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Detection and mitigation of abnormal traffic behaviour in autonomic networked environments.

Marnerides, Angelos and Pezaros, Dimitrios P. and Hutchison, David (2008) Detection and mitigation of abnormal traffic behaviour in autonomic networked environments. In: CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference. ACM, New York. ISBN 9781605582108

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    Abstract

    Autonomic network environments are required to be resilient. Resilience is defined as the ability for a network to provide and maintain an acceptable level of service in the face of various challenges to normal operation [1]. Traffic abnormalities are a great challenge and it is vital for any network to be supported by resilient mechanisms in order to detect and mitigate such events. In this document we present our measurement-based resilience architecture and we argue that the correct combination of already proposed theoretical methodologies and mechanisms present in our architecture compose a powerful defence mechanism that satisfies autonomic properties such as self-protection and self-optimization. In addition we refer to our intentions of testing our proposed architecture within the ANA project [2] in order to justify our hypothesis.

    Item Type: Contribution in Book/Report/Proceedings
    Uncontrolled Keywords: networkresilience ; anaproject
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 84867
    Deposited By: ep_importer_pure
    Deposited On: 24 Feb 2017 16:10
    Refereed?: No
    Published?: Published
    Last Modified: 23 Oct 2017 02:59
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/84867

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