• DocumentCode
    3241002
  • Title

    Creating On-Demand Service-Oriented Applications from Intentions Model

  • Author

    Baker, Thar ; Taleb-Bendiab, Azzelarabe ; Al-Jumeily, Dhiya ; Miseldine, Philip

  • Author_Institution
    Dept. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool, UK
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    219
  • Lastpage
    226
  • Abstract
    The recent years have seen a flurry of research inspired by social and biological models to achieve the software autonomy. This has been prompted by the need to automate laborious administration tasks, recovery from unanticipated systems failure, and provide self-protection from security vulnerabilities, whilst guaranteeing predictable autonomic software behavior. However, runtime assured adaptation of software to new requirement is still an outstanding issue for research. This paper presents a supporting language for process-oriented programming of autonomic software. The paper starts by a review of the state-of-the-art into runtime software adaptation. This is followed by an outline of a developed Neptune framework and language support, which is here described via an illustrative example pet shop benchmark. The paper ends with a discussion and some concluding remarks leading to suggested further works.
  • Keywords
    distributed processing; security of data; software architecture; software fault tolerance; Neptune framework; autonomic software behavior; biological models; intentions model; on-demand service-oriented application; process-oriented programming; runtime assured adaptation; security vulnerabilities; self-protection; social models; software autonomy; systems failure; Biological system modeling; Biology computing; Kernel; Mathematical model; Middleware; Positron emission tomography; Runtime; Security; Software agents; Software performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Developments in eSystems Engineering (DESE), 2009 Second International Conference on
  • Conference_Location
    Abu Dhabi
  • Print_ISBN
    978-1-4244-5401-3
  • Electronic_ISBN
    978-1-4244-5402-0
  • Type

    conf

  • DOI
    10.1109/DeSE.2009.40
  • Filename
    5395113