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Docker for optimization of Cassandra NoSQL deployments on node limited clusters

机译:Docker用于优化节点受限集群上的Cassandra NoSQL部署

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摘要

World of computing is witnessing an immense growth in all aspects. Increased usage of internet for communication and the growth of Social Networking led to the invention of NoSQL database technologies capable of handling large amount of structured or unstructured data. Apache Cassandra is such an open source distributed data management system designed to handle large amount of data and is now being widely deployed in production environments. One of the important factors developers look for is cost effective deployment of Cassandra clusters by improving the resource utilization of existing clusters without increasing the number of nodes. In the production environment, only one instance of Cassandra can be deployed on one node of a cluster which can lead to underutilized resources, if high specification servers are used. The cost involved increases as we increase the number of nodes in the cluster. In this paper, we propose a method to deploy an M+n node Cassandra cluster on M servers using Docker containers which allows deployment of multiple Cassandra instances on a single system and prove how effectively it can improve the performance of Cassandra NoSQL database with improved resource utilization without scaling the database into more number of nodes.
机译:计算世界在各个方面都在飞速发展。互联网用于通信的使用增加以及社交网络的发展导致NoSQL数据库技术的发明,该技术能够处理大量结构化或非结构化数据。 Apache Cassandra是一种开放源代码的分布式数据管理系统,旨在处理大量数据,目前已广泛部署在生产环境中。开发人员寻找的重要因素之一是,通过提高现有集群的资源利用率而又不增加节点数量,可以经济高效地部署Cassandra集群。在生产环境中,如果使用高规格服务器,则只能在集群的一个节点上部署Cassandra的一个实例,这会导致资源利用不足。随着我们增加集群中节点的数量,涉及的成本也随之增加。在本文中,我们提出了一种使用Docker容器在M服务器上部署M + n节点Cassandra集群的方法,该方法允许在单个系统上部署多个Cassandra实例,并证明如何通过改进的资源有效地提高Cassandra NoSQL数据库的性能。无需将数据库扩展到更多数量的节点。

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