Optimizing Long-term IaaS Service Composition

Sajib Mistry, Athman Bouguettaya, Hai Dong, A. Kai Qin

Abstract: We propose a new economic model based optimization approach to compose an optimal set of infrastructure service requests over a long-term period. The service requests have the features of variable arrival time and dynamic resource and QoS requirements. A new economic model is proposed that incorporates dynamic pricing and operation cost modeling of the service requests. A genetic optimization approach is incorporated in the economic model that generates dynamic global solutions considering the runtime behavior of service requests. Experimental results prove the feasibility of the proposed approach.