• DocumentCode
    610410
  • Title

    Workload management for Big Data analytics

  • Author

    Aboulnaga, A. ; Babu, Sarath

  • Author_Institution
    Cheriton Sch. of Comput. Sci., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    1249
  • Lastpage
    1249
  • Abstract
    Parallel database systems and MapReduce systems are essential components of today´s infrastructure for Big Data analytics. These systems process multiple concurrent workloads consisting of complex user requests, where each request is associated with an (explicit or implicit) service level objective.
  • Keywords
    data analysis; parallel databases; MapReduce systems; big data analytics; complex user requests; parallel database systems; service level objective; workload management; Admission control; Big data; Databases; Educational institutions; Processor scheduling; Resource management; Tutorials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering (ICDE), 2013 IEEE 29th International Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    1063-6382
  • Print_ISBN
    978-1-4673-4909-3
  • Electronic_ISBN
    1063-6382
  • Type

    conf

  • DOI
    10.1109/ICDE.2013.6544915
  • Filename
    6544915
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=610410