• DocumentCode
    2384875
  • Title

    Service Level Agreement based Allocation of Cluster Resources: Handling Penalty to Enhance Utility

  • Author

    Yeo, Chee Shin ; Buyya, Rajkumar

  • Author_Institution
    Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Vic.
  • fYear
    2005
  • fDate
    Sept. 2005
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Jobs submitted into a cluster have varying requirements depending on user-specific needs and expectations. Therefore, in utility-driven cluster computing, cluster resource management systems (RMSs) need to be aware of these requirements in order to allocate resources effectively. Service level agreements (SLAs) can be used to differentiate different value of jobs as they define service conditions that the cluster RMS agrees to provide for each different job. The SLA acts as a contract between a user and the cluster whereby the user is entitled to compensation whenever the cluster RMS fails to deliver the required service. In this paper, we present a proportional share allocation technique called LibraSLA that takes into account the utility of accepting new jobs into the cluster based on their SLA. We study how LibraSLA performs with respect to several SLA requirements that include: (i) deadline type whether the job can be delayed, (ii) deadline when the job needs to be finished, (iii) budget to be spent for finishing the job, and (iv) penalty rate for compensating the user for failure to meet the deadline
  • Keywords
    client-server systems; resource allocation; workstation clusters; LibraSLA; cluster resource allocation; cluster resource management system; service level agreement; share allocation; utility-driven cluster computing; Admission control; Computer science; Contracts; Delay; Finishing; Grid computing; Laboratories; Quality of service; Resource management; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing, 2005. IEEE International
  • Conference_Location
    Burlington, MA
  • ISSN
    1552-5244
  • Print_ISBN
    0-7803-9486-0
  • Electronic_ISBN
    1552-5244
  • Type

    conf

  • DOI
    10.1109/CLUSTR.2005.347075
  • Filename
    4154118