Reducing energy consumption with batched task executions

Kenichi Yasukata; Tetsuro Horikawa; Michio Honda; Hideyuki Tokuda

doi:10.1145/2426656.2426699

Reducing energy consumption with batched task executions

Kenichi Yasukata
, Tetsuro Horikawa
, Michio Honda
, Hideyuki Tokuda

環境情報学部

研究成果: Conference contribution

抄録

In sensing systems, data compression is a promised way to save energy because it reduces the rate of data transmission, but less attention has been paid to the underlying task scheduling algorithms. We present a Double Rate Bundle Scheduling algorithm (DRBS) that maximizes the sleep state period of the CPU to reduce energy consumption. Our prototype implementation in a Mote device improves energy efficiency up to 8% compared to existing algorithms.

本文言語	English
ホスト出版物のタイトル	SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
ページ	343-344
ページ数	2
DOI	https://doi.org/10.1145/2426656.2426699
出版ステータス	Published - 2012
イベント	10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012 - Toronto, ON, Canada 継続期間: 2012 11月 6 → 2012 11月 9

出版物シリーズ

名前	SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems

Other

Other	10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012
国/地域	Canada
City	Toronto, ON
Period	12/11/6 → 12/11/9

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

SDG 7 エネルギーをみんなに　そしてクリーンに

ASJC Scopus subject areas

コンピュータネットワークおよび通信

文献へのアクセス

10.1145/2426656.2426699

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引用スタイル

Yasukata, K, Horikawa, T, Honda, M & Tokuda, H 2012, Reducing energy consumption with batched task executions. in SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems. SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems, pp. 343-344, 10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012, Toronto, ON, Canada, 12/11/6. https://doi.org/10.1145/2426656.2426699

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title = "Reducing energy consumption with batched task executions",

abstract = "In sensing systems, data compression is a promised way to save energy because it reduces the rate of data transmission, but less attention has been paid to the underlying task scheduling algorithms. We present a Double Rate Bundle Scheduling algorithm (DRBS) that maximizes the sleep state period of the CPU to reduce energy consumption. Our prototype implementation in a Mote device improves energy efficiency up to 8\% compared to existing algorithms.",

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author = "Kenichi Yasukata and Tetsuro Horikawa and Michio Honda and Hideyuki Tokuda",

year = "2012",

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language = "English",

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note = "10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012 ; Conference date: 06-11-2012 Through 09-11-2012",

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AU - Honda, Michio

AU - Tokuda, Hideyuki

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N2 - In sensing systems, data compression is a promised way to save energy because it reduces the rate of data transmission, but less attention has been paid to the underlying task scheduling algorithms. We present a Double Rate Bundle Scheduling algorithm (DRBS) that maximizes the sleep state period of the CPU to reduce energy consumption. Our prototype implementation in a Mote device improves energy efficiency up to 8% compared to existing algorithms.

AB - In sensing systems, data compression is a promised way to save energy because it reduces the rate of data transmission, but less attention has been paid to the underlying task scheduling algorithms. We present a Double Rate Bundle Scheduling algorithm (DRBS) that maximizes the sleep state period of the CPU to reduce energy consumption. Our prototype implementation in a Mote device improves energy efficiency up to 8% compared to existing algorithms.

KW - Operating system

KW - Real-time and embedded systems

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DO - 10.1145/2426656.2426699

M3 - Conference contribution

AN - SCOPUS:84873425708

SN - 9781450311694

T3 - SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems

SP - 343

EP - 344

BT - SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems

T2 - 10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012

Y2 - 6 November 2012 through 9 November 2012

ER -

Reducing energy consumption with batched task executions

抄録

出版物シリーズ

Other

UN SDG

ASJC Scopus subject areas

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