ChangeAdvisor: A Solution to Support Alignment of IT Change Design with Business Objectives/Constraints

  • Authors:
  • Roben Castagna Lunardi;Weverton Luis Costa Cordeiro;Fabrício Girardi Andreis;Juliano Araujo Wickboldt;Cristiano Bonato Both;Luciano Paschoal Gaspary;Lisandro Zambenedetti Granville;David Trastour;Claudio Bartolini

  • Affiliations:
  • Institute of Informatics, Federal University of Rio Grande do Sul, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul, Brazil;HP Laboratories Bristol, UK;HP Laboratories Palo Alto, USA

  • Venue:
  • DSOM '09 Proceedings of the 20th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Integrated Management of Systems, Services, Processes and People in IT
  • Year:
  • 2009

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Abstract

Change planning represents a key element for the operation and management of Information Technology infrastructures and services. Its scope ranges from the high level design of a change request to the generation, either manually or automatically, of detailed plans that, if executed, will perform the requested changes (e.g. , modification of network device settings and deployment of new services). A fundamental problem is that, although correct, such detailed plans may not be necessarily aligned with the requirements defined in the business level (e.g. , minimization of the downtime of a given service). To overcome this problem, in this paper we propose a solution for the alignment of change plans with business objectives/constraints. The solution is analyzed experimentally through a prototypical implementation of a decision support system called ChangeAdvisor , which helps operators to understand the trade-offs between alternative change designs.