A decentralized strategy for resource allocation

An algorithm is presented for optimal resource allocation in large-scale systems. The approach is based on a two-step noniterative decomposition technique: subsystem optimization is performed locally and the results are combined to provide a global optimum. The unique feature of the approach is that it performs the optimization in a completely decentralized manner, without a central coordinator.