• DocumentCode
    2157233
  • Title

    Models for efficient data replication in cloud computing datacenters

  • Author

    Boru, Dejene ; Kliazovich, Dzmitry ; Granelli, Fabrizio ; Bouvry, Pascal ; Zomaya, Albert Y.

  • Author_Institution
    CREATE-NET, Via alla Cascata 56/D, Trento, Italy
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    6056
  • Lastpage
    6061
  • Abstract
    Cloud computing is a computing model where users access ICT services and resources without regard to where the services are hosted. Communication resources often become a bottleneck in service provisioning for many cloud applications. Therefore, data replication which brings data (e.g., databases) closer to data consumers (e.g., cloud applications) is seen as a promising solution. In this paper, we present models for energy consumption and bandwidth demand of database access in cloud computing datacenter. In addition, we propose an energy efficient replication strategy based on the proposed models, which results in improved Quality of Service (QoS) with reduced communication delays. The evaluation results obtained with extensive simulations help to unveil performance and energy efficiency tradeoffs and guide the design of future data replication solutions.
  • Keywords
    Bandwidth; Computational modeling; Databases; Delays; Energy consumption; Power demand; Servers; Cloud computing; Data replication; Energy efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7249287
  • Filename
    7249287