Shubham Dhingra, Shreeya Sharma, Parmeet Kaur, Chetna Dabas
{"title":"Fault tolerant streaming of live news using multi-node Cassandra","authors":"Shubham Dhingra, Shreeya Sharma, Parmeet Kaur, Chetna Dabas","doi":"10.1109/IC3.2017.8284310","DOIUrl":null,"url":null,"abstract":"The paper presents an Android application for streaming live news data using Multi-node Cassandra as the underlying data store. This application is designed for the modern era's users who constantly wish to keep themselves abreast of the latest or trending news with the help of online media. The application provides access to abstracted day-to-day trending news in various categories, for instance national, technical, sports, science etc. in a single swipe. Our application uses Apache Cassandra, a distributed NoSQL database management system, as a data store for distribution of news related data across 4 nodes. Cassandra has been used due to its capability to manage and manipulate large amounts of data across various commodity servers along with features of high availability and fault tolerance. For testing the distribution and replication of data across the nodes, one or more nodes were failed in the experiments. The results show successful retrieval of data despite node failure.","PeriodicalId":147099,"journal":{"name":"2017 Tenth International Conference on Contemporary Computing (IC3)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Tenth International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2017.8284310","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
The paper presents an Android application for streaming live news data using Multi-node Cassandra as the underlying data store. This application is designed for the modern era's users who constantly wish to keep themselves abreast of the latest or trending news with the help of online media. The application provides access to abstracted day-to-day trending news in various categories, for instance national, technical, sports, science etc. in a single swipe. Our application uses Apache Cassandra, a distributed NoSQL database management system, as a data store for distribution of news related data across 4 nodes. Cassandra has been used due to its capability to manage and manipulate large amounts of data across various commodity servers along with features of high availability and fault tolerance. For testing the distribution and replication of data across the nodes, one or more nodes were failed in the experiments. The results show successful retrieval of data despite node failure.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
