ACM Transactions on Computer Systems (TOCS)
On configuring a single disk continuous media server
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Memory-based architecture for distributed WWW caching proxy
WWW7 Proceedings of the seventh international conference on World Wide Web 7
File Assignment in Parallel I/O Systems with Minimal Variance of Service Time
IEEE Transactions on Computers
Comparative Models of the File Assignment Problem
ACM Computing Surveys (CSUR)
Optimal Data Placement on Disks: A Comprehensive Solution for Different Technologies
IEEE Transactions on Knowledge and Data Engineering
Design and development of data-intensive web sites: The Araneus approach
ACM Transactions on Internet Technology (TOIT)
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
DRPM: dynamic speed control for power management in server class disks
Proceedings of the 30th annual international symposium on Computer architecture
Energy conservation techniques for disk array-based servers
Proceedings of the 18th annual international conference on Supercomputing
Disk layout optimization for reducing energy consumption
Proceedings of the 19th annual international conference on Supercomputing
Proceedings of the twentieth ACM symposium on Operating systems principles
SAIL: self-adaptive file reallocation on hybrid disk arrays
HiPC'08 Proceedings of the 15th international conference on High performance computing
An adaptive energy-conserving strategy for parallel disk systems
Future Generation Computer Systems
| Hi-index | 0.00 |
Many real-world applications like Video-On-Demand (VOD) and Web servers require prompt responses to access requests. 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-saving data placement strategy, called Striping-based Energy-Aware (SEA), which can be applied to RAID-structured storage systems to noticeably save energy while providing quick responses. Further, we implement two SEA-powered RAID-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 three well-known data placement algorithms Greedy, SP, and HP, SEA0 and SEA5 reduce mean response time on average at least 52.15% and 48.04% while saving energy on average no less than 10.12% and 9.35%, respectively.