Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12025
Title: A component-level self-configuring personal agent platform for pervasive computing
Authors: Feng, Y
Cao, J 
Lau, ICH
Ming, Z
Ng, JKY
Keywords: Mobile agent
Mobile code
Pervasive computing middleware
Self-configuration
Spontaneous interaction
Issue Date: 2011
Publisher: Taylor & Francis
Source: International journal of parallel, emergent and distributed systems, 2011, v. 26, no. 3, p. 223-238 How to cite?
Journal: International journal of parallel, emergent and distributed systems 
Abstract: Mobile agents have been widely used in distributed computing to take care of the task execution for the user. It is also suitable for mobile and pervasive computing. However, a pervasive computing environment is characterised by high diversity and dynamism, which gives rise to the requirement that a mobile agent executed in such environments has the self-configuring capability. In this paper, we study the problem, when an object providing a service enters the environment, how a mobile agent without prior knowledge about the object can interact with the service. We describe a method for the mobile agent to obtain the corresponding interaction codes and instantiate them for the interaction at runtime with minimal human involvement. We call this component-level self-configuration. Currently, no existing system renders a mobile agent with such capability. We propose a framework, which consists of a unified model for all the participating objects and mechanisms for a mobile agent to dynamically obtain interaction code and self-configuring it for execution. A prototype platform has been implemented and a preliminary performance study has also been carried out. Our experimental results show that the overhead caused by the component-level self-configuration is acceptable.
URI: http://hdl.handle.net/10397/12025
ISSN: 1744-5760
EISSN: 1744-5779
DOI: 10.1080/17445760.2010.531725
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