
147774
650
2 4
$a
Technology and Engineering.
$3
1000149430
650
2 4
$a
Mobile Computing.
$3
1000149504
650
2 4
$a
Cyber-Physical Systems.
$3
1000149505
650
2 4
$a
User Interfaces and Human Computer Interaction.
$3
1000063917
710
2
$a
SpringerLink (Online service)
$3
1000143549
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783031013478
776
0 8
$i
Printed edition:
$z
9783031036033
830
0
$a
Synthesis Lectures on Mobile & Pervasive Computing,
$x
1933-902X
$3
1000149501
856
4 0
$u
https://doi.org/10.1007/978-3-031-02475-7
$z
Fulltext (查閱電子書全文)
912
$a
ZDB-2-SXSC
950
$a
Synthesis Collection of Technology (R0) (SpringerNature-85007)
館藏地:
全部
線上資料庫 (Online Resource)
出版年:
卷號:
館藏
此限制條件找不到符合的館藏,請您更換限制條件。
建立或儲存個人書籤
書目轉出
取書館別
處理中
...
變更密碼
登入