Abstract
Dynamic allocation request and spectrum release will lead to spectrum fragmentation, which will affect the allocation of subsequent services and spectrum resource utilization of elastic optical network. This paper proposes a new routing and spectrum allocation algorithm based on deep learning, which will find the best routing and spectrum allocation method for a specific network, so as to improve the overall network performance. Simulation results show that compared with the traditional resource allocation strategy, the neural network model used in this paper can improve the degree of spectrum fragmentation and reduce the network blocking probability.
Highlights
With the rapid development of cloud technology including cloud computing, cloud storage and cloud services, data transmission services are no longer limited to simple text data transmission, while new services such as video, image and virtualization become the main part
The traditional wavelength division multiplexing (WDM) network adopts a fixed spectrum division mechanism, which takes the wavelength as the smallest division unit, so it is difficult to adapt to the rapid growth of transmission rate
In order to verify the superiority of the proposed DNN model, compared with the first hit spectrum allocation algorithm and the accurate hit spectrum allocation algorithm using K shortest path (FF + KSP) strategy, the spectrum fragmentation and bandwidth blocking probability of the algorithm using KSP (EF + KSP) strategy are evaluated
Summary
With the rapid development of cloud technology including cloud computing, cloud storage and cloud services, data transmission services are no longer limited to simple text data transmission, while new services such as video, image and virtualization become the main part. The traditional wavelength division multiplexing (WDM) network adopts a fixed spectrum division mechanism, which takes the wavelength as the smallest division unit, so it is difficult to adapt to the rapid growth of transmission rate. In order to improve the spectrum efficiency, elastic optical networks (eons) technology based on orthogonal frequency division multiplexing (OFDM) further divides the network resources into smaller spectral units, and has the advantages of flexible spectrum allocation [2]. It is considered as one of the main research directions of generation optical networks. The algorithm achieves the goal of reducing the blocking rate and cache overhead, it will lead to the increase of spectrum overhead
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