Distributed priority inheritance for real-time and embedded systems

César Sánchez, Henny B. Sipma, Christopher D. Gill, Zohar Manna

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We study the problem of priority inversion in distributed real-time and embedded systems and propose a solution based on a distributed version of the priority inheritance protocol (PIP). Previous approaches to priority inversions in distributed systems use variations of the priority ceiling protocol (PCP), originally designed for centralized systems as a modification of PIP that also prevents deadlock. PCP, however, requires maintaining a global view of the acquired resources, which in distributed systems leads to high communication overhead. This paper presents a distributed PIP built on top of a deadlock avoidance schema that requires much less communication than PCP. Since the system is already deadlock free and priority inversions can be detected locally, we obtain an efficient dynamic resource allocation system that prevents deadlocks and handles priority inversions.

Original languageEnglish
Title of host publicationPrinciples of Distributed Systems - 10th International Conference, OPODIS 2006, Proceedings
PublisherSpringer Verlag
Pages110-125
Number of pages16
ISBN (Print)9783540499909
DOIs
StatePublished - 2006
Event10th International Conference on Principles of Distributed Systems, OPODIS 2006 - Bordeaux, France
Duration: Dec 12 2006Dec 15 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4305 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Principles of Distributed Systems, OPODIS 2006
Country/TerritoryFrance
CityBordeaux
Period12/12/0612/15/06

Keywords

  • Deadlock avoidance
  • Distributed real-time and embedded systems
  • Distributed resource allocation
  • Priority scheduling

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