A row-permutated data reorganization algorithm for growing server-less video-on-demand systems

Abstract

Recently, a new server-less architecture is proposed for building low-cost yet scalable video streaming systems. Compare to conventional client-server-based video streaming systems, this server-less architecture does not need any dedicated video server and yet is highly scalable. Video data are distributed among user hosts and these hosts cooperate to stream video data to one another. Thus as new hosts join the system, they also add streaming and storage capacity to absorb the added streaming load. This study investigates the data reorganization problem when growing a server-less video streaming system. Specifically, as video data are distributed among user hosts, these data will need to be redistributed to newly joined hosts to utilize their storage and streaming capacity. This study presents a new data reorganization algorithm that allows controllable tradeoff between data reorganization overhead and streaming load balance.