Improving Efficiency of Service-Oriented Context-Driven Software Agents

Gunasekera, Kutila, Loke, Seng Wai, Zaslavsky, Arkady and Krishnaswamy, Shonali (2011) Improving Efficiency of Service-Oriented Context-Driven Software Agents. Cybernetics and Systems, 42 5: 324-340. doi:10.1080/01969722.2011.595336

Author Gunasekera, Kutila
Loke, Seng Wai
Zaslavsky, Arkady
Krishnaswamy, Shonali
Title Improving Efficiency of Service-Oriented Context-Driven Software Agents
Journal name Cybernetics and Systems   Check publisher's open access policy
ISSN 0196-9722
Publication date 2011-01
Year available 2011
Sub-type Article (original research)
DOI 10.1080/01969722.2011.595336
Volume 42
Issue 5
Start page 324
End page 340
Total pages 17
Place of publication Philadelphia, PA United States
Publisher Taylor and Francis
Collection year 2012
Language eng
Formatted abstract
The case for integrating software agent and web service paradigms has been well documented, and we believe that convergence of these two paradigms, enhanced with context awareness, can enable more efficient and effective pervasive services. Software agents in service-oriented environments have traditionally been limited to either using, providing, or aggregating services. We propose that in dynamic heterogeneous environments it would be sometimes beneficial if the agent, in addition to invoking remote services, could acquire the capacity to execute functionality provided by the service and run it locally. To this end, we build a performance analysis model that compares time consumption and network load of service access with that of component use. We argue that such a model would allow an agent to dynamically select the more efficient alternative. We present a multicriteria decision-making model that helps dynamic selection, describe experiments comparing the two approaches, and discuss results and lessons learned.
Keyword Context awareness
Service oriented computing
Software agents
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
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Created: Wed, 11 Sep 2013, 21:43:54 EST by Kutila Gunasekera on behalf of School of Information Technol and Elec Engineering