• DocumentCode
    2738313
  • Title

    Memory space representation for heterogeneous network process migration

  • Author

    Chanchio, Kasidit ; Sun, Xian-He

  • Author_Institution
    Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
  • fYear
    1998
  • fDate
    30 Mar-3 Apr 1998
  • Firstpage
    801
  • Lastpage
    805
  • Abstract
    A major difficulty of heterogeneous process migration is how to collect advanced dynamic data-structures, transform them into machine independent form, and restore them appropriately in a different hardware and software environment. In this study we introduce a data model, the Memory Space Representation (MSR) model, to recognize complex data structures in program address spaces. Supporting mechanisms of the MSR model are also developed for collecting program data structures and restoring them in a heterogeneous environment. The MSR design has been implemented under a prototype heterogeneous process migration environment. Pointer-intensive programs with function and recursion calls are tested. Experimental results confirm that the newly proposed design is feasible and effective for heterogeneous network process migration
  • Keywords
    data structures; network operating systems; parallel programming; advanced dynamic data-structures; complex data structures; data model; heterogeneous network process migration; heterogeneous process migration; memory space representation; pointer-intensive programs; program address spaces; program data structures; prototype heterogeneous process migration environment; recursion calls; Computer networks; Computer science; Data analysis; Data models; Data structures; Hardware; Parallel processing; Prototypes; Sun; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Symposium, 1998. IPPS/SPDP 1998. Proceedings of the First Merged International ... and Symposium on Parallel and Distributed Processing 1998
  • Conference_Location
    Orlando, FL
  • ISSN
    1063-7133
  • Print_ISBN
    0-8186-8404-6
  • Type

    conf

  • DOI
    10.1109/IPPS.1998.670020
  • Filename
    670020