A Novel Disk Layout Optimization for Networked Storage Systems

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, to illustrate the effectiveness of SEA, 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, SEAO 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.