Energy savings through embedded processing on disk system

Abstract— Many of today’s data-intensive applications manipulate disk-resident data sets. As a result, their overall behavior is tightly coupled with their disk performance. Unfortunately, most of these applications quickly become disk bound since disk I/O times, the communication latencies, and energy consumption required to transfer disk data to the host machine can be very large. A promising solution to this problem is to embed computational power into the disk storage system. This paper concentrates on such a smart disk based architecture and proposes an automated approach that partitions a given application code between the host machine and the smart disk. The main goal is to perform data filterings, identified at compile time, on the smart disk, thereby reducing the energy spent in communicating disk data to the host unit for processing. To achieve this, the proposed approach uses integer linear programming to identify the code fragments that perform significant data filt...

• Type: Conference
• Year: 2006
• Where: ASPDAC
• Authors: Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, Feihui Li
• Keywords: ASPDAC 2006, Disk Data, Disk Performance, Smart Disk