Research on the Combined Poly-instance Purchase Decisions in a Cloud Computing Market Based on Clients

Abstract

A client-based cloud computing market polyinstance combination purchase decision model is constructed in this paper. Starting with a single objective constraint model that optimize cost and service time, in which features of different instance types and standards were combined. The proposed model is solved by genetic algorithm. Then, various user’s needs are taken into full consideration by formulating a double objective constraint model to achieve the objective of minimizing the user purchase cost and service time at the same time.