A model for system resources in flexible time-triggered middleware architectures

Adrian Noguero, Isidro Calvo, Luis Almeida, Unai Gangoiti

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

5 Citations (Scopus)

Abstract

Middleware has become a key element in the development of distributed Cyber Physical Systems (CPS). Such systems often have strict non-functional requirements, and designers need a means to predict and manage non-functional properties. In this work, the authors present a mathematical model for the most relevant resources managed by FTT middleware architectures; namely, (1) processor, (2) memory, (3) energy and (4) network. This model can be used both off-line for simulation and designing purposes of a Cyber Physical System (CPS), or in run-time within an admission test or inside the algorithm of a specific scheduling policy executed by the middleware. In such case, the admission test is aimed at predicting whether a system fulfils the non-functional requirements or not before carrying out any modification in its execution plan at run-time.

Original languageEnglish
Title of host publicationInformation and Communication Technologies - 18th EUNICE/IFIP WG 6.2, 6.6. International Conference, EUNICE 2012, Proceedings
Pages215-226
Number of pages12
DOIs
Publication statusPublished - 2012
Event18th EUNICE/IFIP WG 6.2, 6.6. International Conference on Information and Communication Technologies, EUNICE 2012 - Budapest, Hungary
Duration: 29 Aug 201231 Aug 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7479 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th EUNICE/IFIP WG 6.2, 6.6. International Conference on Information and Communication Technologies, EUNICE 2012
Country/TerritoryHungary
CityBudapest
Period29/08/1231/08/12

Keywords

  • Admission Test
  • Cyber-Physical Systems (CPS)
  • Distributed Embedded Real-Time Systems
  • Middleware architectures
  • Resource Modeling

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