• DocumentCode
    2253466
  • Title

    Detecting Workload Hotspots and Dynamic Provisioning of Virtual Machines in Clouds

  • Author

    Challa, Narsimha Reddy

  • Author_Institution
    IBM India Software Labs., IBM India Pvt. Ltd., Hyderabad, India
  • fYear
    2012
  • fDate
    11-12 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    One of the primary goals of Cloud Computing is to provide reliable QoS. The users of the cloud applications may access their applications from any Region. The cloud infrastructure must be Elastic enough to improve the QoS requirements. In order to provide reliable QoS, the cloud infrastructure must be able to detect the potential workload hotspots for various cloud applications across Regions and take appropriate measures. This paper presents an approach to detect workload hotspots using application access pattern based method in the cloud. This paper also presents how the existing VDN based Virtual Machine provisioning approach [1] can be used to provision new Virtual Appliances at the detected hotspots dynamically and efficiently at the potential hotspots to improve the QoS.
  • Keywords
    cloud computing; quality of service; software reliability; virtual machines; QoS; VDN; cloud computing; cloud infrastructure; dynamic provisioning; pattern access; reliability; virtual appliance; virtual machine provisioning approach; workload hotspot detection; Home appliances; Load management; Quality of service; Time factors; Virtual machining; Web servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing in Emerging Markets (CCEM), 2012 IEEE International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4673-4421-0
  • Electronic_ISBN
    978-1-4673-4420-3
  • Type

    conf

  • DOI
    10.1109/CCEM.2012.6354606
  • Filename
    6354606