No More Energy-Performance Trade-Off: A New Data Placement Strategy for RAID-Structured Storage Systems

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 aver...

• Type: Conference
• Year: 2007
• Where: HIPC
• Authors: Tao Xie 0004, Yao Sun
• Keywords: Data Placement, Data Placement Algorithms, Distributed And Parallel Computing, HIPC 2007, Prompt Responses