云资源定价策略的设计与实现
esign and Implementation of Pricing Strategy of Cloud
云计算的市场模式逐渐形成并壮大,云资源交易成为云资源提供商和资源需求者实现资源供给和租赁的主要方式。在开放式动态多变的云资源市场中,如何利用价格机制的导向作用合理定价,实现资源合理配置,成为亟待解决的问题。为解决现有的定价机制在公平和效率上存在的问题,本文提出了一种基于连续双向拍卖的动态定价策略。综合考虑成本、供需、时间、质量等因素对价格的影响,分别给出了参考定价策略和代理定价策略两种定价算法,并且设计了云资源交易仿真系统对算法有效性进行了验证。
loud computing market model has begun to form and grow,at the same time, cloud computing resources transactions has become a main way of cloud resources supply and lease between cloud resource providers and demanders. So that how to use the price mechanism guiding role and develop a reasonable price mechanism to achieve a fair trading of resources has become a serious problem,especially in an open dynamically changing cloud market situation.In order to solve the existing problems this papper proposed a dynamic pricing algorithm based on continuous double auction under the premise of analysis of existing cloud resource pricing algorithm. Considering the cost, supply and demand, time, quality and other factors, the pricing formula and pricing algorithm in pseudo-code are given in both case of reference pricing strategy and agent pricing strategy. Cloud Computing trading simulation system has designed to prove the algorithm is fair reasonable and effective.
王友霞、王智立
计算技术、计算机技术
云计算资源交易双向拍卖动态定价
loud computingresource transactionsdouble auctiondynamic pricing
王友霞,王智立.云资源定价策略的设计与实现[EB/OL].(2016-12-22)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201612-444.点此复制
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