Using latency as a QoS indicator for global cloud computing services

Jens Myrup Pedersen, M. Tahir Riaz, Bozydar Dubalski, Damian Ledzinski, Joaquim Celestino Júnior, Ahmed Patel

    Research output: Contribution to journalArticle

    10 Citations (Scopus)

    Abstract

    Many globally distributed cloud computing (CC) applications and services running over the Internet, between globally dispersed clients and servers, will require certain levels of QoS in order to deliver and give a sufficiently smooth user experience. This would be essential for real-time streaming multimedia applications such as online gaming and watching movies on a pay as you use basis hosted in a CC environment. However, guaranteeing or even predicting QoS in global and diverse networks that are supporting complex hosting of application services is a very challenging issue that needs a stepwise refinement approach to be solved as the technology of CC matures. In this paper, we investigate if latency in terms of simple ping measurements can be used as an indicator for other QoS parameters such as jitter and throughput. The experiments were carried out on a global scale, between servers placed in universities in Denmark, Poland, Brazil, and Malaysia. The results show the correlation between latency and throughput, and between latency and jitter, even though the results are not completely consistent. As a side result, we were able to monitor the changes in QoS parameters during a number of 24-hour periods. This is also a first step toward defining QoS parameters to be included in service level agreements for CC at the global scale in the foreseeable future. Concurrency and Computation: Practice and Experience, 2013.

    Original languageEnglish
    Pages (from-to)2488-2500
    Number of pages13
    JournalConcurrency Computation Practice and Experience
    Volume25
    Issue number18
    DOIs
    Publication statusPublished - 25 Dec 2013

    Fingerprint

    Cloud computing
    Cloud Computing
    Latency
    Quality of service
    Jitter
    Throughput
    Server
    Servers
    Service Level Agreement
    Malaysia
    Gaming
    Multimedia Applications
    User Experience
    Distributed Computing
    Concurrency
    Streaming
    Monitor
    Refinement
    Real-time
    Internet

    Keywords

    • cloud computing
    • ICT infrastructure
    • QoS
    • service level agreements

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Software
    • Computational Theory and Mathematics
    • Theoretical Computer Science

    Cite this

    Pedersen, J. M., Tahir Riaz, M., Dubalski, B., Ledzinski, D., Júnior, J. C., & Patel, A. (2013). Using latency as a QoS indicator for global cloud computing services. Concurrency Computation Practice and Experience, 25(18), 2488-2500. https://doi.org/10.1002/cpe.3081

    Using latency as a QoS indicator for global cloud computing services. / Pedersen, Jens Myrup; Tahir Riaz, M.; Dubalski, Bozydar; Ledzinski, Damian; Júnior, Joaquim Celestino; Patel, Ahmed.

    In: Concurrency Computation Practice and Experience, Vol. 25, No. 18, 25.12.2013, p. 2488-2500.

    Research output: Contribution to journalArticle

    Pedersen, JM, Tahir Riaz, M, Dubalski, B, Ledzinski, D, Júnior, JC & Patel, A 2013, 'Using latency as a QoS indicator for global cloud computing services', Concurrency Computation Practice and Experience, vol. 25, no. 18, pp. 2488-2500. https://doi.org/10.1002/cpe.3081
    Pedersen JM, Tahir Riaz M, Dubalski B, Ledzinski D, Júnior JC, Patel A. Using latency as a QoS indicator for global cloud computing services. Concurrency Computation Practice and Experience. 2013 Dec 25;25(18):2488-2500. https://doi.org/10.1002/cpe.3081
    Pedersen, Jens Myrup ; Tahir Riaz, M. ; Dubalski, Bozydar ; Ledzinski, Damian ; Júnior, Joaquim Celestino ; Patel, Ahmed. / Using latency as a QoS indicator for global cloud computing services. In: Concurrency Computation Practice and Experience. 2013 ; Vol. 25, No. 18. pp. 2488-2500.
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