Optimizing energy and performance for server-class file system workloads
ACM Transactions on Storage (TOS)
Evaluating performance and energy in file system server workloads
FAST'10 Proceedings of the 8th USENIX conference on File and storage technologies
A spin-up saved is energy earned: achieving power-efficient, erasure-coded storage
HotDep'08 Proceedings of the Fourth conference on Hot topics in system dependability
Towards energy proportional cloud for data processing frameworks
SustainIT'10 Proceedings of the First USENIX conference on Sustainable information technology
Dynamic grid quorum: a reconfigurable grid quorum and its power optimization algorithm
Service Oriented Computing and Applications
PRE-BUD: Prefetching for energy-efficient parallel I/O systems with buffer disks
ACM Transactions on Storage (TOS)
Analysis of disk power management for data-center storage systems
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Systematic approach of using power save mode for cloud data processing services
International Journal of Ad Hoc and Ubiquitous Computing
A highly reliable and parallelizable data distribution scheme for data grids
Future Generation Computer Systems
CacheRAID: An Efficient Adaptive Write Cache Policy to Conserve RAID Disk Array Energy
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
Power-reduction techniques for data-center storage systems
ACM Computing Surveys (CSUR)
On reducing energy management delays in disks
Journal of Parallel and Distributed Computing
Exploiting Redundancies and Deferred Writes to Conserve Energy in Erasure-Coded Storage Clusters
ACM Transactions on Storage (TOS)
Saving disk energy in video servers by combining caching and prefetching
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special issue of best papers of ACM MMSys 2013 and ACM NOSSDAV 2013
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Recently energy consumption becomes an ever critical concern for both low-end and high-end storage servers and data centers. A majority of existing energy conservation solutions resort to multispeed disks. However, most of current server systems are still built with conventional disks. In this paper, we propose an energy saving policy, eRAID (energy-efficient RAID), for mirrored redundant disk array architectures. eRAID saves energy by spinning down partial or entire mirror disk group with controllable performance degradation. We first develop an energy-saving model for multi-disk environment by taking into account both disk characteristics and workload features. Then, we develop a queueing model based performance (response time and throughput) control scheme for eRAID. Experimental results show that eRAID can save up to 32% energy without violating predefined performance degradation constraints.