• DocumentCode
    3227155
  • Title

    A Planning Tool Supporting the Deployment of Cloud Applications

  • Author

    Lascu, Tudor A. ; Mauro, Jacopo ; Zavattaro, Gianluigi

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Bologna, Bologna, Italy
  • fYear
    2013
  • fDate
    4-6 Nov. 2013
  • Firstpage
    213
  • Lastpage
    220
  • Abstract
    Cloud computing offers the possibility to build sophisticated software systems on virtualized infrastructures at a fraction of the cost necessary just a few years ago. Nevertheless, the deployment of such complex systems is a serious issue due to the large number of involved software packages and services, and to their elaborated interdependencies. In this paper we address the challenge of automatizing this complex deployment process. We first formalize it as a planning problem and observe that standard planning tools can effectively solve it only on small and trivial instances. For this reason, we propose an ad hoc planning technique which we validate by means of a prototype implementation able to effectively solve this deployment problem also on instances of realistic size.
  • Keywords
    cloud computing; planning (artificial intelligence); virtualisation; ad hoc planning technique; cloud applications; cloud computing; complex deployment process; complex systems; planning tool; prototype implementation; software packages; software services; sophisticated software systems; virtualized infrastructures; Abstracts; Concrete; Planning; Ports (Computers); Prototypes; Silicon; Software systems; Automatic deployment; Cloud computing; Planning; System administration; System configuration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on
  • Conference_Location
    Herndon, VA
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4799-2971-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2013.41
  • Filename
    6735252