Adaptive service allocation in networking and Cloud computing

Service-oriented computing is an emerging commercial infrastructure paradigm, which lightens the burden of maintaining expensive computing facilities by customers. Through the virtualization and consolidation of resources, multiple networking-based technology services are implemented. However, service-oriented network virtualization for supporting Cloud computing suffered from system un-stability. This paper describes a novel adaptive method for the convergence for service-oriented network, by using Internal Model Control, which is capable of operating efficiently under traffic bursting conditions. According to the proposed scheme, the oscillation and delay induced by highly stochastic behavior of computing systems may be bated, which may create great degradation in service level management. Our results indicate that a superior performance of the proposed scheme in term of system stability for service in networking and Cloud computing.