Energy Efficiency Evaluation of a Data Mining Prefetching Algorithm for Hybrid Storage Systems

Abstract

This paper evaluates the energy performance of a novel data prefetching scheme in multi level storage system. This data prefetching algorithm (DM-PAS) proposes a hybrid storage system that consists of Solid State Drives (SSD), conventional Hard Disk Drives (HDD) and Tape Drives (TD). The algorithm was originally developed to meet the growing demand of high speed data fetching in the large cloud systems. Inspired by enormous download requests to the EROS (Earth Resources Observation and Science) center of the U.S. Geological Survey, the purpose of the developed algorithm was to achieve high I/O performance and reliability and tested in a real world hybrid storage system. However, as energy efficiency in the computing system context is becoming crucial day by day, energy aware algorithms offers a distinct appeal to the data center administrators. Simulations were performed to evaluate the efficacy of the tested energy-conserving strategy DM-PAS. Simulations demonstrate that utilization of DM-PAS results in reduced energy consumption of hybrid storage systems in a dynamic environment as compared with the same storage systems without using DM-PAS.