摘要
针对网格环境下分布式异步动态调价算法存在均衡价格收敛过程缓慢、调价效率较低的缺点,提出了一种基于市场机制的非线性调价算法。该算法结合了当前超额需求和过去超额需求对资源价格变化的影响,较真实地刻画了需求变化后资源价格的波动过程。实验证明,非线性的调价算法明显地提高了价格收敛速度,降低了调价次数。
As the disadvantages of distributed asynchronous dynamic pricing algorithm such as slow convergence to equilibrium price and very low pricing efficiency in grid environment, this paper proposed a market-based nonlinear distributed pricing algorithm. Considering the influence of both the current and former excess demand on resource price, the new algorithm truly described the fluctuating process of resource price according to the changes of the demand for resources. The experiment results indicate that the nonlinear algorithm obviously boosts the rate of price convergence and reduces the times of pricing.
出处
《计算机应用研究》
CSCD
北大核心
2008年第3期692-694,714,共4页
Application Research of Computers
基金
国家“973”计划资助项目(5130103)
国家“863”计划资助项目(2005AA121120)
关键词
网格计算
市场机制
分布式调价
非线性
grid computing
market mechanism
distributed pricing
nonlinear
