A workflow scheduling technique for task distribution in spot instance-based cloud

Daeyong Jung, Jong Beom Lim, Heonchang Yu, Joon Min Gil, Eun Young Lee

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

    5 Citations (Scopus)

    Abstract

    The cloud computing is a computing paradigm that users can rent computing resources from service providers as much as they require. A spot instance in cloud computing helps a user to utilize resources with less expensive cost, even if it is unreliable. In this paper, we propose the workflow scheduling scheme that reduces the task waiting time when an instance occurs the out-of-bid situation. And, our scheme executes user's job within selected instances and expands the suggested user budget. The simulation results reveal that, compared to various instance types, our scheme achieves performance improvements in terms of an average execution time of 66.86% over shortest execution time in each task time interval. And, the cost in our scheme is higher than an instance with low performance and is lower than an instance with high performance. Therefore, our scheme is difficult to optimize cost for task execution.

    Original languageEnglish
    Title of host publicationLecture Notes in Electrical Engineering
    PublisherSpringer Verlag
    Pages409-416
    Number of pages8
    Volume280 LNEE
    ISBN (Print)9783642416705
    DOIs
    Publication statusPublished - 2014
    Event8th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2013 - Danang, Viet Nam
    Duration: 2013 Dec 182013 Dec 20

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume280 LNEE
    ISSN (Print)18761100
    ISSN (Electronic)18761119

    Other

    Other8th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2013
    Country/TerritoryViet Nam
    CityDanang
    Period13/12/1813/12/20

    Keywords

    • Cloud computing
    • Fault tolerance
    • Price history
    • Spot instances
    • Workflow

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering

    Fingerprint

    Dive into the research topics of 'A workflow scheduling technique for task distribution in spot instance-based cloud'. Together they form a unique fingerprint.

    Cite this