Structured Decomposition of Adaptive Applications

被引：20

作者：

Paluska, Justin Mazzola ^{[1
]}

Pham, Hubert ^{[1
]}

Saif, Umar ^{[2
]}

Chau, Grace ^{[1
]}

Terman, Chris ^{[1
]}

Ward, Steve ^{[1
]}

机构：

[1] MIT, Comp Sci & Artificial Intelligence Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[2] LUMS, Dept Comp Sci, Lahore, Pakistan

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS | 2008年

关键词：

D O I：

10.1109/PERCOM.2008.55

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1 / +

页数：2

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