• DocumentCode
    650662
  • Title

    A Proactive Cloud Management Architecture for Private Clouds

  • Author

    Dapeng Dong ; Herbert, J.

  • Author_Institution
    Dept. of Comput. Sci., Univ. Coll. Cork, Cork, Ireland
  • fYear
    2013
  • fDate
    June 28 2013-July 3 2013
  • Firstpage
    701
  • Lastpage
    708
  • Abstract
    Operation management for a private cloud infrastructure faces many challenges including efficient resource allocation, load-balancing, and quick response to real-time workload changes. Traditional manual IT operation management is inadequate for this highly dynamic and complex environment. This work presents a distributed service architecture which is designed to provide an automated, shared, off-site operation management service for private clouds. The service architecture incorporates important concepts such as: Metric Templates for minimising the network overhead for transmission of cloud metrics, a Cloud Snapshot that provides a global view of the current status of the cloud, supporting optimal decision making, and a Calendar-based Data Storage Model to reduce the storage required for cloud metric data and increase analysis performance. A proactive response to cloud events is generated based on statistical analysis of historical metrics and predicted usage. The architecture, functional components and operation management strategies are described. A prototype implementation of the proposed architecture was deployed as a service on the IBM SmartCloud. The effectiveness and usability of the proposed proactive operation management solution has been comprehensively evaluated using a simulated private cloud with dynamic workloads.
  • Keywords
    cloud computing; decision making; statistical analysis; storage management; IBM SmartCloud; calendar-based data storage model; cloud events; cloud metrics transmission; cloud snapshot; distributed service architecture; dynamic workloads; historical metrics statistical analysis; load-balancing; metric templates; operation management; optimal decision making; performance analysis; private cloud infrastructure; proactive cloud management architecture; real-time workload change; resource allocation; usage prediction; Cloud computing; Data models; Engines; Mathematical model; Measurement; Monitoring; Servers; Architecture; Cloud; Operation Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5028-2
  • Type

    conf

  • DOI
    10.1109/CLOUD.2013.19
  • Filename
    6676759