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A model-driven architecture approach for modeling, specifying and deploying policies in autonomous and autonomic systems

  • Joaquín Peña
  • , M.G. Hinchey
  • , R. Sterritt
  • , A. Ruiz-Cortés
  • , M. Resinas

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

Abstract

Autonomic computing (AC), self-management based on high level guidance from humans, is increasingly gaining momentum as the way forward in designing reliable systems that hide complexity and conquer IT management costs. Effectively, AC may be viewed as policy-based self-management. The model driven architecture (MDA) approach focuses on building models that can be transformed into code in an automatic manner. In this paper, we look at ways to implement policy-based self-management by means of models that can be converted to code using transformations that follow the MDA philosophy. We propose a set of UML-based models to specify autonomic and autonomous features along with the necessary procedures, based on modification and composition of models, to deploy a policy as an executing system
Original languageEnglish
Title of host publicationProceedings of the 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC 2006)
PublisherIEEE
Pages19-30
DOIs
Publication statusPublished (in print/issue) - 29 Sept 2006
Event2006 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing - Indianapolis, United States
Duration: 29 Sept 20061 Oct 2006
Conference number: 2nd
https://doi.org/10.1109/DASC11444.2006

Conference

Conference2006 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing
Abbreviated titleDASC 2006
Country/TerritoryUnited States
CityIndianapolis
Period29/09/061/10/06
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Autonomic System
  • Model-driven Architecture
  • NASA
  • Autonomic Computing
  • policy-based self-management
  • UML

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