General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
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    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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IJCTE 2017 Vol.9(4): 290-293 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1154

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

Basheer Riskhan and Raza Muhammad

Abstract—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.

Index Terms—Index Terms—Docker, performance, online education system.

Basheer Riskhan and Raza Muhammad are with the Department of Computer Science, Huazhong University of Science and Technology, Wuhan, China (e-mail: riskhan@yahoo.com, razacom_2000@yahoo.com).

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Cite: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.


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