Massive arrays of idle disks for storage archives
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Conserving disk energy in network servers
ICS '03 Proceedings of the 17th annual international conference on Supercomputing
Energy conservation techniques for disk array-based servers
Proceedings of the 18th annual international conference on Supercomputing
Power-Aware Storage Cache Management
IEEE Transactions on Computers
Reducing Energy Consumption of Disk Storage Using Power-Aware Cache Management
HPCA '04 Proceedings of the 10th International Symposium on High Performance Computer Architecture
Modeling Hard-Disk Power Consumption
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
Hibernator: helping disk arrays sleep through the winter
Proceedings of the twentieth ACM symposium on Operating systems principles
Exploiting redundancy to conserve energy in storage systems
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
Drive-Thru: fast, accurate evaluation of storage power management
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
SODA: sensitivity based optimization of disk architecture
Proceedings of the 44th annual Design Automation Conference
PARAID: A gear-shifting power-aware RAID
ACM Transactions on Storage (TOS)
Energy management for hypervisor-based virtual machines
ATC'07 2007 USENIX Annual Technical Conference on Proceedings of the USENIX 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
Addressing the stranded power problem in datacenters using storage workload characterization
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Energy proportionality for storage: impact and feasibility
ACM SIGOPS Operating Systems Review
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 methodology to predict the power consumption of servers in data centres
Proceedings of the 2nd International Conference on Energy-Efficient Computing and Networking
Power-reduction techniques for data-center storage systems
ACM Computing Surveys (CSUR)
Thermal Modeling of Hybrid Storage Clusters
Journal of Signal Processing Systems
A survey on techniques for improving the energy efficiency of large-scale distributed systems
ACM Computing Surveys (CSUR)
Experimental Study on the Energy Consumption in IaaS Cloud Environments
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Power consumption is a major issue in today's datacenters. Storage typically comprises a significant percentage of datacenter power. Thus, understanding, managing, and reducing storage power consumption is an essential aspect of any efforts that address the total power consumption of datacenters. We developed a scalable power modeling method that estimates the power consumption of storage workloads. The modeling concept is based on identifying the major workload contributors to the power consumed by the disk arrays. To estimate the power consumed by a given host workload, our method translates the workload to the primitive activities induced on the disks. In addition, we identified that I/O queues have a fundamental influence on the power consumption. Our power estimation results are highly accurate, with only 2% deviation for typical random workloads with small transfer sizes (up to 8K), and a deviation of up to 8% for workloads with large transfer sizes. We successfully integrated our modeling into a power-aware capacity planning tool to predict system power requirements and integrated it into an online storage system to provide online estimation for the power consumed.