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基于内容的发布/订阅模型中高效的匹配算法

Efficient Matching Algorithm in Content-based Publish/subscribe Model

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【作者】 张彩云康亚男成汝震

【Author】 ZHANG Cai-yun,KANG Ya-nan,CHENG Ru-zhen (College of Mathematics and Information Science,Hebei Normal University,Hebei Shijiazhuang 050016,China)

【机构】 河北师范大学数学与信息科学学院

【摘要】 高效的匹配算法是大规模基于内容的发布订阅系统所要研究的热点问题之一.提出了一种快速有效的算法,算法根据逻辑表达式的特点,对所有订阅按照优先级进行预处理操作,使相同属性的比较次数小于等于1次,从而降低了匹配的代价.适合应用于大规模分布式基于内容的发布订阅系统中.

【Abstract】 A key issue when designing and implementing large-scale content-based publish/subscribe systems is how to efficiently match high volumes of events against large numbers of subscription.A fast and efficient algorithm is presented,according to the characteristic of logical expression,this algorithm makes pretreatment with all the subscription by the priority,in this way,the comparison of the same attributes is one time or less than one time,there by reducing the cost of matching.Experiment proves that it is more efficient than other commonly used algorithms,and has good expansibility,suits large-scale distributed content-based publish/subscribe system.

【基金】 河北省教育厅基金(2004361);河北师范大学自然科学基金(120128)
  • 【文献出处】 河北师范大学学报(自然科学版) ,Journal of Hebei Normal University(Natural Science Edition) , 编辑部邮箱 ,2009年04期
  • 【分类号】TP301.6
  • 【被引频次】8
  • 【下载频次】156
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