Power Communication Optical Network Traffic Grooming Algorithm Based on Differentiated Services

Rapid growth of network traffic causes the need for the development of new network technologies. Artificial intelligence provides suitable tools to improve currently used network optimization methods. In this paper, we propose a procedure for network traffic prediction. Based on optical networks’ (and other network technologies) characteristics, we focus on the prediction of fixed bitrate levels called traffic levels. We develop and evaluate two approaches based on different supervised machine learning (ML) methods—classification and regression. We examine four different ML models with various selected features. The tested datasets are based on real traffic patterns provided by the Seattle Internet Exchange Point (SIX). Obtained results are analyzed using a new quality metric, which allows researchers to find the best forecasting algorithm in terms of network resources usage and operational costs. Our research shows that regression provides better results than classification in case of all analyzed datasets. Additionally, the final choice of the most appropriate ML algorithm and model should depend on the network operator expectations.

Download Full-text

Restoration algorithms in multi-layer multi-domain optical network with traffic grooming capacity

2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN) ◽

10.1109/iccsn.2017.8230190 ◽

2017 ◽

Author(s):

Li Du ◽

Yongbin Fan ◽

Shuiling Bao ◽

Lei Wang

Keyword(s):

Optical Network ◽

Traffic Grooming ◽

Restoration Algorithms

Download Full-text

Optimized Traffic Grooming through modified PSO based Iterative Hungarian algorithm in Optical Networks

Information Technology And Control ◽

10.5755/j01.itc.50.3.28672 ◽

2021 ◽

Vol 50 (3) ◽

pp. 546-557

Author(s):

J. KUMARNATH ◽

K. BATRI

Keyword(s):

Performance Analysis ◽

Optical Networks ◽

Performance Measures ◽

Shortest Path ◽

Optical Network ◽

Traffic Grooming ◽

Pso Algorithm ◽

Propagation Delay ◽

The Other ◽

Modified Pso

Due to huge size of the data and quick transmission of data between the nodes present in the optical network, a condition of network traffic is created among the nodes of the network. This issue of traffic can be overcome by employing numerous traffic grooming techniques. In this research paper, the best suitable shortest path is determined by the multi objective modified PSO algorithm and an innovative visibility graph based Iterative Hungarian Traffic grooming algorithm is implemented to reduce the blocking ratio through improving the allocation of bandwidth between the users. Then finally the performance analysis is carried out by means of performance measures such as traffic throughput, transceivers count, average propagation delay, blocking ratio, and success ratio. It can be inferred that the proposed work obtains enhanced outcomes when compared to the other existing techniques.

Download Full-text