Development of distributed fuzzy systems with a runtime-adaptable mobile components framework

Ellen, Robert A., Campbell, Duncan A., & Lees, Michael (2012) Development of distributed fuzzy systems with a runtime-adaptable mobile components framework. In Proceedings of the 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Brisbane, Queensland, pp. 179-188.

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A distributed fuzzy system is a real-time fuzzy system in which the input, output and computation may be located on different networked computing nodes. The ability for a distributed software application, such as a distributed fuzzy system, to adapt to changes in the computing network at runtime can provide real-time performance improvement and fault-tolerance. This paper introduces an Adaptable Mobile Component Framework (AMCF) that provides a distributed dataflow-based platform with a fine-grained level of runtime reconfigurability. The execution location of small fragments (possibly as little as few machine-code instructions) of an AMCF application can be moved between different computing nodes at runtime. A case study is included that demonstrates the applicability of the AMCF to a distributed fuzzy system scenario involving multiple physical agents (such as autonomous robots). Using the AMCF, fuzzy systems can now be developed such that they can be distributed automatically across multiple computing nodes and are adaptable to runtime changes in the networked computing environment. This provides the opportunity to improve the performance of fuzzy systems deployed in scenarios where the computing environment is resource-constrained and volatile, such as multiple autonomous robots, smart environments and sensor networks.

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ID Code: 49961
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Fuzzy systems, Distributed computing, Real-time fuzzy systems
ISBN: 9781467315074
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Please consult the authors.
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Deposited On: 29 Apr 2012 22:05
Last Modified: 12 Apr 2013 15:17

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