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QoS Aware Job Scheduling in a Cluster-Based Web Server for Multimedia Applications
Denver, Colorado April 04-April 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.36819th IEEE International Parallel and ...
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Jiani Guo, University of California, Riverside
Laxmi Bhuyan, University of California, Riverside
Raj Kumar, Hewlett-Packard Laboratory, Palo Alto, CA
Sujoy Basu, Hewlett-Packard Laboratory, Palo Alto, CA
We propose a cluster-based web server where a few computing nodes are separately reserved for high-performance computing applications, such as multimedia, SSL, and CGI. As an example application, we consider a multimedia server that dynamically generates video units to satisfy the bit rate and bandwidth requirements of a variety of clients. To perform QoS aware scheduling of multiple multimedia jobs on the computing servers, a two-step algorithm is proposed. The first step is to fairly schedule multimedia streams to satisfy each stream's QoS requirement; and the second step is to balance the workload among heterogeneous computing nodes in the cluster. We propose a new Quota-based Adaptive CoScheduling (QACS) algorithm that greatly reduces delay jitter by eliminating the out-of-order departure for outgoing streams, as well as achieves high throughput in a heterogeneous cluster. Experimental results show that the proposed scheduling technique gives adequate QoS guarantees to multiple streams.
Citation:
Jiani Guo, Laxmi Bhuyan, Raj Kumar, Sujoy Basu, "QoS Aware Job Scheduling in a Cluster-Based Web Server for Multimedia Applications," ipdps, vol. 1, pp.93a, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers, 2005
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