Run-time Energy Management for Mobiles

L.T. Smit; Gerardus Johannes Maria Smit; Paul J.M. Havinga

Run-time Energy Management for Mobiles

L.T. Smit, Gerardus Johannes Maria Smit, Paul J.M. Havinga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Due to limited energy resources, mobile computing requires an energy-efficient a rchitecture. The dynamic nature of a mobile environment demands an architecture that allows adapting to (quickly) changing conditions. The mobile has to adapt d ynamically to new circumstances in the best suitable manner. The hardware and so ftware architecture should be able to support such adaptability and minimize the energy consumption by making resource allocation decisions at run-time. To make these decisions effective, a tradeoff has to be made between computation , communication and initialization costs (both time and energy). This paper describes our approach to construct a model that supports taking such decisions.

Original language	Undefined
Title of host publication	1st PROGRESS workshop on Embedded Systems
Place of Publication	Utrecht
Publisher	STW
Pages	107-112
Number of pages	6
ISBN (Print)	90-73461-25-1
Publication status	Published - Oct 2000
Event	1st PROGRESS Workshop on Embedded Systems 2000 - Utrecht, Netherlands Duration: 13 Oct 2000 → 13 Oct 2000 Conference number: 1

Publication series

Name
Publisher	STW Technology Foundation

Workshop

Workshop	1st PROGRESS Workshop on Embedded Systems 2000
Abbreviated title	PROGRESS
Country	Netherlands
City	Utrecht
Period	13/10/00 → 13/10/00

Keywords

EWI-1533
CAES-PS: Pervasive Systems
IR-18887
CAES-EEA: Efficient Embedded Architectures
METIS-119409

Access to Document

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Cite this

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title = "Run-time Energy Management for Mobiles",

abstract = "Due to limited energy resources, mobile computing requires an energy-efficient a rchitecture. The dynamic nature of a mobile environment demands an architecture that allows adapting to (quickly) changing conditions. The mobile has to adapt d ynamically to new circumstances in the best suitable manner. The hardware and so ftware architecture should be able to support such adaptability and minimize the energy consumption by making resource allocation decisions at run-time. To make these decisions effective, a tradeoff has to be made between computation , communication and initialization costs (both time and energy). This paper describes our approach to construct a model that supports taking such decisions.",

keywords = "EWI-1533, CAES-PS: Pervasive Systems, IR-18887, CAES-EEA: Efficient Embedded Architectures, METIS-119409",

author = "L.T. Smit and Smit, {Gerardus Johannes Maria} and Havinga, {Paul J.M.}",

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year = "2000",

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publisher = "STW",

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T1 - Run-time Energy Management for Mobiles

AU - Smit, L.T.

AU - Smit, Gerardus Johannes Maria

AU - Havinga, Paul J.M.

N1 - Conference code: 1

PY - 2000/10

Y1 - 2000/10

N2 - Due to limited energy resources, mobile computing requires an energy-efficient a rchitecture. The dynamic nature of a mobile environment demands an architecture that allows adapting to (quickly) changing conditions. The mobile has to adapt d ynamically to new circumstances in the best suitable manner. The hardware and so ftware architecture should be able to support such adaptability and minimize the energy consumption by making resource allocation decisions at run-time. To make these decisions effective, a tradeoff has to be made between computation , communication and initialization costs (both time and energy). This paper describes our approach to construct a model that supports taking such decisions.

AB - Due to limited energy resources, mobile computing requires an energy-efficient a rchitecture. The dynamic nature of a mobile environment demands an architecture that allows adapting to (quickly) changing conditions. The mobile has to adapt d ynamically to new circumstances in the best suitable manner. The hardware and so ftware architecture should be able to support such adaptability and minimize the energy consumption by making resource allocation decisions at run-time. To make these decisions effective, a tradeoff has to be made between computation , communication and initialization costs (both time and energy). This paper describes our approach to construct a model that supports taking such decisions.

KW - EWI-1533

KW - CAES-PS: Pervasive Systems

KW - IR-18887

KW - CAES-EEA: Efficient Embedded Architectures

KW - METIS-119409

M3 - Conference contribution

SN - 90-73461-25-1

SP - 107

EP - 112

BT - 1st PROGRESS workshop on Embedded Systems

PB - STW

CY - Utrecht

Y2 - 13 October 2000 through 13 October 2000

ER -