Sushila Maheshkar, Bhavishya Mathur, R. Roushan, Ajay Kumar Mallick
{"title":"Automatic hadoop cluster deployment and management tool","authors":"Sushila Maheshkar, Bhavishya Mathur, R. Roushan, Ajay Kumar Mallick","doi":"10.1109/ICRCICN.2017.8234500","DOIUrl":null,"url":null,"abstract":"With the rapid increase in data and its complexity of configuration and deployment bring a new challenge to the research community. In this scenario, automatic Hadoop cluster deployment and management tool provide a new horizon which plays a vital role in resource and packet management in distributed environment. This paper describes a low-cost Automatic Hadoop Cluster Deployment and Management tool supported with a Web Application. The application is capable of detecting machines in the network as well as setting up the cluster with the results being provided to the user on a Web Interface from where the user could manage the entire cluster intuitively to gain a better user experience. The web application helps the user to control the management of the cluster along with access of the remote systems whenever necessary.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRCICN.2017.8234500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
With the rapid increase in data and its complexity of configuration and deployment bring a new challenge to the research community. In this scenario, automatic Hadoop cluster deployment and management tool provide a new horizon which plays a vital role in resource and packet management in distributed environment. This paper describes a low-cost Automatic Hadoop Cluster Deployment and Management tool supported with a Web Application. The application is capable of detecting machines in the network as well as setting up the cluster with the results being provided to the user on a Web Interface from where the user could manage the entire cluster intuitively to gain a better user experience. The web application helps the user to control the management of the cluster along with access of the remote systems whenever necessary.