基于同时向上叫价拍卖的云资源分配方法与竞价策略

针对云资源的特点，基于微观经济学方法和支持向量回归机算法，提出了一种云资源分配方法与竞价策略.首先，采用块状能力来描述买方需求、卖方资源.然后，建立云资源系统框架，根据各个买方资源交易历史记录基于支持向量回归机算法来预测各个买方的竞价信息.在此基础上，利用非完全信息纳什均衡理论，设计了同时向上叫价拍卖和用户竞价策略，确定了最终成交价格，并根据成交价格来分配云资源.仿真结果表明，所提出的云资源分配方法和策略是可行和有效的.

Cloud Resource Allocation Method and Bidding Strategy Based on Simultaneous Upward Bidding Auction

On account of the characteristics of cloud resources, a cloud resource allocation method and bidding strategy were proposed on the basis of the microeconomic method and support vector regression method. Firstly, the block ability was used to describe buyer demand and seller resources. Secondly, the system architecture of cloud resource was constructed, and according to the resource transaction history of each buyer, their bidding price was predicted by using support vector regression method. Based on the above, according to Nash equilibrium theory of incomplete information, simultaneous upward bidding auction was designed, and the final transaction price was formed. What's more, cloud resources were allocated by the final transaction price. Simulation results showed that the proposed method and strategy were feasible and effective.