{"title":"Match-Ladder:大规模基于内容的发布/订阅系统中一种高效的事件匹配算法","authors":"M. Xu, Pin Lv, Haibo Wang","doi":"10.1109/WSC.2014.7019952","DOIUrl":null,"url":null,"abstract":"To resolve high-performance content-based event matching problem for large-scale publish/subscribe systems, we have focused on how to use some priori knowledge to improve the efficiency. In this paper, by theoretically analyzing the inherent problem of the matching order of predicates, we propose a matching algorithm called Match-Ladder which based on the best matching order. The Match-Ladder can achieve better trade-off between time efficiency and the usage of memory space. It has been verified through both mathematical and simulation-based evaluation.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Match-Ladder: An efficient event matching algorithm in large-scale content-based publish/subscribe system\",\"authors\":\"M. Xu, Pin Lv, Haibo Wang\",\"doi\":\"10.1109/WSC.2014.7019952\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To resolve high-performance content-based event matching problem for large-scale publish/subscribe systems, we have focused on how to use some priori knowledge to improve the efficiency. In this paper, by theoretically analyzing the inherent problem of the matching order of predicates, we propose a matching algorithm called Match-Ladder which based on the best matching order. The Match-Ladder can achieve better trade-off between time efficiency and the usage of memory space. It has been verified through both mathematical and simulation-based evaluation.\",\"PeriodicalId\":446873,\"journal\":{\"name\":\"Proceedings of the Winter Simulation Conference 2014\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Winter Simulation Conference 2014\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WSC.2014.7019952\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Winter Simulation Conference 2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSC.2014.7019952","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Match-Ladder: An efficient event matching algorithm in large-scale content-based publish/subscribe system
To resolve high-performance content-based event matching problem for large-scale publish/subscribe systems, we have focused on how to use some priori knowledge to improve the efficiency. In this paper, by theoretically analyzing the inherent problem of the matching order of predicates, we propose a matching algorithm called Match-Ladder which based on the best matching order. The Match-Ladder can achieve better trade-off between time efficiency and the usage of memory space. It has been verified through both mathematical and simulation-based evaluation.