{"title":"The Influence of Independent Scheduling Delay on Multi-Query Processing Based on Fork-Join","authors":"Yong Wang, Limei Jiao, Y. Liu, Huaiming Song","doi":"10.1109/AMS.2008.79","DOIUrl":null,"url":null,"abstract":"Fork-join is a basic query processing model in shared-nothing parallel database systems. A query Q is decomposed into a number of sub-queries, and each of which is processed independently on a processing element(PE), then all the results of sub-queries are \"joined\" and returned as Q's results. In this scheme, the query processing time of Q depends on the time of its last finished sub-query. Though it is very important, there are few works studied the performance of multi-query processing on Fork-join model. In this paper, we present a model, called CSD(coefficient of scheduling distance), to evaluate the influence of independent PE scheduling on the total completion time . All the experiments are conducted on DBroker, a large-scale production system for network security management. The experimental results show that the CSD model is accurate and effective.","PeriodicalId":122964,"journal":{"name":"2008 Second Asia International Conference on Modelling & Simulation (AMS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Second Asia International Conference on Modelling & Simulation (AMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2008.79","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fork-join is a basic query processing model in shared-nothing parallel database systems. A query Q is decomposed into a number of sub-queries, and each of which is processed independently on a processing element(PE), then all the results of sub-queries are "joined" and returned as Q's results. In this scheme, the query processing time of Q depends on the time of its last finished sub-query. Though it is very important, there are few works studied the performance of multi-query processing on Fork-join model. In this paper, we present a model, called CSD(coefficient of scheduling distance), to evaluate the influence of independent PE scheduling on the total completion time . All the experiments are conducted on DBroker, a large-scale production system for network security management. The experimental results show that the CSD model is accurate and effective.