Towards a client-side QoS monitoring and assessment using Generalized Pareto Distribution in a cloud-based environment

Ammar Kamel, Ala Al-Fuqaha, Dionysios Kountanis, Issa Khalil

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    Recently, cloud computing and cloud-based services have been gaining a lot of momentum due to their cost effectiveness. Assuring Quality-of-Service (QoS) guarantees to the cloud's mobile clients is an important and unavoidable problem especially for delay sensitive application like VoIP. In this paper, we propose a novel approach for the early detection of cloud service degradations. The proposed algorithms employ the Generalized Pareto Distribution (GPD) approach to converge to a precise QoS model based on collected delay measurements from the cloud's mobile clients. Our experimental results demonstrate the usefulness of the proposed techniques and their ability to perform early detection of performance degradation of the cloud's infrastructure and its hosted services.

    Original languageEnglish
    Title of host publication2013 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2013
    Pages123-128
    Number of pages6
    DOIs
    Publication statusPublished - 2013
    Event2013 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2013 - Shanghai, China
    Duration: Apr 7 2013Apr 10 2013

    Publication series

    Name2013 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2013

    Other

    Other2013 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2013
    Country/TerritoryChina
    CityShanghai
    Period4/7/134/10/13

    Keywords

    • Extreme Value Theorem
    • Extreme Values
    • Generalized Extreme Value
    • Generalized Pareto Distribution
    • Peak over Threshold
    • Quality of Service

    ASJC Scopus subject areas

    • Computer Networks and Communications

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