Advances in Multimedia Information Systems

In this paper, we consider a Video-on-Demand storage server which operates in a heterogeneous environment and faces (a) fluctuations in workload, (b) network congestion, and (c) failure of server and/or network components. network). We present scheduling of data retrieval techniques which are capable of dynamically resolving congestion which occurs on the storage subsystem due to expected and unexpected changes in I/O bandwidth demand for a scalable video server in a multi-disk environment. techniques.