• DocumentCode
    3501340
  • Title

    Resource management for distributed parallel systems

  • Author

    Neuman, B. Clifford ; Rao, Santosh

  • Author_Institution
    Inf. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1993
  • fDate
    20-23 Jul 1993
  • Firstpage
    316
  • Lastpage
    323
  • Abstract
    Multiprocessor systems should exist in the larger context of distributed systems, allowing multiprocessor resources to be shared by those that need them. Unfortunately, typical multiprocessor resource management techniques do not scale to large networks. The Prospero Resource Manager (PRM) is a scalable resource allocation system that supports the allocation of processing resources in large networks and multiprocessor systems. To manage resources in such distributed parallel systems, PRM employs three types of managers: system managers, job managers, and node managers. There exist multiple independent instances of each type of manager, reducing bottlenecks. The complexity of each manager is further reduced because each is designed to utilize information at an appropriate level of abstraction
  • Keywords
    multiprocessing systems; performance evaluation; resource allocation; Prospero Resource Manager; complexity; distributed parallel systems; job managers; multiprocessor resources; node managers; resource management; scalable resource allocation system; system managers; Application software; Control systems; Multiprocessing systems; Operating systems; Parallel processing; Processor scheduling; Prototypes; Resource management; Scalability; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Distributed Computing, 1993., Proceedings the 2nd International Symposium on
  • Conference_Location
    Spokane, WA
  • Print_ISBN
    0-8186-3900-8
  • Type

    conf

  • DOI
    10.1109/HPDC.1993.263828
  • Filename
    263828