A Comprehensive Resource Management Solution for Web-based Systems.

This paper presents an autonomic resource management solution that looks at the non-functional qualities of a Web-based system, as well as at the characteristics of the infrastructural resources it uses. It exploits a detailed performance model of both these aspects to increase the efficiency of resource allocation. The solution is evaluated on an auction and shopping benchmark web site, and compared to a baseline approach and to an existing solution from literature. Results show that, by jointly taking into account the different software and hardware facets of our application, we can reduce the amount of resources allocated by up to 42.5% compared with an existing work from the literature.