Construction of Lightweight Big Data Experimental Platform Based on Dockers Container

Youli Ren
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Youli Ren: Yunnan Land and Resources Vocational College, China

International Journal of Information System Modeling and Design (IJISMD), 2020, vol. 11, issue 3, 100-113

Abstract: To reduce the large data experiment platform construction cost and reduce the learning difficulty big data, this article is based on virtualization technology through the Docker software installed on the Linux system, using the Open VpN routing forwarding, using Java web technology, realizing the big data within the local area network (LAN) cluster environment fleetly, and constructed of lightweight data experiment platform. Through this platform, we can create a big data cluster with one key, provide a variety of experimental environments matching the courses, focus on the technology itself, and greatly improve learning efficiency. Experimental analysis shows that the proposed construction method has a host occupancy rate of around 10% and a memory occupancy rate of around 10%, and the system runs stably.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jismd0:v:11:y:2020:i:3:p:100-113

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