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    Response time for cloud computing providers

    154091_154091.pdf (1.272Mb)
    Access Status
    Open access
    Authors
    Alhamad, Mohammed
    Dillon, Tharam S.
    Wu, Chen
    Chang, Elizabeth
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Alhamad, Mohammed and Dillon, Tharam S. and Wu, Chen and Chang, Elizabeth. 2010. Response time for cloud computing providers, in Kotsis, G. and Taniar, D. and Pardede, E. and Saleh, I. and Khalil, I. (ed), 12th International Conference on Information Integration and Web-based Applications & Services (iiWAS2010), Nov 8 2010, pp. 601-604. Paris, France: Association for Computing Machinery (ACM).
    Source Title
    Proceedings of the 12th international conference on information integration and web-based applications & services (iiWAS2010)
    Source Conference
    12th International Conference on Information Integration and Web-based Applications & Services (iiWAS2010)
    DOI
    10.1145/1967486.1967579
    ISBN
    9783854032724
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    Remarks

    © ACM, 2010. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the 12th International Conference on Information Integration and Web-based Applications & Services, ISBN: 978-1-4503-0421-4, iiWAS 2010. <a href="http://dx.doi.org/10.1145/1967486.1967579">http://dx.doi.org/10.1145/1967486.1967579</a>

    URI
    http://hdl.handle.net/20.500.11937/6014
    Collection
    • Curtin Research Publications
    Abstract

    Cloud services are becoming popular in terms of distributed technology because they allow cloud users to rent well-specified resources of computing, network, and storage infrastructure. Users pay for their use of services without needing to spend massive amounts for integration, maintenance, or management of the IT infrastructure. This creates the need for a reliable measurement methodology of the scalability for this type of new paradigm of services. In this paper, we develop performance metrics to measure and compare the scalability of the resources of virtualization on the cloud data centres. First, we discuss the need for a reliable method to compare the performance of cloud services among a number of various services being offered. Second, we develop a different type of metrics and propose a suitable methodology to measure the scalability using these types of metrics. We focus on the visualization resources such as CPU, storage disk, and network infrastructure. Finally, we compare well-known cloud providers using the proposed approach and conclude the recommendations. This type of research will help cloud consumers, before signing any official contract to use the desired services, to ascertain the ability and capacity of the cloud providers to deliver a particular service.

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