2 research outputs found
Automated Cluster-Based Web Service Performance Tuning
In this paper, we apply the Active Harmony system to improve the
performance of a cluster-based web service system. The performance
improvement cannot easily be achieved by tuning individual components for
such a system. The experimental results show that there is no single
configuration for the system that performs well for all kinds of
workloads. By tuning the parameters, the Active Harmony helps the system
adapt to different workloads and improve the performance up to 16%. For
scalability, we demonstrate how to reduce the time when tuning a large
system with many tunable parameters. Finally an algorithm is proposed to
automatically adjust the structure of cluster-based web systems, and the
system throughput is improved up to 70% using this technology.
(UMIACS-TR-2003-84