A self-optimized storage for distributed data as a service

Klaithem Al Nuaimi, Nader Mohamed, Mariam Al Nuaimi, Jameela Al-Jaroodi

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

    Abstract

    In this paper we propose an automated partial replication storage technique for the cloud, which we call ssCloud. We associate this technique with a dual direction load balancing technique using the cloud servers. We show that by having dual direction load balancing and an automated partial replication of the storage we enhance the download speed from the cloud and reduce the cost of storing multiple replicas on multiple cloud nodes. This is done by having two cloud interfaces, one for the download requests from the clients (load balancing module) and another for uploading and splitting files into blocks and saving them on the different cloud servers (FileController). We also compare our approach to other similar approaches and describe the benefits of using ssCloud.

    Original languageEnglish
    Title of host publicationProceedings - 2015 IEEE 24th International Conference on Enabling Technologies
    Subtitle of host publicationInfrastructures for Collaborative Enterprises, WETICE 2015
    EditorsSumitra M. Reddy
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages84-89
    Number of pages6
    ISBN (Electronic)9781467376921
    DOIs
    Publication statusPublished - Aug 12 2015
    Event2015 24th IEEE International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015 - Larnaca, Cyprus
    Duration: Jun 15 2015Jun 17 2015

    Publication series

    NameProceedings - 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015

    Other

    Other2015 24th IEEE International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015
    Country/TerritoryCyprus
    CityLarnaca
    Period6/15/156/17/15

    Keywords

    • Cloud Computing
    • Data Centers
    • Data as a Service
    • Load balancing
    • Network
    • Partial replication
    • QoS
    • Storage optimization
    • Throughput

    ASJC Scopus subject areas

    • Management Information Systems
    • Computer Networks and Communications
    • Computer Science Applications
    • Information Systems

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