{"title":"A distribute Reduce Side Join algorithm","authors":"Shengchen Xiao, ShengqiYang, Jian He, Zhangqin Huang","doi":"10.1109/CCIOT.2016.7868296","DOIUrl":null,"url":null,"abstract":"In this paper, aiming at overcoming the shortcomings of traditional RSJ (Reduce Side Join) algorithm based on MapReduce framework model, an optimized algorithm is proposed to increase the efficiency of the RSJ by using DistributeCache. The idea of Bit-map algorithm is adopted in this algorithm. Specifically, it extracts and compresses the connection attributes of one of the tables to make a “background” data before executing the traditional RSJ algorithm. The algorithm uses DistributeCache to spread it to various nodes. The “background” data is able to filter out the information which is independent from the records in the table, therefore both the network communication and computation cost are decreased, which increases the efficiency of RSJ.","PeriodicalId":384484,"journal":{"name":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIOT.2016.7868296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, aiming at overcoming the shortcomings of traditional RSJ (Reduce Side Join) algorithm based on MapReduce framework model, an optimized algorithm is proposed to increase the efficiency of the RSJ by using DistributeCache. The idea of Bit-map algorithm is adopted in this algorithm. Specifically, it extracts and compresses the connection attributes of one of the tables to make a “background” data before executing the traditional RSJ algorithm. The algorithm uses DistributeCache to spread it to various nodes. The “background” data is able to filter out the information which is independent from the records in the table, therefore both the network communication and computation cost are decreased, which increases the efficiency of RSJ.
本文针对传统基于MapReduce框架模型的RSJ (Reduce Side Join)算法的不足,提出了一种利用DistributeCache来提高RSJ算法效率的优化算法。该算法采用了位图算法的思想。具体来说,在执行传统的RSJ算法之前,它提取并压缩其中一个表的连接属性,使其成为“后台”数据。该算法使用DistributeCache将其扩散到各个节点。“后台”数据能够过滤出与表中记录无关的信息,从而降低了网络通信和计算成本,提高了RSJ的效率。