• DocumentCode
    3708163
  • Title

    Invasive computing for predictable stream processing: a simulation-based case study

  • Author

    Sascha Roloff;Stefan Wildermann;Frank Hannig;Jurgen Teich

  • Author_Institution
    Hardware/Software Co-Design, Department of Computer Science Friedrich-Alexander University Erlangen-Nurnberg (FAU), Germany
  • fYear
    2015
  • fDate
    10/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Heterogeneous many-core systems enable the integration of more and more applications into a single system. Executing multiple applications in the same system inevitably leads to resource sharing, e.g., when accessing on-chip communication and memory. This poses a challenge when applications are expected to guarantee user requirements regarding timing, reliability, security, etc. In this paper, we review a design methodology that (a) allows an application designer to model a stream processing application and user requirements, and then (b) automatically generates a set of resource requirements that guarantee the fulfillment of these user requirements. Techniques from the Invasive Computing paradigm enable the program-driven dynamic reservation of resources according to these generated resource requirements.We demonstrate that this provides means for predictable execution of stream processing applications by evaluating a simulation-based case study.
  • Keywords
    "Throughput","Computer architecture","Object detection","Jitter","Design methodology","Prediction algorithms","Timing"
  • Publisher
    ieee
  • Conference_Titel
    Embedded Systems For Real-time Multimedia (ESTIMedia), 2015 13th IEEE Symposium on
  • Type

    conf

  • DOI
    10.1109/ESTIMedia.2015.7351761
  • Filename
    7351761