On The Cooling Of Energy Efficient Storage

Keywords

Energy-efficient storage; Fuzzy control; Temperature

Abstract

Energy consumption has become an important issue in storage systems. Existing energy control solutions emphasize power consumption without considering re- liability degradation that results from overburden of those long standing disks. In this paper, we develop a novel multiple criteria optimization scheme based on Fuzzy Decision Making theory, for the Cool Energy Efficient Storage System called CEES. CEES aims to enforce a temperature constraint as well as performance requirements while also keeping energy consumption to a minimum. This is achieved by aggregating all the decision criteria, such as I/O performance, power consumption, temperature and frequency of disk-status transition. We first calculate the satisfaction degree of each criteria. Then, we use the weighted averaging satisfaction degree to determine the system control sequence. The experimental results show that CEES is able to reduce disk temperature by 20-30% as compared with existing control methods, while obtaining comparable performance and power consumption.

Publication Date

9-10-2015

Publication Title

Proceedings of the 2015 IEEE International Conference on Networking, Architecture and Storage, NAS 2015

Number of Pages

64-70

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/NAS.2015.7255212

Socpus ID

84960906114 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84960906114

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