Energy Smart Management of Scientific Data
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
A file assignment strategy independent of workload characteristic assumptions
ACM Transactions on Storage (TOS)
Analysis of power-aware buffering schemes in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
A data placement strategy in scientific cloud workflows
Future Generation Computer Systems
Dynamic data reorganization for energy savings in disk storage systems
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
Energy proportionality for disk storage using replication
Proceedings of the 14th International Conference on Extending Database Technology
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
FREP: Energy proportionality for disk storage using replication
Journal of Parallel and Distributed 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
Data prefetching to reduce energy use by heterogeneous disk arrays in video servers
Proceeding of the 23rd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video
Power-reduction techniques for data-center storage systems
ACM Computing Surveys (CSUR)
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
A three-phase energy-saving strategy for cloud storage systems
Journal of Systems and Software
MORM: A Multi-objective Optimized Replication Management strategy for cloud storage cluster
Journal of Systems Architecture: the EUROMICRO Journal
| Hi-index | 14.98 |
Many real-world applications need to frequently access data stored on large-scale parallel disk storage systems. On one hand, prompt responses to access requests are essential for these applications. On the other hand, however, with an explosive increase of data volume and the emerging of faster disks with higher power requirements, energy consumption of disk-based storage systems has become a salient issue. To achieve energy-conservation and prompt responses simultaneously, in this paper we propose a novel energy-aware strategy, called striping-based energy-aware (SEA), which can be integrated into data placement in RAID-structured storage systems to noticeably save energy while providing quick responses. Next, to illustrate the effectiveness of SEA, we implement two SEA-powered striping-based data placement algorithms, SEA0 and SEA5, by incorporating the SEA strategy into RAID-0 and RAID-5, respectively. Extensive experimental results demonstrate that compared with traditional non-stripping data placement algorithms, our algorithms significantly improve performance and save energy. Further, compared with an existing stripping-based data placement scheme, the two SEA-powered strategies noticeably reduce energy consumption with only a little performance degradation.