Design and performance evaluation of internet protocol over DWDM-Provincial Electricity Authority core network

This thesis focuses on the issues design and performance evaluation of IP over DWDM network. We consider the network into DWDM layer and IP layer for designing phase and performance evaluation. We model the DWDM network based on physical parameters and the IP/MPLS layer based on traffics requirement of PEA. We evaluate the performance of DWDM layer with blocking probability and IP layer with QoS. We also consider the protection techniques in DWDM layer for against single link failure and equipment failure. In the process of the designing network of the multilayers, we introduce and study the explicit modeling of IP/MPLS over OTN over DWDM. This has not been proposed before. The parameters affecting on the cost of the network of each layer have also been introduced such as the equipment capacity (A, M, Uk). For interconnecting between the layers, we applied the Coherent Polarization-Multiplexed Differential Quadrature Phase Shift Keying (CP DQPSK) modulation and Forward Error Corrections (FEC) in the DWDM layer. This doesn’t required dispersion compensation and regeneration units.
In addition, this study present the model for optimizing the equipment capacities of each network layers. This affects the cost of each network layers and the overall cost the whole network to the module capacities of each layers. Finally, we present an explicit networking optimization model that aims to minimize the total capacity at the LSRs and OXCs. We find that when M is above the average demand in the network is the best case that minimizes the cost of this layer, when the cost ratio of IP to W is 3.5%. On the other hand, the case when M is below the average demand is the best case that minimizes the OTN layer cost when the cost ratio of IP to W is 14%. Our assessment shows that the different weight ratios of LSR to OXC nodes do not generally affect the overall required capacity of each layer. However, the weight ratios influence differently required node capacity at nodes in each layer.