Greencht: A Power-Proportional Replication Scheme For Consistent Hashing Based Key Value Storage Systems
Keywords
CHT; Key Value Storage System; Power Management; Replication; Sheepdog
Abstract
Distributed key value storage systems are widely used by many popular networking corporations. Nevertheless, server power consumption has become a growing concern for key value storage system designers since the power consumption of servers contributes substantially to a data center's power bills. In this paper, we propose GreenCHT, a power-proportional replication scheme for consistent hashing based key value storage systems. GreenCHT consists of a power-aware replication strategy - multi-tier replication strategy and a centralized power control service - predictive power-mode scheduler. The multitier replication provides power-proportionality and ensures data availability, reliability, consistency, as well as fault-tolerance of the whole system. The predictive power-mode scheduler component predicts workloads and exploits load fluctuation to schedule nodes to be powered-up and powered-down. GreenCHT is implemented based on Sheepdog, a distributed key value system that uses consistent hashing as an underlying distributed hash table. By replicating twelve real workload traces collected from Microsoft, the evaluation results show that GreenCHT can provide significant power savings while maintaining an acceptable performance. We observed that GreenCHT can reduce power consumption by up to 35%-61%.
Publication Date
8-17-2015
Publication Title
IEEE Symposium on Mass Storage Systems and Technologies
Volume
2015-August
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/MSST.2015.7208289
Copyright Status
Unknown
Socpus ID
84952019349 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84952019349
STARS Citation
Zhao, Nannan; Wan, Jiguang; Wang, Jun; and Xie, Changsheng, "Greencht: A Power-Proportional Replication Scheme For Consistent Hashing Based Key Value Storage Systems" (2015). Scopus Export 2015-2019. 1513.
https://stars.library.ucf.edu/scopus2015/1513