Abstract
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.
This work was supported in part by the NSF CAREER grant CCR-96-25013.
This work was partly done while the author was with the Department of Computer Science at Columbia University.
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Papadopouli, M., Golubchik, L. (1998). A Scalable Video-on-Demand Server for a Dynamic Heterogeneous Environment. In: Advances in Multimedia Information Systems. MIS 1998. Lecture Notes in Computer Science, vol 1508. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49651-3_3
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DOI: https://doi.org/10.1007/3-540-49651-3_3
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