MS-RAID: An energy-saving data layout for CDP

Jingyu Liu; Ziyao Zhang; Lu Liu; Xin Chai

doi:10.1007/978-3-030-05057-3_10

MS-RAID: An energy-saving data layout for CDP

Jingyu Liu
, Ziyao Zhang
, Lu Liu^*
, Xin Chai

^*Corresponding author for this work

School of Physics

Hebei University of Technology
Hebei Province Key Laboratory of Big Data Calculation

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

Abstract

Continuous data protection (CDP) provides unlimited granular recovery point objective (RPO) and nearly instant recovery time objective (RTO). It requires a great fluctuations in the performance of storage system. The system requires higher storage bandwidth when it is active, and lower when inactive. Raid, that is used in storage system normally and provides fixed performance, may face a performance bottleneck or high power consumption. This paper proposes MS-RAID, that bases on S-Raid and can provide multi-level dynamic mapping storage scheme. MS-RAID has vary levels of grouping strategies. MS-RAID can meet the needs of real-time dynamic load by changing the number of parallel disks. When the throughput rises, MS-RAID turns the high-level disk group into running to avoid the bottleneck of system performance. When the throughput falls, MS-RAID turns the low-level disk group into running to save energy consumption. Experiments show that MS-RAID is a more energy-efficient data layout, and can save more energy consumption and improve then performance than S-RAID.

Original language	English
Title of host publication	Algorithms and Architectures for Parallel Processing - 18th International Conference, ICA3PP 2018, Proceedings
Editors	Jaideep Vaidya, Jin Li
Publisher	Springer Verlag
Pages	132-141
Number of pages	10
ISBN (Print)	9783030050566
DOIs	https://doi.org/10.1007/978-3-030-05057-3_10
Publication status	Published - 2018
Event	18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018 - Guangzhou, China Duration: 15 Nov 2018 → 17 Nov 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11336 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018
Country/Territory	China
City	Guangzhou
Period	15/11/18 → 17/11/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

CDP
Data layout
Energy-saving
RAID
Storage

Access to Document

10.1007/978-3-030-05057-3_10

Cite this

Liu, J., Zhang, Z., Liu, L., & Chai, X. (2018). MS-RAID: An energy-saving data layout for CDP. In J. Vaidya, & J. Li (Eds.), Algorithms and Architectures for Parallel Processing - 18th International Conference, ICA3PP 2018, Proceedings (pp. 132-141). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11336 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-05057-3_10

Liu, Jingyu ; Zhang, Ziyao ; Liu, Lu et al. / MS-RAID : An energy-saving data layout for CDP. Algorithms and Architectures for Parallel Processing - 18th International Conference, ICA3PP 2018, Proceedings. editor / Jaideep Vaidya ; Jin Li. Springer Verlag, 2018. pp. 132-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{52c78cfd78d144b8ac0f21c7e727e298,

title = "MS-RAID: An energy-saving data layout for CDP",

abstract = "Continuous data protection (CDP) provides unlimited granular recovery point objective (RPO) and nearly instant recovery time objective (RTO). It requires a great fluctuations in the performance of storage system. The system requires higher storage bandwidth when it is active, and lower when inactive. Raid, that is used in storage system normally and provides fixed performance, may face a performance bottleneck or high power consumption. This paper proposes MS-RAID, that bases on S-Raid and can provide multi-level dynamic mapping storage scheme. MS-RAID has vary levels of grouping strategies. MS-RAID can meet the needs of real-time dynamic load by changing the number of parallel disks. When the throughput rises, MS-RAID turns the high-level disk group into running to avoid the bottleneck of system performance. When the throughput falls, MS-RAID turns the low-level disk group into running to save energy consumption. Experiments show that MS-RAID is a more energy-efficient data layout, and can save more energy consumption and improve then performance than S-RAID.",

keywords = "CDP, Data layout, Energy-saving, RAID, Storage",

author = "Jingyu Liu and Ziyao Zhang and Lu Liu and Xin Chai",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018 ; Conference date: 15-11-2018 Through 17-11-2018",

year = "2018",

doi = "10.1007/978-3-030-05057-3\_10",

language = "English",

isbn = "9783030050566",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "132--141",

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address = "Germany",

}

Liu, J, Zhang, Z, Liu, L & Chai, X 2018, MS-RAID: An energy-saving data layout for CDP. in J Vaidya & J Li (eds), Algorithms and Architectures for Parallel Processing - 18th International Conference, ICA3PP 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11336 LNCS, Springer Verlag, pp. 132-141, 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, Guangzhou, China, 15/11/18. https://doi.org/10.1007/978-3-030-05057-3_10

MS-RAID: An energy-saving data layout for CDP. / Liu, Jingyu; Zhang, Ziyao; Liu, Lu et al.
Algorithms and Architectures for Parallel Processing - 18th International Conference, ICA3PP 2018, Proceedings. ed. / Jaideep Vaidya; Jin Li. Springer Verlag, 2018. p. 132-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11336 LNCS).

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

TY - GEN

T1 - MS-RAID

T2 - 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018

AU - Liu, Jingyu

AU - Zhang, Ziyao

AU - Liu, Lu

AU - Chai, Xin

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2018.

PY - 2018

Y1 - 2018

N2 - Continuous data protection (CDP) provides unlimited granular recovery point objective (RPO) and nearly instant recovery time objective (RTO). It requires a great fluctuations in the performance of storage system. The system requires higher storage bandwidth when it is active, and lower when inactive. Raid, that is used in storage system normally and provides fixed performance, may face a performance bottleneck or high power consumption. This paper proposes MS-RAID, that bases on S-Raid and can provide multi-level dynamic mapping storage scheme. MS-RAID has vary levels of grouping strategies. MS-RAID can meet the needs of real-time dynamic load by changing the number of parallel disks. When the throughput rises, MS-RAID turns the high-level disk group into running to avoid the bottleneck of system performance. When the throughput falls, MS-RAID turns the low-level disk group into running to save energy consumption. Experiments show that MS-RAID is a more energy-efficient data layout, and can save more energy consumption and improve then performance than S-RAID.

AB - Continuous data protection (CDP) provides unlimited granular recovery point objective (RPO) and nearly instant recovery time objective (RTO). It requires a great fluctuations in the performance of storage system. The system requires higher storage bandwidth when it is active, and lower when inactive. Raid, that is used in storage system normally and provides fixed performance, may face a performance bottleneck or high power consumption. This paper proposes MS-RAID, that bases on S-Raid and can provide multi-level dynamic mapping storage scheme. MS-RAID has vary levels of grouping strategies. MS-RAID can meet the needs of real-time dynamic load by changing the number of parallel disks. When the throughput rises, MS-RAID turns the high-level disk group into running to avoid the bottleneck of system performance. When the throughput falls, MS-RAID turns the low-level disk group into running to save energy consumption. Experiments show that MS-RAID is a more energy-efficient data layout, and can save more energy consumption and improve then performance than S-RAID.

KW - CDP

KW - Data layout

KW - Energy-saving

KW - RAID

KW - Storage

UR - https://www.scopus.com/pages/publications/85058664292

U2 - 10.1007/978-3-030-05057-3_10

DO - 10.1007/978-3-030-05057-3_10

M3 - Conference contribution

AN - SCOPUS:85058664292

SN - 9783030050566

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 132

EP - 141

BT - Algorithms and Architectures for Parallel Processing - 18th International Conference, ICA3PP 2018, Proceedings

A2 - Vaidya, Jaideep

A2 - Li, Jin

PB - Springer Verlag

Y2 - 15 November 2018 through 17 November 2018

ER -

Liu J, Zhang Z, Liu L, Chai X. MS-RAID: An energy-saving data layout for CDP. In Vaidya J, Li J, editors, Algorithms and Architectures for Parallel Processing - 18th International Conference, ICA3PP 2018, Proceedings. Springer Verlag. 2018. p. 132-141. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-05057-3_10

MS-RAID: An energy-saving data layout for CDP

Abstract

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UN SDGs

Keywords

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