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    Cloud Virtual Machine scheduling: modelling the Cloud Virtual Machine instantiation

    Sotiriadis, S. and Bessis, N. and Xhafa, F. and Antonopoulos, N. (2012) Cloud Virtual Machine scheduling: modelling the Cloud Virtual Machine instantiation. In: UNSPECIFIED (ed.) Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on. IEEE, pp. 233-240. ISBN 9781467312332.

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    Abstract

    Cloud computing provides an efficient and flexible means for various services to meet the diverse and escalating needs of IT end-users. It offers novel functionalities including the utilization of remote services in addition to the virtualization technology. The latter feature offers an efficient method to harness the cloud power by fragmenting a cloud physical host in small manageable virtual portions. As a norm, the virtualized parts are generated by the cloud provider administrator through the hyper visor software based on a generic need for various services. However, several obstacles arise from this generalized and static approach. In this paper, we study and propose a model for instantiating dynamically virtual machines in relation to the current job characteristics. Following, we simulate a virtualized cloud environment in order to evaluate the model's dynamic-ness by measuring the correlation of virtual machines to hosts for certain job variations. This will allow us to compute the expected average execution time of various virtual machines instantiations per job length.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): cloud computing, processor scheduling, virtual machines, virtualisation, IT end-users, average execution time, cloud computing, cloud physical host, cloud power, cloud provider administrator, cloud virtual machine instantiation, cloud virtual machine scheduling, hyper visor software, job characteristics, job variations, manageable virtual portions, remote services, virtualization technology, virtualized cloud environment, virtualized parts, Cloud computing, Computational modeling, Dynamic scheduling, Processor scheduling, Virtual machine monitors, Virtual machining, Cloud, Static and dynamic Virtual Machine scheduling, Virtual Machine instantiation, Virtualization
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 11 Jun 2018 09:59
    Last Modified: 30 Jul 2019 01:01
    URI: http://eprints.bbk.ac.uk/id/eprint/21917

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