ISSN 1000-1239 CN 11-1777/TP

• 软件技术 •

### 基于非完全信息博弈的云资源分配模型

1. 1(东北大学信息科学与工程学院 沈阳 110819);2(东北大学秦皇岛分校 河北秦皇岛 066004) (yuanying1121@gmail.com)
• 出版日期: 2016-06-01
• 基金资助:
国家自然科学基金项目(61300195,61402094)；河北省自然科学基金项目(F2014501078, F2016501079)；辽宁省教育厅科学研究一般项目(L2013099);河北省科技计划项目(15210146)；秦皇岛市科技计划项目(201401A028)；东北大学秦皇岛分校校内基金项目(XNB201607)

### An Uncompleted Information Game Based Resources Allocation Model for Cloud Computing

Yuan Ying1,2, Wang Cuirong2, Wang Cong2, Ren Tingting2, Liu Bingyu2

1. 1(College of Information Science & Engineering, Northeastern University, Shenyang 110819);2(Northeastern University at Qinhuangdao, Qinhuangdao, Hebei 066004)
• Online: 2016-06-01

Abstract: Considering the competing characteristics under multi-tenant environment in cloud computing and aiming to improve the profit of both the resource supply and demand sides, an uncompleted information game based cloud resource allocation model is proposed. Firstly, a hidden Markov model (HMM) is introduced to predict the current bid of service providers based on the historical resource demand. Then a game model for dynamical pricing is established base on the predicted bid value. It can motivate service providers to choose the optimal bidding strategy in accordance with overall interests and so as to achieve maximum benefits. Finally, a resource allocation model on the basis of unit prices of different types of resources is put forward to guarantee optimal gains for infrastructure provider (INP). The allocation model can support synchronous allocation for both multi service providers and various resources. Simulation results show that, in the pricing game model, the predicted price is close to the actual transaction price which is lower than the actual valuation, so it can guarantee the profit of service providers; the resource allocation model can simultaneously increase infrastructure provider’s revenue.