Throughput Optimization in Disk-Based Real-Time Application Specific Systems

  • Authors:

  • Stephen Docy;Inki Hong;Miodrag Potkonjak

  • Affiliations:

  • Computer Science Department, University of California, Los Angeles, CA;Computer Science Department, University of California, Los Angeles, CA;Computer Science Department, University of California, Los Angeles, CA

  • Venue:
  • ISSS '96 Proceedings of the 9th international symposium on System synthesis
  • Year:
  • 1996

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Abstract

Traditionally, application specific computations have been focusing on numerically intensive data manipulation. Modern communications and DSP applications, such as WWW, and video-on-demand, however, are increasingly more data management oriented. At the same time, the technological trends indicate that magnetic disk system performance is rapidly becoming a principal component in overall system behavior. We initiate system level research in synthesis of disk-based application specific system by introducing cost and throughput optimization problems for synthesis of disk- based application specific systems. We formulate, establish computational complexity, and develop efficient optimization algorithms for data assignment on a single and multiple disks so that the seek time overhead is minimized. Extensive experimental results clearly indicate the importance of the synthesis problem and effectiveness of the proposed optimization algorithms.