Effects on performance and energy reduction by file relocation based on file-access correlations

Many recent advanced applications of information systems require large amounts of data to be stored in multiple hard disk drives (HDDs). The placement of data in these drives is quite influential in reducing energy consumption while retaining the performance of the system. Several approaches have been proposed in which frequently accessed files are concentrated into a limited number of drives to enable spin-down of the other drives. However, the placement of infrequently accessed data in these drives is also significant because energy consumption during spin-up to access these data cannot be ignored, particularly when files tending to be used together are placed on many different drives. In this paper, we propose a novel method named PLECO (Placement of files for Latency and Energy Consumption Optimization), which aims to place correlated files into the same drive to reduce power consumption and improve the performance of the system. We simulated and evaluated the proposed method, and these results indicate that our proposal can reduce both the energy consumption and the access latency by up to 32% and 92%, respectively, compared with a baseline system.

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