Competitive interaction model with Holling type and application to IP network data packets forwarding

摘要

When network users are interacting intensively by sending large amount of packets during window time, handling and transmitting generated data can be challenging without violating quality of service (QoS) as network resources are limited. As data packets flow has different regime and incoming packets arrival rate depends on users' behavior, we propose in this paper, to analyze the predator-prey interaction occurring between two users' packets flows traveling network segment considering incoming packets as newborn and queuing packets as adult population, using a modified Hutchinson interactive model. We focused our analysis on interaction outcome by performing qualitative studies of the proposed model. Theoretical analyses suggest adopting different queuing strategy and hybrid resources allocation by taking into account users' behavior to enhance forwarding performance and improve transmission efficiency. (C) 2019 Elsevier B.V. All rights reserved.