Stochastic Model Generation for Cloud Infrastructure Planning

Over the last years, the evaluation of cloud computing infrastructures has received considerable attention as a prominent activity for improving service quality as well as planning modifications in an existing infrastructure. This paper presents Stochastic Model Generator for Cloud Infrastructure Planning (SMG4CIP), a automatic generation system of stochastic models for cloud infrastructure planning. This system indicates feasible cloud infrastructures according to dependability and cost requirements. The proposed system adopts a technique based on GRASP metaheuristic in order to recommend optimized cloud infrastructures. Furthermore, SMG4CIP adopts stochastic models, such as Petri Net and Reliability Block Diagram, to evaluate dependability and cost metrics. A case study based on Electronic Funds Transfer (EFT) system is adopted to demonstrate the feasibility of the proposed system.