Analysis of Latency, Blocking Probability and Network Utilization for a Specific Routing and Spectrum Assignment Algorithm, in Elastic Optical Networks
Journal
Acta Polytechnica Hungarica
Date Issued
2020-12-17
Author(s)
Kocevska, Teodora
DOI
10.12700/APH.17.10.2020.10.4
Abstract
The emergence of new ICT applications has triggered significant growth in data
traffic volumes. As a result, novel flexible and adaptive concepts for optical network
management has emerged, in order to meet the heterogeneous and variable traffic
demands. Efficient spectrum usage has become one of the most important issues, since the
optical spectrum is not an infinite resource. Today’s WDM (Wavelength Division
Multiplexing) technology is inappropriate, due to the fixed spectrum grid it uses. The
elastic optical networks (EON) will overcome these problems. Finding an efficient RSA
(Routing and Spectrum Allocation) algorithm is very important for resourceful use of the
network. This paper extends the current research knowledge regarding the intelligent RSA
algorithm with support for different Class of Service (CoS). It assumes a coexistence of two
traffic categories in the network, along with а central Software Defined Networking (SDN)
controller. Furthermore, a dynamic RSA algorithm is used with two controlling coefficients
to determine the priority of different classes. The performance of the algorithm and the
impact of the controlling coefficients on several performance metrics (e.g. average latency
for data traffic, blocking probability, network utilization and network efficiency) has been
examined through MATLAB simulations. The obtained results indicate some complex
influence of the data traffic load and spectrum-controlling RSA coefficient over the
performance metrics. The results can help network operators not only define different CoS
in their network, but to also finely tune its utilization, blocking probability and data traffic
latency, which is crucial for the emerging 5G communication networks.
traffic volumes. As a result, novel flexible and adaptive concepts for optical network
management has emerged, in order to meet the heterogeneous and variable traffic
demands. Efficient spectrum usage has become one of the most important issues, since the
optical spectrum is not an infinite resource. Today’s WDM (Wavelength Division
Multiplexing) technology is inappropriate, due to the fixed spectrum grid it uses. The
elastic optical networks (EON) will overcome these problems. Finding an efficient RSA
(Routing and Spectrum Allocation) algorithm is very important for resourceful use of the
network. This paper extends the current research knowledge regarding the intelligent RSA
algorithm with support for different Class of Service (CoS). It assumes a coexistence of two
traffic categories in the network, along with а central Software Defined Networking (SDN)
controller. Furthermore, a dynamic RSA algorithm is used with two controlling coefficients
to determine the priority of different classes. The performance of the algorithm and the
impact of the controlling coefficients on several performance metrics (e.g. average latency
for data traffic, blocking probability, network utilization and network efficiency) has been
examined through MATLAB simulations. The obtained results indicate some complex
influence of the data traffic load and spectrum-controlling RSA coefficient over the
performance metrics. The results can help network operators not only define different CoS
in their network, but to also finely tune its utilization, blocking probability and data traffic
latency, which is crucial for the emerging 5G communication networks.
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