面向大数据处理的分布式计算自动化平台研究

Nadezhda F. Bahareva, Y. Ushakov, M. Ushakova, D. Parfenov, L. Legashev, I. Bolodurina
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引用次数: 1

摘要

本文致力于研究部署云基础设施的方法的有效性,以创建基于云基础设施的分布式计算自动化大数据处理平台。提出了基于Docker Swarm和Kubernetes集群的Hadoop、Spark架构的部署方案。此外,还制定了评估大数据处理分布式计算自动化平台有效性的标准,并进行了实验研究。
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Researching a Distributed Computing Automation Platform for Big Data Processing
This paper is devoted to the study of the effectiveness of methods for deploying cloud infrastructures to create a distributed computing automation platform for big data processing based on cloud infrastructures. Deployment schemes for Hadoop, Spark architecture based on Docker Swarm and Kubernetes clusters are presented. Also, the development of criteria for evaluating the effectiveness of the distributed computing automation platform for big data processing and an experimental study were carried out.
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