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A Performance Evaluation of Resilient Server with a Self-Repair Network Model

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Abstract

One of the essential parts of the cloud infrastructure is a computer server. Therefore, we need to preserve the computer server from failure, such as hang, denial of service and malware. Today, the data center (a collection of computer servers) has been shifting from traditional to an era of virtualization technology. Since we use virtualization for our server, a popular technique to monitor our server condition is Virtual Machine Introspection (VMI). There are two types of VMI: in-VMI and out-VMI. This paper presents the performance evaluation of a resilient server that we built by combining virtualization technology and a self-repair network model in which represents the in-VMI. The experiment results revealed that the performance of our proposed method has low performance losses and high service availability.

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Notes

  1. https://github.com/llaera/slowloris.pl

  2. https://www.clamav.net

  3. https://github.com/kdlucas/byte-unixbench

  4. https://github.com/shekyan/slowhttptest

  5. http://www.cvedetails.com/cve/CVE-2007-6750/

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Acknowledgments

This study has been supported by DIKTI (Directorate General of Higher Education, Indonesia) under contract number 242.7/E4.4/2014.

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Authors and Affiliations

  1. Department of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya, Kampus PENS, Jl. Raya ITS Sukolilo, Surabaya, 60111, Indonesia

    Idris Winarno

  2. Department of Computer Science and Engineering, Toyohashi University of Technology, Tenpaku, Toyohashi, 441-8580, Japan

    Yoshiteru Ishida

  3. Department of Information Network and Communication, Kanagawa Institute of Technology, 1030 Shimo-ogino, Atsugi, Kanagawa, 243-0292, Japan

    Takeshi Okamoto

Authors
  1. Idris Winarno
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  2. Yoshiteru Ishida
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  3. Takeshi Okamoto
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Correspondence to Idris Winarno.

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Winarno, I., Ishida, Y. & Okamoto, T. A Performance Evaluation of Resilient Server with a Self-Repair Network Model. Mobile Netw Appl 24, 1095–1103 (2019). https://doi.org/10.1007/s11036-018-1103-2

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  • DOI: https://doi.org/10.1007/s11036-018-1103-2

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