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QoS Aware Job Scheduling in a Cluster-Based Web Server for Multimedia Applications

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4 Author(s)
Jiani Guo ; Comput. Sci. & Eng., California Univ., Riverside, CA, USA ; Laxmi Bhuyan ; Kumar, R. ; Basu, S.

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.

Published in:

Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International

Date of Conference:

04-08 April 2005