@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",
editor = "Jaideep Vaidya and Jin Li",
booktitle = "Algorithms and Architectures for Parallel Processing - 18th International Conference, ICA3PP 2018, Proceedings",
address = "Germany",
}
