Docker容器上的MapReduce应用的Twister平台

2016 International Conference on Platform Technology and Service (PlatCon) Pub Date : 2016-02-01 DOI:10.1109/PLATCON.2016.7456834

Yunhee Kang, R. Kim

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引用次数: 1

摘要

Docker是为基于容器技术的敏捷计算资源提供更轻量化的方法之一。由于MapReduce和云容器技术(如Docker)的日益流行，我们选择了这个特定的工具来完成这项工作。本文旨在为容器驱动的云自动配置Twister工作负载。基本上，这是在基于容器的云平台上为许多工作负载自动配置Twister作业的第一次尝试。

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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Twister Platform for MapReduce Applications on a Docker Container

Docker is one of ways to provide more light-weight for agile computing resource based on container technique to handle this problem. For this work we have chosen this specific tool due to the increasing popularity of MapReduce and cloud container technologies such as Docker. This paper aims at automatically configuring Twister workloads for container-driven clouds. Basically this is the first attempt towards automatic configuration of Twister jobs on container-based cloud platform for many workloads.

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2016 International Conference on Platform Technology and Service (PlatCon)

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