Scheduling optimization for resource-intensive Web requests on server clusters

Abstract

Clustering support with a single-system image for large-scale Web servers is important to improve the system scalability in processing a large number of concurrent requests from Internet, especially when those requests involve resource-intensive dynamic content generation. This paper proposes scheduling optimization for a Web server cluster with a master/slave architecture which separates static and dynamic content processing. Our experimental results show that the proposed optimization using reservation-based scheduling can produce up to a 68% performance improvement.