File-Access Characteristics of Parallel Scientific Workloads
IEEE Transactions on Parallel and Distributed Systems
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
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
Cooperative I/O: a novel I/O semantics for energy-aware applications
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
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
Predicting bounds on queuing delay for batch-scheduled parallel machines
Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Energy efficient prefetching and caching
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
GreenStor: Application-Aided Energy-Efficient Storage
MSST '07 Proceedings of the 24th IEEE Conference on Mass Storage Systems and Technologies
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Large-scale high-speed mass-storage systems account for a large part of the energy consumed at data centers. To conserve energy consumed by these storage systems, we propose a high-speed tiered-storage system with a power-aware proactive method of storage-tiering management that minimizes loss of performance, which we have called the energy-efficient High-speed Tiered-Storage system (eHiTS). eHiTS consists of a tiered-storage system with high-speed online storage as the first tier and low-power nearline storage with high capacity as the second tier. All files are always stored in nearline storage when it is created, in which the hard disk drives are usually left powered off. Based on hints from a high-performance computing (HPC) application, only the volume that includes the accessed files (datasets) is copied from nearline to online storage before access. The results obtained from our testbed with 64-TB capacity revealed that eHiTS was able to conserve up to 16% of the energy consumed by an ordinary tiered-storage system with the same capacity. This corresponded to a 55%-energy saving in 1-PB capacity.