{"title":"云计算环境下ECB框架中K-means聚类的实现","authors":"Stobak Dutta, S. Sengupta","doi":"10.1109/CONFLUENCE.2017.7943165","DOIUrl":null,"url":null,"abstract":"In today's scenario Cloud computing technology has emerged to manage large data sets efficiently. Large amount of data is created everyday now a days hence there is a demand of running data mining algorithm on very large data sets. As there is recent fast increase in number of clouds and their services Cloud computing technology has gained more importance. To perform data mining it is required to merge distributed data and perform mining algorithm in it. This paper presents a way to implement K-Means clustering algorithm for service discovery in the Enterprise Cloud Bus architecture.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"9 1","pages":"293-297"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Implementation of K-means clustering in ECB framework of cloud computing environment\",\"authors\":\"Stobak Dutta, S. Sengupta\",\"doi\":\"10.1109/CONFLUENCE.2017.7943165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today's scenario Cloud computing technology has emerged to manage large data sets efficiently. Large amount of data is created everyday now a days hence there is a demand of running data mining algorithm on very large data sets. As there is recent fast increase in number of clouds and their services Cloud computing technology has gained more importance. To perform data mining it is required to merge distributed data and perform mining algorithm in it. This paper presents a way to implement K-Means clustering algorithm for service discovery in the Enterprise Cloud Bus architecture.\",\"PeriodicalId\":6651,\"journal\":{\"name\":\"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence\",\"volume\":\"9 1\",\"pages\":\"293-297\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONFLUENCE.2017.7943165\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONFLUENCE.2017.7943165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of K-means clustering in ECB framework of cloud computing environment
In today's scenario Cloud computing technology has emerged to manage large data sets efficiently. Large amount of data is created everyday now a days hence there is a demand of running data mining algorithm on very large data sets. As there is recent fast increase in number of clouds and their services Cloud computing technology has gained more importance. To perform data mining it is required to merge distributed data and perform mining algorithm in it. This paper presents a way to implement K-Means clustering algorithm for service discovery in the Enterprise Cloud Bus architecture.