Load shedding and distributed resource control of stream processing networks

Recent advances in networking and information technology boost the development of new and advanced services offered over communication systems that integrate a widely heterogeneous mix of applications and computer devices. Without careful traffic control and resource management, the implied dramatic increase in the demand for networking resources and remote application services may lead to substantial degradation of the Quality of Service as experienced by the end users. In this paper, we consider the problem of joint admission control and dynamic resource allocation in a stream processing network so as to optimize the overall system utility. With a primal-dual-based optimization approach, we show that the resource allocation problem and the admission control problem can be decomposed. We then present a distributed algorithm which incorporates a push-and-pull-based admission control mechanism, and a pressure-based cμ rule for resource allocation. We show that the algorithm guarantees the stability of the network and converges to the optimal solution. Various numerical experiments are then presented to demonstrate the quality of the solution and the speed of convergence.