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Author Xin Peng ♦ Wenyun Zhao ♦ Liang Zhang ♦ Yijian Wu
Sponsorship Univ. of Aizu, Japan ♦ Nat. Natural Sci. Found. China ♦ Fudan GrandHorizon Inf. Technol., Inc. ♦ China Hewlett-Packard Co., Ltd
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Connectors ♦ Computer science ♦ Adaptive systems ♦ Computer architecture ♦ Ontologies ♦ Programming ♦ Reflection ♦ Application software ♦ Intelligent agent ♦ Assembly
Abstract Component based software development provides an architectural way for dynamic reconfiguration. Interactions between components are explicitly represented by connectors, then reconfigurations can be performed on the macro-architecture and be non-intrusive on the components. In this paper, we introduce agents to act as intelligent connectors and the global coordinator. An intelligent connector based framework for dynamic architecture is proposed, in which the global agent and connector agents can perform auto-adaptation on the system-level and component-level respectively. Ontology is introduced to provide the common base for communication and auto-adaptation. The domain ontology also provides a knowledge base for event inference and service assembling. So the framework can offer more flexible and semantic ways for dynamic reconfigurations.
Description Author affiliation: Dept. of Comput. Sci. & Eng., Fudan Univ., Shanghai, China (Xin Peng; Wenyun Zhao; Liang Zhang; Yijian Wu)
ISBN 076952432X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-09-21
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 415.72 kB
Page Count 7
Starting Page 888
Ending Page 894


Source: IEEE Xplore Digital Library