Energy-aware data placement strategy for SSD-assisted streaming video servers

Chien Chung Ho; Hui Wen Chen; Yuan Hao Chang; Yu Ming Chang; Po Chun Huang; Tei Wei Kuo; David Hung Chang Du

doi:10.1109/NVMSA.2014.6927190

Energy-aware data placement strategy for SSD-assisted streaming video servers

Chien Chung Ho, Hui Wen Chen, Yuan Hao Chang, Yu Ming Chang, Po Chun Huang, Tei Wei Kuo, David Hung Chang Du

Graduate Program of Artificial Intelligence

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

3 Citations (Scopus)

Abstract

This paper is motivated by the tremendous energy consumption of streaming video servers and the energy-economic nature of solid-state drives. An energy-aware data placement strategy with its associated scheduling policy is proposed for streaming video servers equipped with solid-state drives (SSDs). A skewed energy-aware load over SSDs and disks is adopted with a duplication policy to deal with popular and unpopular video files so that disks could spin down as much as possible. With the concepts of batch processing and patching integrated with the scheduling policy, the proposed strategy could further reduce the bandwidth load and minimize the number of active disks.

Original language	English
Title of host publication	2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479955763
DOIs	https://doi.org/10.1109/NVMSA.2014.6927190
Publication status	Published - 2014 Oct 16
Event	2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014 - Chongqing, China Duration: 2014 Aug 20 → 2014 Aug 21

Publication series

Name	2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014

Conference

Conference	2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014
Country/Territory	China
City	Chongqing
Period	14-08-20 → 14-08-21

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Signal Processing
Software

UN SDGs

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

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10.1109/NVMSA.2014.6927190

Cite this

Ho, C. C., Chen, H. W., Chang, Y. H., Chang, Y. M., Huang, P. C., Kuo, T. W., & Du, D. H. C. (2014). Energy-aware data placement strategy for SSD-assisted streaming video servers. In 2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014 Article 6927190 (2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NVMSA.2014.6927190

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title = "Energy-aware data placement strategy for SSD-assisted streaming video servers",

abstract = "This paper is motivated by the tremendous energy consumption of streaming video servers and the energy-economic nature of solid-state drives. An energy-aware data placement strategy with its associated scheduling policy is proposed for streaming video servers equipped with solid-state drives (SSDs). A skewed energy-aware load over SSDs and disks is adopted with a duplication policy to deal with popular and unpopular video files so that disks could spin down as much as possible. With the concepts of batch processing and patching integrated with the scheduling policy, the proposed strategy could further reduce the bandwidth load and minimize the number of active disks.",

author = "Ho, {Chien Chung} and Chen, {Hui Wen} and Chang, {Yuan Hao} and Chang, {Yu Ming} and Huang, {Po Chun} and Kuo, {Tei Wei} and Du, {David Hung Chang}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014 ; Conference date: 20-08-2014 Through 21-08-2014",

year = "2014",

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doi = "10.1109/NVMSA.2014.6927190",

language = "English",

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Ho, CC, Chen, HW, Chang, YH, Chang, YM, Huang, PC, Kuo, TW & Du, DHC 2014, Energy-aware data placement strategy for SSD-assisted streaming video servers. in 2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014., 6927190, 2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014, Chongqing, China, 14-08-20. https://doi.org/10.1109/NVMSA.2014.6927190

Energy-aware data placement strategy for SSD-assisted streaming video servers. / Ho, Chien Chung; Chen, Hui Wen; Chang, Yuan Hao et al.
2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 6927190 (2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014).

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

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T1 - Energy-aware data placement strategy for SSD-assisted streaming video servers

AU - Ho, Chien Chung

AU - Chen, Hui Wen

AU - Chang, Yuan Hao

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AU - Du, David Hung Chang

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N2 - This paper is motivated by the tremendous energy consumption of streaming video servers and the energy-economic nature of solid-state drives. An energy-aware data placement strategy with its associated scheduling policy is proposed for streaming video servers equipped with solid-state drives (SSDs). A skewed energy-aware load over SSDs and disks is adopted with a duplication policy to deal with popular and unpopular video files so that disks could spin down as much as possible. With the concepts of batch processing and patching integrated with the scheduling policy, the proposed strategy could further reduce the bandwidth load and minimize the number of active disks.

AB - This paper is motivated by the tremendous energy consumption of streaming video servers and the energy-economic nature of solid-state drives. An energy-aware data placement strategy with its associated scheduling policy is proposed for streaming video servers equipped with solid-state drives (SSDs). A skewed energy-aware load over SSDs and disks is adopted with a duplication policy to deal with popular and unpopular video files so that disks could spin down as much as possible. With the concepts of batch processing and patching integrated with the scheduling policy, the proposed strategy could further reduce the bandwidth load and minimize the number of active disks.

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M3 - Conference contribution

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T3 - 2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014

BT - 2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014

PB - Institute of Electrical and Electronics Engineers Inc.

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Ho CC, Chen HW, Chang YH, Chang YM, Huang PC, Kuo TW et al. Energy-aware data placement strategy for SSD-assisted streaming video servers. In 2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 6927190. (2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014). doi: 10.1109/NVMSA.2014.6927190

Energy-aware data placement strategy for SSD-assisted streaming video servers

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