Maximizing Service-Level-Agreement Revenues in Clustered-based Web Server Systems

Abstract — Cluster-based Web server systems have become a major means to hosting e-commerce sites. In this paper, we link the issue of resource partitioning scheme with the pricing strategy in a Service-Level-Agreement (SLA) and analyze the problem of maximizing the revenues attained in the hosting of a e-commerce site with a SLA contract by optimally partitioning the server resources among all supported service classes. The optimal resource partitioning scheme is derived under the linear pricing strategy by the Lagrangian optimization approach, which has the closed-form solution. The simulation results demonstrate the ability of revenue maximization of the derived optimal resource partitioning scheme in cluster-based Web server systems