Integrated Data Reorganization and Disk Mapping for Reducing Disk Energy Consumption

Increasing power consumption of high-performance systems leads to reliability, survivability, and cooling related problems. Motivated by this observation, several recent efforts focused on reducing disk power consumption through hardware, OS and compiler based techniques. This paper presents a novel approach to reducing disk power consumption of large-scale, array-intensive scientific applications. It proposes and evaluates a compiler-based approach that employs two complementary techniques: data reorganization and disk mapping. The first of these, data reorganization, determines a suitable layout for data in the array space, whereas the second technique, disk mapping, decides the corresponding layout in the disk space. The goal of data reorganization and disk mapping is to ensure that data (from the different disk-resident arrays) that are accessed within the same loop iteration are colocated in the same set of disks. In this way, we can increase disk inter-access times (idle perio...

• Type: Conference
• Year: 2007
• Where: CCGRID
• Authors: Seung Woo Son, Mahmut T. Kandemir
• Keywords: CCGRID 2007, Cluster Computing, Disk Mapping, Disk Power, Disk Power Consumption