Resource reservation for adaptive QOS mapping in real-time mach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we describe an adaptive QOS mapping scheme where the QOS parameters of applications are mapped into resource requirements dynamically, and the resources for the applications are reserved based on the measured resource utilization. Real-Time Mach provides resource reservation facilities that are suitable for supporting the adaptive QOS mapping scheme, and we show the effectiveness of the resource reservation facilities when the adaptive QOS mapping scheme is adopted.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages1047-1056
Number of pages10
Volume1388
ISBN (Print)3540643591, 9783540643593
Publication statusPublished - 1998
Externally publishedYes
Event10 Workshops held in conjunction with 12th International Parallel Symposium and 9th Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998 - Orlando, United States
Duration: 1998 Mar 301998 Apr 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1388
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10 Workshops held in conjunction with 12th International Parallel Symposium and 9th Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998
CountryUnited States
CityOrlando
Period98/3/3098/4/3

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Nakajima, T. (1998). Resource reservation for adaptive QOS mapping in real-time mach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1388, pp. 1047-1056). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1388). Springer Verlag.