Massive arrays of idle disks for storage archives
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Online strategies for dynamic power management in systems with multiple power-saving states
ACM Transactions on Embedded Computing Systems (TECS)
Disk drive level workload characterization
ATEC '06 Proceedings of the annual conference on USENIX '06 Annual Technical Conference
Write off-loading: practical power management for enterprise storage
FAST'08 Proceedings of the 6th USENIX Conference on File and Storage Technologies
Markov Model Based Disk Power Management for Data Intensive Workloads
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Autonomic exploration of trade-offs between power and performance in disk drives
Proceedings of the 7th international conference on Autonomic computing
SRCMap: energy proportional storage using dynamic consolidation
FAST'10 Proceedings of the 8th USENIX conference on File and storage technologies
The bleak future of NAND flash memory
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
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The biggest power consumer in data centers is the storage system. Coupled with the fact that disk drives are lowly utilized, disks offer great opportunities for power savings, but any power saving action should be transparent to user traffic. Estimating correctly the performance impact of power saving becomes crucial for the effectiveness of power saving. Here, we develop a methodology that quantitatively estimates the performance impact due to power savings. By taking into consideration the propagation delay effects. Experiments driven by production server traces verify the correctness and efficiency of the proposed analytical methodology.