• DocumentCode
    2445021
  • Title

    Managing Workload Importance in Enterprise DBMSs

  • Author

    Niu, Baoning ; Xue, Yayan ; Martin, Patrick ; Powley, Wendy

  • Author_Institution
    Sch. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2010
  • fDate
    10-12 Nov. 2010
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    One of the desirable properties of enterprise DBMSs is the ability to manage workloads based on their importance to business. This calls for mechanisms that allow enterprise DBMSs to be able to translate the workload importance into resource allocation plans, which means workload importance must be quantitatively evaluated in order to play its role when enterprise DBMSs allocate system resources to workloads. This paper introduces a framework for implementing the translation and a process for quantifying workload importance. Under the framework, workload importance is encapsulated into an objective function that is optimized to derive resource allocation plans. A general form of workload utility functions is developed for simplifying the job of quantifying workload importance. Experiments show their effectiveness.
  • Keywords
    data mining; database management systems; resource allocation; enterprise DBMS; resource allocation; utility functions; workload importance; workload management; Feedback control; Guidelines; Operating systems; Quality of service; Resource management; Time factors; self-managing DBMSs; workload importance; workload management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Commerce and Enterprise Computing (CEC), 2010 IEEE 12th Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8433-1
  • Electronic_ISBN
    978-0-7695-4228-7
  • Type

    conf

  • DOI
    10.1109/CEC.2010.36
  • Filename
    5708408