ARAS-M: Automatic resource allocation strategy based on market mechanism in cloud computing

作者：You Xindong^*; Wan Jian; Xu Xianghua; Jiang Congfeng; Zhang Wei; Zhang Jilin

来源：Journal of Computers, 2011, 6(7): 1287-1296.

DOI：10.4304/jcp.6.7.1287-1296

• Demand and supply
• Equilibrium state
• Large data
• Market mechanisms
• Market model
• Optimality
• Price-adjusting
• Resource allocation strategies
• Resource management
• Resource requirements
• Resource utilizations
• Utility functions

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 (ARAS-M) is proposed. Firstly, the architecture and the market model of ARAS-M are constructed, in which a QoS-refectitive utility function is designed according to different resource requirements of Cloud Client. The equilibrium state of ARAS-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 ARAS-M. Finally, ARAS-M is implemented on Xen. Experiment results show that ARAS-M can approximately achieve the equilibrium state, that is, demand and supply is nearly balanced, which validates that ARAS-M is effective and practicable, and is capable of achieving resource balance in cloud computing.

• 出版日期2011