Fault tolerant streaming of live news using multi-node Cassandra

Shubham Dhingra, Shreeya Sharma, Parmeet Kaur, Chetna Dabas
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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.
使用多节点Cassandra的容错流直播新闻
本文提出了一种基于多节点Cassandra作为底层数据存储的Android实时新闻数据流应用程序。这个应用程序是专为现代的用户谁不断希望保持自己跟上最新或趋势新闻与在线媒体的帮助。该应用程序提供访问抽象的日常趋势新闻在各种类别,例如国家,技术,体育,科学等在一个单一的滑动。我们的应用程序使用Apache Cassandra,一个分布式NoSQL数据库管理系统,作为一个数据存储,用于跨4个节点分发新闻相关数据。Cassandra之所以被广泛使用,是因为它能够跨各种商用服务器管理和操作大量数据,并具有高可用性和容错特性。为了测试节点间数据的分布和复制,在实验中有一个或多个节点失败。结果表明,尽管节点出现故障,但仍能成功检索数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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