Predicting hot-spots in distributed cloud databases using association rule mining

Joarder Mohammad Mustafa Kamal, Manzur Murshed, Mohamed Medhat Gaber

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
    Original languageEnglish
    Title of host publicationProceedings - 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, UCC 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages800-805
    Number of pages6
    ISBN (Electronic)9781479978816
    DOIs
    Publication statusPublished (VoR) - 29 Jan 2014
    Event7th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2014 - London, United Kingdom
    Duration: 8 Dec 201411 Dec 2014

    Publication series

    NameProceedings - 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, UCC 2014

    Conference

    Conference7th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2014
    Country/TerritoryUnited Kingdom
    CityLondon
    Period8/12/1411/12/14

    Keywords

    • Association rule mining
    • Distributed database
    • Hot-spots
    • Partitioning
    • Workload

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