Adaptive resource management for flow-based IP/ATM hybrid switching systems

This paper proposes a novel approach for adaptive flow classification for flow-based hybrid switching systems to match the time varying traffic/resource characteristics. It minimizes the maximum of the system resource utilizations associated with packet processing power, signalling capacity and routing table size. After formulating the proposed flow adaptation as a min-max stochastic control problem, a heuristic algorithm is developed. The simulation study based on real traces shows the viability of the proposed flow adaptation for dynamic resource management in hybrid switching system design. The algorithm is simple to implement and only requires the adaptation of two global variables at time intervals of every few seconds based on the present usage of resources.