This paper proposes the neural network-assisted routing strategy selection for the optical datacenter networks. Results reveal the high accuracy of strategy selection within the range of interested traffic load, validating feasibility of the proposed scheme
In this paper we propose an adaptive routing strategy, called Weighted Link Capacity (WLC), as a can...
Neural networks have shown promise as new computation tools for solving constrained optimization pro...
The demand for data center bandwidth has exploded due to the continuous development of cloud computi...
To improve the blocking probability (BP) performance and enhance the resource utilization, a correct...
There has been much interest in using optics to implement computer interconnection networks, However...
There has been much interest in using optics to implement computer interconnection networks. However...
This paper presents the capability of the neural networks as a computational tool for solving constr...
Neural-network-based optical network restoration is illustrated over an example in which multiple cl...
Due to the lack of sufficient bandwidth resources and abnormal burst traffics in public network, the...
We present an overview of the application of machine learning for traffic engineering and network op...
Generally, routing methods can be implemented using centralized and decentralized methods. In order ...
The application of machine learning touches all activities of human behavior such as computer networ...
This paper evaluates a self-organizing routing protocol for ad hoc network, called the neuron routin...
This paper evaluates a self-organizing routing protocol for Ad Hoc network, called the NEUron Routin...
Aiming at the problems of poor load balancing ability and weak generalization of the existing routin...
In this paper we propose an adaptive routing strategy, called Weighted Link Capacity (WLC), as a can...
Neural networks have shown promise as new computation tools for solving constrained optimization pro...
The demand for data center bandwidth has exploded due to the continuous development of cloud computi...
To improve the blocking probability (BP) performance and enhance the resource utilization, a correct...
There has been much interest in using optics to implement computer interconnection networks, However...
There has been much interest in using optics to implement computer interconnection networks. However...
This paper presents the capability of the neural networks as a computational tool for solving constr...
Neural-network-based optical network restoration is illustrated over an example in which multiple cl...
Due to the lack of sufficient bandwidth resources and abnormal burst traffics in public network, the...
We present an overview of the application of machine learning for traffic engineering and network op...
Generally, routing methods can be implemented using centralized and decentralized methods. In order ...
The application of machine learning touches all activities of human behavior such as computer networ...
This paper evaluates a self-organizing routing protocol for ad hoc network, called the neuron routin...
This paper evaluates a self-organizing routing protocol for Ad Hoc network, called the NEUron Routin...
Aiming at the problems of poor load balancing ability and weak generalization of the existing routin...
In this paper we propose an adaptive routing strategy, called Weighted Link Capacity (WLC), as a can...
Neural networks have shown promise as new computation tools for solving constrained optimization pro...
The demand for data center bandwidth has exploded due to the continuous development of cloud computi...
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