云环境下基于组合双向拍卖的动态资源定价研究

发布时间：2018-04-19 17:32

本文选题：云计算 + 定价模型　；参考：《中南大学》2012年硕士论文

【摘要】：随着云计算的逐步发展,未来的工作方式和商业模式将会发生根本性的变化。目前云计算环境下的市场交易机制缺乏灵活性,并且绝大多数的企业均采用一种固定比率的定价模型,难以满足用户的不同需求。因此,如何为资源定价、对资源进行分配,成为当前云计算的一个研究热点问题。本文基于对现有相关资源定价方法的深入分析和比较,明晰了各定价方法的优缺点,并对组合双向拍卖模型进行了归纳和总结。针对用户服务的响应时间及预算约束下如何最大化用户和资源提供商的利益问题,提出一种基于组合双向拍卖的动态资源定价模型。模型中用户通过响应时间出价,资源提供商根据负载情况定价。当用户任务的响应时间增大时,用户提高出价；而当资源提供商负载减小时,资源提供商适当降低要价。仿真实验结果显示,本文提出的基于组合双向拍卖的动态资源定价策略与固定比例的定价策略相比,能增加约9%的资源提供商利益和12%的资源利用率。
[Abstract]:With the gradual development of cloud computing, the future work and business model will be fundamentally changed.At present, the market transaction mechanism in cloud computing environment is inflexible, and most enterprises adopt a fixed ratio pricing model, which is difficult to meet the different needs of users.Therefore, how to price and allocate resources has become a hot issue in cloud computing.Based on the in-depth analysis and comparison of the existing resource pricing methods, this paper clarifies the advantages and disadvantages of each pricing method, and summarizes the combined two-way auction model.Aiming at the problem of how to maximize the benefit of users and resource providers under the constraints of response time and budget, a dynamic resource pricing model based on combinatorial bidirectional auction is proposed.In the model, users bid through response time and resource providers price according to load.When the response time of the user task increases, the user raises the bid, and when the load of the resource provider is reduced, the resource provider reduces the asking price appropriately.Simulation results show that the proposed dynamic resource pricing strategy based on combinatorial bidirectional auction can increase the profit of resource provider by about 9% and resource utilization by 12% compared with the fixed proportion pricing strategy.
【学位授予单位】：中南大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TP3;F713.359

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