DASD dancing: A disk load balancing optimization scheme for video-on-demand computer systems

Abstract

For a video-on-demand computer system we propose a scheme which balances the load on the disks, thereby helping to solve a performance problem crucial to achieving maximal video throughput. Our load balancing scheme consists of two stages. The static stage determines good assignments of videos to groups of striped disks. The dynamic phase uses these assignments, and features a DASD dancing algorithm which performs real-time disk scheduling in an effective manner. Our scheme works synergistically with disk striping. We examine the performance of the DASD dancing algorithm via simulation experiments.