• DocumentCode
    3401498
  • Title

    Structured Decomposition of Adaptive Applications

  • Author

    Paluska, Justin Mazzola ; Pham, Hubert ; Saif, Umar ; Chau, Grace ; Terman, Chris ; Ward, Steve

  • Author_Institution
    Comput. Sci. & Artificial Intell. Lab., MIT, Cambridge, MA
  • fYear
    2008
  • fDate
    17-21 March 2008
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    We describe an approach to automate certain high- level implementation decisions in a pervasive application, allowing them to be postponed until run time. Our system enables a model in which an application programmer can specify the behavior of an adaptive application as a set of open-ended decision points. We formalize decision points as goals, each of which may be satisfied by a set of scripts called Techniques. The set of Techniques vying to satisfy any goal is additive and may be extended at runtime without needing to modify or remove any existing techniques. Our system provides a framework in which Techniques may compete and interoperate at runtime in order to maintain an adaptive application. Technique development may be distributed and incremental, providing a path for the decentralized evolution of applications. Benchmarks show that our system imposes reasonable overhead during application startup and adaptation.
  • Keywords
    decision making; ubiquitous computing; adaptive applications; application programming; application-generic planner; high-level implementation decision automation; open-ended decision making; pervasive application; structured decomposition; technique-declared subgoals; Adaptive systems; Application software; Artificial intelligence; Computer science; Logic devices; Logic programming; Pervasive computing; Programming profession; Runtime; Sockets; Goals; Techniques; adaptivity; open-ended decision logic; pervasive computing; ubiquitous computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications, 2008. PerCom 2008. Sixth Annual IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-0-7695-3113-7
  • Type

    conf

  • DOI
    10.1109/PERCOM.2008.55
  • Filename
    4517373