SsCloud: A Smart Storage for Distributed DaaS on the Cloud

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

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

    Abstract

    DaaS (Data-as-a-Service) is an important model of the cloud. As DaaS provides clients with the ability to view and download data from cloud providers, the service must ensure speed, reliability, and cost effectiveness. An important research question pertaining to providing DaaS is how to improve the download time by using parallelism and efficient load balancing techniques. Other research focus on optimizing the storage consumed by the DaaS cloud providers. In this paper, we provide a solution to both issues by increasing the effectiveness of the dual direction load balancing technique using higher replication and optimizing the storage consumed by a smart self-controlled technique (ssCloud) for removing the redundant data from each cloud server. We elaborate on the design of this technique and how it can be applied on the cloud.

    Original languageEnglish
    Title of host publicationProceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015
    EditorsCalton Pu, Ajay Mohindra
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1049-1052
    Number of pages4
    ISBN (Electronic)9781467372879
    DOIs
    Publication statusPublished - Aug 19 2015
    Event8th IEEE International Conference on Cloud Computing, CLOUD 2015 - New York, United States
    Duration: Jun 27 2015Jul 2 2015

    Publication series

    NameProceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015

    Other

    Other8th IEEE International Conference on Cloud Computing, CLOUD 2015
    Country/TerritoryUnited States
    CityNew York
    Period6/27/157/2/15

    Keywords

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

    ASJC Scopus subject areas

    • Computer Networks and Communications

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