Adaptive management of an active service network

The benefits of active services and networks cannot be realized unless the associated increase in system complexity can be efficiently managed. An ada ptive management solution is required. Simulation results show that a distr ibuted genetic algorithm, inspired by observations of bacterial communities , can offer many key management functions. The algorithm is fast and effici ent, even when the demand for network services is varying rapidly.