An evaluation of Cassandra NoSQL database on a low-power cluster

2021 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2021-10-01 DOI:10.1109/sbac-padw53941.2021.00012

Lucas B. da Silva, J. F. Lima

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引用次数: 2

Abstract

The constant growth of social media, unconventional web technologies, mobile applications, and Internet of Things (IoT) devices, create challenges for cloud data systems in order to support huge datasets and very high request rates. NoSQL distributed databases such as Cassandra have been used for unstructured data storage and to increase horizontal scalability and high availability. In this paper, we evaluated Cassandra on a low-power low-cost cluster of commodity Single Board Computers (SBC). The cluster has 15 Raspberry Pi v3 nodes with Docker Swarm orchestration tool for Cassandra service deployment and ingress load balancing over SBCs. Experimental results demonstrated that hardware limitations impacted workload throughput, but read and write latencies were comparable to results from other works on high-end or virtualized platforms. Despite the observed limitations, the results show that a low-cost SBC cluster can support cloud serving goals such as scale-out, elasticity and high availability.

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Cassandra NoSQL数据库在低功耗集群上的性能评估

社交媒体、非常规网络技术、移动应用程序和物联网(IoT)设备的不断发展，为云数据系统支持庞大的数据集和非常高的请求率带来了挑战。NoSQL分布式数据库(如Cassandra)已被用于非结构化数据存储，并增加水平可伸缩性和高可用性。在本文中，我们在低功耗低成本的商用单板计算机(SBC)集群上对Cassandra进行了评估。集群有15个Raspberry Pi v3节点，使用Docker Swarm编排工具，用于Cassandra服务部署和sbc的入口负载均衡。实验结果表明，硬件限制会影响工作负载吞吐量，但读写延迟与高端平台或虚拟化平台上的其他工作的结果相当。尽管存在观察到的限制，但结果表明，低成本SBC集群可以支持云服务目标，如横向扩展、弹性和高可用性。

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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2021 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)

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