• DocumentCode
    1792273
  • Title

    Combating unpredictability in multicores through the multi-resource server

  • Author

    Inam, Rafia ; Sjodin, Martin

  • Author_Institution
    Malardalen Univ., Vasteras, Sweden
  • fYear
    2014
  • fDate
    16-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper we present challenges that hinder the predictable integration and execution of real-time applications on multicore platforms. We investigate how shared resources, like CPU, memory-bus bandwidth, caches, and memory cause unpredictability and interference. We propose to adapt the traditional server-based scheduling approach on the multicore platforms with additional resource-reservations to control the shared access to such resources and present the multi-resource server as a solution such that the execution of real-time applications becomes predictable.
  • Keywords
    cache storage; multiprocessing systems; real-time systems; storage management; CPU; caches; memory-bus bandwidth; multicore platforms; multiresource server; real-time applications; resource-reservations; server-based scheduling approach; shared access control; shared resources; Bandwidth; Hardware; Interference; Multicore processing; Random access memory; Real-time systems; Servers; Hierarchical scheduling; cache coloring; memory-bank partitioning; memory-bus bandwidth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technology and Factory Automation (ETFA), 2014 IEEE
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/ETFA.2014.7005063
  • Filename
    7005063