A A Spider Web Optimisation Algorithm for improving Queue Tasks on highly loaded Nodes

A Lossy network is defined as a network which produced losing of data packet, time delay and network error during data transmission from start to end nodes. Due to highly loaded routers, switches, insufficient bandwidth and network utilization that effects reduction of throughput, request turnaround time and decreasing network reliability. This problem is mostly faced in a real time application such as video streaming, online gaming a voice over IP (VoIP). The best technique is to mitigate Lossy Network for adopting network congestion control algorithm, network coding and Quality of Service (QoS). A Swarm-based nature-inspired metaheuristic approach is a juncture of bionic science and Swarm intelligence. It is based on the collective behavior to solve complex distributed computational problems such as optimizing data traffic and minimizing queue tasks on certain thresholds—the two-stage bionic-inspired algorithm to forage food by eliminating pheromones to explore the positioning stage of cobweb. A cobweb is a hexagonal-based network model in a spider web that attracts other species through electric force to exchange information, reproduce, and generate offspring. A Cloud-based network model contains a variety of data, huge volumes of information expanding at different velocities. In this type of scenario, fog computing and a 6-G network are required for the survival of big data and network platforms. In spider webs prey to generate vibration to attract other spider species to move it where the rate of traffic is minimal therefore the queue task of certain nodes has been minimized to optimize the flow of traffic constantly everywhere. The newly SWO algorithm is a technique to solve complex engineering problem and it an attractive choice of newly practicians and researcher, a viable choice in the field of web optimization. Comparison of reduction of traffic via Circle multi-modal function 57.1% with Raster-gin function and Bohachevsky function are 42.35% and 52.9%.