Adaptive Self-optimization in Distributed Dynamic Environments

Grid and ubiquitous computing systems generally con-sist of a large number of networked nodes with applications implemented as distributed services or processes, respec-tively. A crucial point is the distribution of the services to balance the load within the system during runtime. In a former work we developed a self-optimization mech-anism which shows outstanding performance in static envi-ronments where the services do not change their resource consumptions (e.g. CPU, memory, communication band-width). In this paper we present simulation results for the self-optimization within dynamic environments where the services change their load during runtime. 1