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A fault model centered modeling framework for self-healing computing systems

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

1 Scopus citations

Abstract

As the computing systems become more and more complex, new technology and approach are desired to construct the system, so as to make them more reliable or self-healable. A modeling framework to generating self-healing system is proposed in this paper. The model framework consists of function model, fault model, self-healing model, model composition mechanism for integration of the function model and the self-healing model, as well as a code generation platform that supports automated generation of self-healing enabled software systems. The framework has the advantages of the following aspects: 1) The functional components of target system and the self-healing components for the target system can be modeled respectively under the framework; 2) The functional models and the self-healing models can be coupled through fault model; 3) The self-healability of the target system can be analyzed at he model level; 4) The modeling framework is platform-independent.

Original languageEnglish
Title of host publicationArtificial Intelligence and Computational Intelligence - Third International Conference, AICI 2011, Proceedings
Pages61-68
Number of pages8
EditionPART 2
DOIs
StatePublished - 2011
Event3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011 - Taiyuan, China
Duration: 24 Sep 201125 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7003 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011
Country/TerritoryChina
CityTaiyuan
Period24/09/1125/09/11

Keywords

  • computing systems
  • framework
  • model
  • self-healing

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