Simulated analysis of server placement on network topology designs
Sami J. Habib · 2005
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.