Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Maintaining colored trees for disjoint multipath routing under node failures
IEEE/ACM Transactions on Networking (TON)
Resilience technologies in Ethernet
Computer Networks: The International Journal of Computer and Telecommunications Networking
A design process of switched Ethernet architectures according to real-time application constraints
Engineering Applications of Artificial Intelligence
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Fast spanning tree reconnection for resilient metro ethernet networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Genetic algorithms for delays evaluation in networked automation systems
Engineering Applications of Artificial Intelligence
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The switched Ethernet networks are more and more deployed in industry. The Spanning Tree Protocol implemented in the switches enables management of the link connectivity. But the reconfiguration time of the Spanning Tree Protocol (STP) when link failure occurs is not adapted to satisfy industrial constraints. The objective of this paper is to propose a method based only on standard, mitigating the probability of disconnection between nodes having hard real-time properties. The approach developed in this paper consists of duplicating frames and of forwarding them on different paths. These paths are optimized and specified by using genetic algorithms. OPNET simulations show the interest of this proposal on a particular Networked Control System.