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
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;
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
DOI :
10.1109/PERCOM.2008.55