Title :
QoS Aware Job Scheduling in a Cluster-Based Web Server for Multimedia Applications
Author :
Guo, Jiani ; Bhuyan, Laxmi ; Kumar, Raj ; Basu, Sujoy
Author_Institution :
Comput. Sci. & Eng., California Univ., Riverside, CA, USA
Abstract :
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.
Keywords :
Internet; client-server systems; multimedia computing; multimedia servers; quality of service; scheduling; video streaming; workstation clusters; CGI; QoS; SSL; cluster-based Web server; heterogeneous computing; high-performance computing; job scheduling technique; multimedia server; multimedia streams; quota-based adaptive coscheduling algorithm; Bandwidth; Bit rate; Clustering algorithms; Computer applications; Delay; Multimedia computing; Processor scheduling; Scheduling algorithm; Streaming media; Web server;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
DOI :
10.1109/IPDPS.2005.368