Performance of Server Deployment and Selection Algorithms based on Statistical Property of Network Topology

Abstract

This paper discusses an availability of statistical property of network topology for the server development and server selection algorithm in distributed systems. As a first step, we introduce new server development and server selection algorithms based on a degree of a server—the number of links for a server—and a scope—coarse grained topological information around a server. Our simulation reveals that the use of both information as a static QoS parameter improves the fairness of server load in a real Internet AS-level topology.