• DocumentCode
    2100657
  • Title

    RMORM: A framework of Multi-objective Optimization Resource Management in Clouds

  • Author

    Wenyun Dai ; Haopeng Chen ; Wenting Wang ; Xi Chen

  • Author_Institution
    REINS Group, Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2013
  • fDate
    June 28 2013-July 3 2013
  • Firstpage
    488
  • Lastpage
    494
  • Abstract
    Cloud computing has attracted increasing attention in recent years. With the growth in the number and frequency of applications being deployed into clouds, the burden of resource management of cloud providers is becoming heavier. The resource deployment must satisfy the need about the performance, availability and reliability of applications from the view of clients, but also ensure the high resource utilization of the cloud providers. In this paper, we design a multi-objective serial optimization with priorities approach, named RMORM, to find the resource deployment in clouds rapidly. This approach is of great practical significance and engineering value and scalable to add new constraints.
  • Keywords
    cloud computing; optimisation; resource allocation; RMORM; application availability; application reliability; cloud computing; cloud providers; multiobjective optimization resource management; multiobjective serial optimization; priorities approach; resource deployment; resource utilization; Availability; Computational modeling; Monitoring; Resource management; Servers; Virtual machining; Cloud-computing; Multi-objective; Resource Management; SLA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services (SERVICES), 2013 IEEE Ninth World Congress on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5024-4
  • Type

    conf

  • DOI
    10.1109/SERVICES.2013.85
  • Filename
    6655739