Fragmentation-aware routing and spectrum allocation scheme based on distribution of traffic bandwidth in elastic optical networks PROJECT TITLE :Fragmentation-aware routing and spectrum allocation scheme based on distribution of traffic bandwidth in elastic optical networksABSTRACT:Empowered by multirate transmission and bandwidth-variable switching technology, elastic optical networks (EONs) enhance spectrum utilization potency and increase network capability to satisfy the speedy growth of Web traffic. Routing and spectrum allocation (RSA) is one in all the key elements in realizing EONs. However, previous RSA schemes with superior performance have had the disadvantage of high computational complexity. During this work, we concentrate on achieving superior RSA performance with reduced computational complexity. We have a tendency to initial propose a dynamic network resource evaluation method that takes into consideration each the distribution of traffic bandwidth and also the spectrum blocks??? carrying capability. Based mostly on this, we tend to introduce traffic-primarily based fragmentation-aware concepts into the RSA steps. Within the routing step, we tend to propose a lowcomplexity fragmentation-aware load-balanced shortest path routing theme and a modified fragmentation-aware load-balanced k-shortest-path routing theme. Within the spectrum allocation step, we propose an efficient traffic-based fragmentation-aware spectrum allocation scheme. Simulation results prove that the proposed RSA schemes can cut back the computational complexity significantly and provide network accommodation that is similar to and traffic blocking probability that is almost like existing dynamic RSA schemes. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Simulation-Based Behavior Planning to Prevent Congestion of Pedestrians Around a Robot Compressed Sensing Reconstruction of 3D Ultrasound Data Using Dictionary Learning and Line-Wise Subsampling