IEEE Transactions on Parallel and Distributed Systems
A General Theory for Deadlock-Free Adaptive Routing Using a Mixed Set of Resources
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
Part I: A Theory for Deadlock-Free Dynamic Network Reconfiguration
IEEE Transactions on Parallel and Distributed Systems
Part II: A Methodology for Developing Deadlock-Free Dynamic Network Reconfiguration Processes
IEEE Transactions on Parallel and Distributed Systems
Topology Reconfiguration Mechanism for Traffic Engineering in WDM Optical Network
HPCS '05 Proceedings of the 19th International Symposium on High Performance Computing Systems and Applications
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The main challenge of network reconfiguration is in avoiding deadlock anomalies while keeping restrictions on packet injection and forwarding minimal. In this paper, we present a novel network reconfiguration strategy for customer requirements optimization. First, we propose dynamic reconfigurable mathematical model based on genetic algorithm, neural network tools. Second, we use genetic algorithms, neural networks and artificial immune theory tools to study the reconstruction scope and the number of unit selection algorithm, propose the network layer dynamic reconfigurable algorithm and the objective function which include a number of factors, Last, we use artificial intelligence, network monitoring and management theory focuses on the network resource management strategy, information resources prediction algorithm based on historical, neighbor nodes monitoring strategies, resource availability query algorithm, the network security management mechanism of reconstruction network, synchronous real-time network performance monitor strategy to achieve network reconstruction.