Need of Algorithm Selection in Next Generation Optical Networks

Need of Algorithm Selection in Next Generation Optical Networks

P. Selvaraj, V. Nagarajan
DOI: 10.4018/IJBDCN.2018010105
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Abstract

The IP-based data networks and optical networks have been managed independently with layered protocol stack approach. Both of them were over-provisioned to manage any traffic anomalies and failures. The next generation optical network is expected to handle the needs of the emerging applications in a cost-effective way while satisfying the required QoT. In such scenario, the intents of the application layer must be accounted in the path computation. There is no single path computation algorithm exists which behave optimally under varying traffic conditions. Hence the need for the intent-driven automated algorithm selection was identified. The authors have phrased this intent specific lightpath provisioning problem as the path computation algorithm selection problem. An algorithm selection methodology was proposed with the study of the least congested path in ONOS based software defined controller environment. This approach is claimed as an amenable candidate for the next generation software-defined optical network.
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2. Optical Path Computation Problem

The lightpath is the basic element in optical networks, which will flow through a route and in a particular wavelength between two nodes, by obeying the constraints of the wavelength namely distinct wavelength assignment and wavelength continuity constraint. The collection of such lightpaths which are satisfying or optimizing several QoT parameters like less congestion, delay, cost comprising the virtual topology. The design of the virtual topology involves finding the route and wavelength for every connection request while optimizing the overall/long term network performance like energy efficiency etc. Before the data is transferred through the optical medium the logical topology of the physical topology has to be computed by solving the RWA (Routing and wavelength assignment) sub problem for the evolving traffic demands. And moreover, such logical topology must be dynamically reconfigured in order to better adapt to evolving traffic demands.

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