Energy-optimal batching periods for asynchronous multistage data processing on sensor nodes: Foundations and an mPlatform case study

Qing Cao; Dong Wang; Tarek Abdelzaher; Bodhi Priyantha; Jie Liu; Feng Zhao

doi:10.1109/RTAS.2010.16

Energy-optimal batching periods for asynchronous multistage data processing on sensor nodes: Foundations and an mPlatform case study

Qing Cao^*
, Dong Wang
, Tarek Abdelzaher
, Bodhi Priyantha
, Jie Liu
, Feng Zhao

^*Corresponding author for this work

University of Illinois at Urbana-Champaign
Microsoft USA

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

3 Scopus citations

Abstract

This paper derives energy-optimal batching periods for asynchronous multistage data processing on sensor nodes in the sense of minimizing energy consumption while meeting end-to-end deadlines. Batching the processing of (sensor) data maximizes processor sleep periods, hence minimizing the wakeup frequency and the corresponding overhead. The algorithm is evaluated on mPlatform, a next-generation heterogeneous sensor node platform equipped with both a low-end microcontroller (MSP430) and a higher-end embedded systems processor (ARM). Experimental results show that the total energy consumption of mPlatform, when processing data flows at their optimal batching periods, is up to 35% lower than that for uniform period assignment. Moreover, processing data at the appropriate processor can use as much as 80% less energy than running the same task set on the ARM alone and 25% less energy than running the task set on the MSP430 alone.

Original language	English
Title of host publication	Proceedings of the 16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010
Pages	101-110
Number of pages	10
DOIs	https://doi.org/10.1109/RTAS.2010.16
State	Published - 2010
Externally published	Yes
Event	16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010 - Stockholm, Sweden Duration: 12 Apr 2010 → 15 Apr 2010

Publication series

Name	Real-Time Technology and Applications - Proceedings
ISSN (Print)	1080-1812

Conference

Conference	16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010
Country/Territory	Sweden
City	Stockholm
Period	12/04/10 → 15/04/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1109/RTAS.2010.16

Cite this

Cao, Q., Wang, D., Abdelzaher, T., Priyantha, B., Liu, J., & Zhao, F. (2010). Energy-optimal batching periods for asynchronous multistage data processing on sensor nodes: Foundations and an mPlatform case study. In Proceedings of the 16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010 (pp. 101-110). Article 5465968 (Real-Time Technology and Applications - Proceedings). https://doi.org/10.1109/RTAS.2010.16

@inproceedings{0c03de0bf5c34d208cff613d82b425e1,

title = "Energy-optimal batching periods for asynchronous multistage data processing on sensor nodes: Foundations and an mPlatform case study",

abstract = "This paper derives energy-optimal batching periods for asynchronous multistage data processing on sensor nodes in the sense of minimizing energy consumption while meeting end-to-end deadlines. Batching the processing of (sensor) data maximizes processor sleep periods, hence minimizing the wakeup frequency and the corresponding overhead. The algorithm is evaluated on mPlatform, a next-generation heterogeneous sensor node platform equipped with both a low-end microcontroller (MSP430) and a higher-end embedded systems processor (ARM). Experimental results show that the total energy consumption of mPlatform, when processing data flows at their optimal batching periods, is up to 35\% lower than that for uniform period assignment. Moreover, processing data at the appropriate processor can use as much as 80\% less energy than running the same task set on the ARM alone and 25\% less energy than running the task set on the MSP430 alone.",

author = "Qing Cao and Dong Wang and Tarek Abdelzaher and Bodhi Priyantha and Jie Liu and Feng Zhao",

year = "2010",

doi = "10.1109/RTAS.2010.16",

language = "英语",

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series = "Real-Time Technology and Applications - Proceedings",

pages = "101--110",

booktitle = "Proceedings of the 16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010",

note = "16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010 ; Conference date: 12-04-2010 Through 15-04-2010",

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Cao, Q, Wang, D, Abdelzaher, T, Priyantha, B, Liu, J & Zhao, F 2010, Energy-optimal batching periods for asynchronous multistage data processing on sensor nodes: Foundations and an mPlatform case study. in Proceedings of the 16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010., 5465968, Real-Time Technology and Applications - Proceedings, pp. 101-110, 16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010, Stockholm, Sweden, 12/04/10. https://doi.org/10.1109/RTAS.2010.16

Energy-optimal batching periods for asynchronous multistage data processing on sensor nodes: Foundations and an mPlatform case study. / Cao, Qing; Wang, Dong; Abdelzaher, Tarek et al.
Proceedings of the 16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010. 2010. p. 101-110 5465968 (Real-Time Technology and Applications - Proceedings).

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

TY - GEN

T1 - Energy-optimal batching periods for asynchronous multistage data processing on sensor nodes

T2 - 16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010

AU - Cao, Qing

AU - Wang, Dong

AU - Abdelzaher, Tarek

AU - Priyantha, Bodhi

AU - Liu, Jie

AU - Zhao, Feng

PY - 2010

Y1 - 2010

N2 - This paper derives energy-optimal batching periods for asynchronous multistage data processing on sensor nodes in the sense of minimizing energy consumption while meeting end-to-end deadlines. Batching the processing of (sensor) data maximizes processor sleep periods, hence minimizing the wakeup frequency and the corresponding overhead. The algorithm is evaluated on mPlatform, a next-generation heterogeneous sensor node platform equipped with both a low-end microcontroller (MSP430) and a higher-end embedded systems processor (ARM). Experimental results show that the total energy consumption of mPlatform, when processing data flows at their optimal batching periods, is up to 35% lower than that for uniform period assignment. Moreover, processing data at the appropriate processor can use as much as 80% less energy than running the same task set on the ARM alone and 25% less energy than running the task set on the MSP430 alone.

AB - This paper derives energy-optimal batching periods for asynchronous multistage data processing on sensor nodes in the sense of minimizing energy consumption while meeting end-to-end deadlines. Batching the processing of (sensor) data maximizes processor sleep periods, hence minimizing the wakeup frequency and the corresponding overhead. The algorithm is evaluated on mPlatform, a next-generation heterogeneous sensor node platform equipped with both a low-end microcontroller (MSP430) and a higher-end embedded systems processor (ARM). Experimental results show that the total energy consumption of mPlatform, when processing data flows at their optimal batching periods, is up to 35% lower than that for uniform period assignment. Moreover, processing data at the appropriate processor can use as much as 80% less energy than running the same task set on the ARM alone and 25% less energy than running the task set on the MSP430 alone.

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M3 - 会议稿件

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ER -

Cao Q, Wang D, Abdelzaher T, Priyantha B, Liu J, Zhao F. Energy-optimal batching periods for asynchronous multistage data processing on sensor nodes: Foundations and an mPlatform case study. In Proceedings of the 16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010. 2010. p. 101-110. 5465968. (Real-Time Technology and Applications - Proceedings). doi: 10.1109/RTAS.2010.16

Energy-optimal batching periods for asynchronous multistage data processing on sensor nodes: Foundations and an mPlatform case study

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