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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109072

    Title: Parallel Processing-Oriented Hybrid Scheduling of Virtual Machines in Cloud
    Authors: Chen, Haibao;Zhao, Yuyan;Zhao, Shenghui;Chen, Guilin
    Keywords: Parallel Processing;Virtualized Environment;Co-scheduling;Cloud
    Date: 2016-09
    Issue Date: 2017-01-03 09:42:19 (UTC+8)
    Publisher: 淡江大學出版中心
    Abstract: In cloud computing environment, parallel applications generally run on symmetric
    multiprocessing (SMP) virtual machine (VM). Since this type of application requires synchronous
    operations between processes/threads, all virtual CPUs (vCPUs) of a parallel VM (i.e., the VM
    running parallel application) should be online simultaneously. At present, relevant studies have been
    intensively conducted from the perspective of vCPU co-scheduling in virtual machine monitor
    (VMM). However, the existing co-scheduling methods have the problems of unrestricted preemptions
    between parallel VMs, which probably results in negative impact on the performance of parallel
    applications in these VMs.
    To address the above problems, in this paper, we first analyze the deficiencies of the existing
    co-scheduling approaches in virtualized environment. Then we propose an enhanced co-scheduling
    algorithm to improve the performance of parallel application in SMP VM.
    Relation: Journal of Applied Science and Engineering 19(3), pp.347-356
    DOI: 10.6180/jase.2016.19.3.13
    Appears in Collections:[Journal of Applied Science and Engineering] v.19 n.3

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