• DocumentCode
    170388
  • Title

    Venice: Reliable virtual data center embedding in clouds

  • Author

    Qi Zhang ; Zhani, Mohamed Faten ; Jabri, Maissa ; Boutaba, R.

  • Author_Institution
    David R. Cheriton Sch. of Comput. Sci., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2014
  • fDate
    April 27 2014-May 2 2014
  • Firstpage
    289
  • Lastpage
    297
  • Abstract
    Cloud computing has become a cost-effective model for deploying online services in recent years. To improve the Quality-of-Service (QoS) of the provisioned services, recently a number of proposals have advocated to provision both guaranteed server and network resources in the form of Virtual Data Centers (VDCs). However, existing VDC scheduling algorithms have not fully considered the reliability aspect of the allocations in terms of (1) hardware failure characteristics on which the service is hosted, and (2) the impact of individual failures on service availability, given the dependencies among the virtual components. To address this limitation, in this paper we present a technique for computing VDC availability that considers heterogeneous hardware failure rates and dependencies among virtual components. We then propose Venice, an availability-aware VDC embedding framework for achieving high VDC availability and low operational costs. Experiments show Venice can significantly improve VDC availability while achieving higher income compared to availability-oblivious solutions.
  • Keywords
    cloud computing; computer centres; reliability; virtualisation; QoS; VDC scheduling algorithms; Venice; cloud computing; hardware failure characteristics; heterogeneous hardware failure rates; network resources; online services; operational costs; quality-of-service; reliability; reliable virtual data center embedding; Availability; Bandwidth; Conferences; Hardware; Maintenance engineering; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2014 Proceedings IEEE
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2014.6847950
  • Filename
    6847950