{"title":"一种减少减速机相位偏差的方法——区块链算法","authors":"M. Jenifer, B. Bharathi","doi":"10.1109/ICCPCT.2016.7530310","DOIUrl":null,"url":null,"abstract":"The use of digital applications is on the rise nowadays. So the processing of those data is done by a tool calledMapReduce. MapReduce has its own structure which cannot be modified. While processing those data, skew will occur in both map and reduce the phase. Map skew is easy to reduce but in case of reduced phase it may take time to reduce it. So a methodology is being created to reduce the Reducer side skew and time being compared between the new method and MapReduce to find their efficiency.","PeriodicalId":431894,"journal":{"name":"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A method of reducing the skew in reducer phase — Block chain algorithm\",\"authors\":\"M. Jenifer, B. Bharathi\",\"doi\":\"10.1109/ICCPCT.2016.7530310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of digital applications is on the rise nowadays. So the processing of those data is done by a tool calledMapReduce. MapReduce has its own structure which cannot be modified. While processing those data, skew will occur in both map and reduce the phase. Map skew is easy to reduce but in case of reduced phase it may take time to reduce it. So a methodology is being created to reduce the Reducer side skew and time being compared between the new method and MapReduce to find their efficiency.\",\"PeriodicalId\":431894,\"journal\":{\"name\":\"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCPCT.2016.7530310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPCT.2016.7530310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method of reducing the skew in reducer phase — Block chain algorithm
The use of digital applications is on the rise nowadays. So the processing of those data is done by a tool calledMapReduce. MapReduce has its own structure which cannot be modified. While processing those data, skew will occur in both map and reduce the phase. Map skew is easy to reduce but in case of reduced phase it may take time to reduce it. So a methodology is being created to reduce the Reducer side skew and time being compared between the new method and MapReduce to find their efficiency.