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CBR-based network performance management with multi-agent approach

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Abstract

Nowadays, with the growth of heterogeneity of network equipment and software, and involved a variety of advanced network technology, the complexity of computer network have rapidly increased. Especially demands for high-performance network service in advanced data-intensive scientific research are dramatically increased. In order to cope with the network performance issue, this paper proposes the end-to-end (ETE) network performance management framework based on case-based reasoning with the case library and multi-agent integrated with perfSONAR as well as large-scale network flow monitoring. It provides a sophisticated framework for both network operator and user to systemically identify ETE network performance issues that are detected, diagnosed and recovered. The real cases are modeled and implemented into the casebase in the real experimental environment, a national research network of Korea. To verify the proposed framework, validation of the cases in the casebase is demonstrated.

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Authors and Affiliations

  1. KREONET Operation and Service, Korea Institute of Science and Technology Information, Daejeon, 305806, Korea

    Buseung Cho

  2. Department of Convergence Security, Kyonggi University, Suwon, Korea

    Kuinam J. Kim

  3. College of Information & Communication Engineering, Sungkyunkwan University, Suwon, Korea

    Jin-Wook Chung

Authors
  1. Buseung Cho
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  2. Kuinam J. Kim
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  3. Jin-Wook Chung
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Correspondence to Jin-Wook Chung.

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Cho, B., Kim, K.J. & Chung, JW. CBR-based network performance management with multi-agent approach. Cluster Comput 20, 757–767 (2017). https://doi.org/10.1007/s10586-017-0762-2

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  • DOI: https://doi.org/10.1007/s10586-017-0762-2

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