• DocumentCode
    1686779
  • Title

    Exploiting Multi-core Processors to Improve Time Predictability for Real-Time Java Computing

  • Author

    Sun, Yu ; Zhang, Wei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Southern Illinois Univ. Carbondale, Carbondale, IL, USA
  • fYear
    2009
  • Firstpage
    447
  • Lastpage
    454
  • Abstract
    As a successful programming language, Java has extended its application from general-purpose systems to embedded, real-time systems. However, some of Java´s excellent features, like automatic memory management and dynamic compilation, bring indeterminism to the execution time of real-time Java programs. In this paper, we propose several multi-core approaches to remove or at least reduce the unpredictability inside of Java Virtual Machine (JVM). Our goal is to retain high performance competitive to dynamic compilation and, at the same time, obtain better time predictability for JVM. Also, we study pre-compilation techniques to utilize second core more efficiently. Furthermore, we develop Pre-optimization on Another Core (PoAC) scheme to replace the Adaptive Optimization System (AOS) in Jikes JVM, which is very sensitive to execution time variation and impacts time predictability greatly. The experimental results indicate that our approaches are able to reach high performance while greatly reduce execution time variation of Java applications.
  • Keywords
    Java; embedded systems; optimising compilers; storage management; virtual machines; Java virtual machine; adaptive optimization system; automatic memory management; dynamic compilation; embedded systems; execution time; multicore processor; preoptimization on another core; programming language; real-time Java computing; real-time systems; time predictability; Application software; Computer architecture; Dynamic compiler; Embedded computing; Java; Memory management; Multicore processing; Real time systems; Sun; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Real-Time Computing Systems and Applications, 2009. RTCSA '09. 15th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1533-2306
  • Print_ISBN
    978-0-7695-3787-0
  • Type

    conf

  • DOI
    10.1109/RTCSA.2009.54
  • Filename
    5279736