Identification of Paradigms of Heliacal Luminosity Through Onotological Mechanism and 5G Networks

This paper develops a new ontological-based approach to network slicing in 5G backhaul networks, targeting low- or ultra-low-latency services. Our approach supports a modified $A^{*}$ approach with management of congestion to be more efficient than Dijkstra’s approach in real time with the help of a precomputed heuristic function. It embeds the network quality-of-service factors in a combined measure. The proposed approach is embedded in a slice module, which is, in turn, encapsulated by a route computation element that is a slice module used to compute the optimal paths of network slices. According to experiment results, our approach showed an increase in the order of magnitude of processing time reduction in comparison with the Dijkstra algorithm. Especially in the case of complex network topologies, the system dynamically changes the path to ensure the packet delay is smaller than the specified level, to satisfy the low-latency requirements. These measurements from the performed end-to-end tests for the Speed test client, which allows URLLC in 5G backhaul networks, give the system the capability to differentiate between no- and low-latency-bound traffic.