International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press

OPEN ACCESS
4.0
CiteScore

IJIET 2017 Vol.9(4): 290-293
doi: 10.7763/IJCTE.2017.V9.1154

Docker in Online Education: Have the Near-native Performance of CPU, Memory and Network?

Basheer Riskhan , Raza Muhammad

  • Department of Computer Science, Huazhong University of Science and Technology, Wuhan, China.

Abstract

Advent of the cloud computing revolution, Docker technology becomes the crucial part of the virtualization in terms of high resource utilization, less overheads and better performance. Docker is evaluated by using Online Education system based on various extended level of users and extended level of Dockers by using Physical Machine and Linux benchmarking tools. CPU, Memory and Network resources are used as experimental variables. Finally a details analyst compare among the user level and Docker level. As a result, we conclude Docker has the near native performance during the usage of OE system, archived high resource utilization in single Docker by accessing more user as compare to more Dockers by accessing more users.

Keywords

  • Docker
  • performance
  • online education system
1154-TS2005

How to Cite

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Basheer Riskhan and Raza Muhammad, "Docker in Online Education: Have the Near-native Performance of CPU, Memory and Network?," International Journal of Computer Theory and Engineering, vol. 9, no. 4, pp. 290-293, 2017. https://doi.org/10.7763/IJCTE.2017.V9.1154

Copyright & License

Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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