ARAS-M: Automatic Resource Allocation Strategy based on Market Mechanism in Cloud Computing

Resource management is one of the main issues in Cloud Computing. In order to improve resource utilization of large Data Centers while delivering services with higher QoS to Cloud Clients, an automatic resource allocation strategy based on market Mechanism ( A RAS-M) is proposed. Firstly, the architecture and the market model of A RAS-M are constructed, in which a QoS-refectitive utility function is designed according to different resource requirements of Cloud Client . T he equilibrium state of A RAS-M is defined and the proof of its optimality is given. Secondly, A Genetic Algorithm (GA) -based automatic price adjusting algorithm is introduced to deal with the problem of achieving the equilibrium state of A RAS-M. Finally, A RAS-M is implemented on Xen. Experiment results show that A RAS-M can approximately achieve the equilibrium state, that is, demand and supply is nearly balanced, which validate s that A RAS-M is effective and practicable , and is capable of achieving resource balance in cloud computing .