Simulated analysis of server placement on network topology designs

Summary form only given. We analyze the consequences when both the server placement problem and network topology problem are solved concurrently through a soft computing. Both problems are formulated as a combined optimization problem, subject to a set of design and performance constraints while minimizing the network design cost. In this paper, we have encoded the combined optimization problem within a capacity-planning tool, called NETCAP, which is a probabilistic soft computing program for automatically searching the design space. The experimental results described here demonstrate the effectiveness of NETCAP in finding good optimized 3-level network topologies (65 user nodes) for server placement with a static load under five minutes.