Research Article
Autonomous Function Composition for Information Network Adaptive to Changes in Service Request
@INPROCEEDINGS{10.4108/icst.bict.2014.257879, author={Shunji Okamoto and Naoki Wakamiya}, title={Autonomous Function Composition for Information Network Adaptive to Changes in Service Request}, proceedings={8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)}, publisher={ICST}, proceedings_a={BICT}, year={2015}, month={2}, keywords={functional evolution adaptation genetic algorithm}, doi={10.4108/icst.bict.2014.257879} }
- Shunji Okamoto
Naoki Wakamiya
Year: 2015
Autonomous Function Composition for Information Network Adaptive to Changes in Service Request
BICT
ACM
DOI: 10.4108/icst.bict.2014.257879
Abstract
Information networks have been introducing new or improved protocols one after another to satisfy diverse requirements of a variety of emerging applications. Consequently, current network systems have become considerably large, complex, and even fragile. In this paper, to accomplish a sustainable network system which autonomously adapts to diverse requests by dynamically generating necessary control mechanisms, we propose an autonomous function composition method. More speciffically, each node has small pieces of networking functions, called function modules, and appropriately combines them to answer each service request. Combinations are refined taking into account the degree of satisfaction of users by a genetic algorithm. Through simulation experiments, we verify that our proposal can adapt to changes in requests in the multi-user environment.