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首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2006) pt.5; 20060508-11; Glasgow(GB) >Resource Demand Prediction-Based Grid Resource Transaction Network Model in Grid Computing Environment
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Resource Demand Prediction-Based Grid Resource Transaction Network Model in Grid Computing Environment

机译：网格计算环境中基于资源需求预测的网格资源交易网络模型

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摘要

This paper reviews existing grid resource transaction models in grid computing environment and proposes an efficient market mechanism-based grid resource transaction model. This model predicts a future grid resource demand of grid users and suggests a reasonable transaction price of each resource to customers and resource providers. The suggestion of transaction price infers the more transactions between customers and providers and reduces a response time after ordering resource. In order to improve accuracy of transaction price prediction, microeconomics-based statistics approach is applied to this grid resource transaction model. For performance evaluation, this paper measures resource demand response time, and number of transactions. This model works on the less 72.39% of response time and the more 162.56% of the number of transactions than those of single auction model and double auction model.
机译：本文回顾了网格计算环境中现有的网格资源交易模型，并提出了一种有效的基于市场机制的网格资源交易模型。该模型预测了网格用户的未来网格资源需求，并向客户和资源提供者建议了每种资源的合理交易价格。交易价格的建议可以推断出客户与提供者之间的交易更多，并减少了订购资源后的响应时间。为了提高交易价格预测的准确性，将基于微观经济学的统计方法应用于该网格资源交易模型。为了评估绩效，本文测量了资源需求响应时间和事务数量。与单拍卖模式和双拍卖模式相比，此模型的响应时间更少，仅为72.39％，交易次数则为162.56％。

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