Work in Progress: The ILP-Tractability of Schedulability Analysis Problems

  • Sanjoy Baruah

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

6 Scopus citations

Abstract

Algorithms used for the pre-runtime analysis of safety-critical systems have traditionally been required to have running times no worse than pseudo-polynomial in the size of their inputs. Some recent work, however, has been motivated by a vast improvement in the performance of Integer Linear Programming (ILP) solvers and a concurrent widespread and inexpensive availability of increasing computing capabilities, to consider the use of ILP solvers as acceptably efficient for the purposes of such analysis. In this paper, the concept of ILP-tractability is proposed as a formal characterization of the class of scheduling problems that can be solved efficiently under this newer interpretation of efficiency. Techniques are presented for showing a problem to be ILP-tractable, as well as for showing a problem to be ILP-intractable-i.e., it cannot be solved efficiently using ILP solvers.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 41st Real-Time Systems Symposium, RTSS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages391-394
Number of pages4
ISBN (Electronic)9781728183244
DOIs
StatePublished - Dec 2020
Event41st IEEE Real-Time Systems Symposium, RTSS 2020 - Virtual, Houston, United States
Duration: Dec 1 2020Dec 4 2020

Publication series

NameProceedings - Real-Time Systems Symposium
Volume2020-December
ISSN (Print)1052-8725

Conference

Conference41st IEEE Real-Time Systems Symposium, RTSS 2020
Country/TerritoryUnited States
CityVirtual, Houston
Period12/1/2012/4/20

Keywords

  • Computational Complexity
  • ILP-tractability
  • Integer Linear Programs (ILPs)
  • Schedulability-analysis

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