CLC number: TP316.4
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2016-09-20
Cited: 0
Clicked: 9279
Nan-nan Zhao, Ji-guang Wan, Jun Wang, Chang-sheng Xie. A reliable power management scheme for consistent hashing based distributed key value storage systems[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(10): 994-1007.
@article{title="A reliable power management scheme for consistent hashing based distributed key value storage systems",
author="Nan-nan Zhao, Ji-guang Wan, Jun Wang, Chang-sheng Xie",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="17",
number="10",
pages="994-1007",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1601162"
}
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%T A reliable power management scheme for consistent hashing based distributed key value storage systems
%A Nan-nan Zhao
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%A Jun Wang
%A Chang-sheng Xie
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%P 994-1007
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1601162
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T1 - A reliable power management scheme for consistent hashing based distributed key value storage systems
A1 - Nan-nan Zhao
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A1 - Jun Wang
A1 - Chang-sheng Xie
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
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SP - 994
EP - 1007
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1601162
Abstract: Distributed key value storage systems are among the most important types of distributed storage systems currently deployed in data centers. Nowadays, enterprise data centers are facing growing pressure in reducing their power consumption. In this paper, we propose GreenCHT, a reliable power management scheme for consistent hashing based distributed key value storage systems. It consists of a multi-tier replication scheme, a reliable distributed log store, and a predictive power mode scheduler (PMS). Instead of randomly placing replicas of each object on a number of nodes in the consistent hash ring, we arrange the replicas of objects on nonoverlapping tiers of nodes in the ring. This allows the system to fall in various power modes by powering down subsets of servers while not violating data availability. The predictive PMS predicts workloads and adapts to load fluctuation. It cooperates with the multi-tier replication strategy to provide power proportionality for the system. To ensure that the reliability of the system is maintained when replicas are powered down, we distribute the writes to standby replicas to active servers, which ensures failure tolerance of the system. GreenCHT is implemented based on Sheepdog, a distributed key value storage system that uses consistent hashing as an underlying distributed hash table. By replaying 12 typical real workload traces collected from Microsoft, the evaluation results show that GreenCHT can provide significant power savings while maintaining a desired performance. We observe that GreenCHT can reduce power consumption by up to 35%–61%.
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