A Congestion Avoidance Approach in Jumbo Frame-enabled IP Network

Abstract

Jumbo frame is as an approach that allows for higher utilization of larger packet sizes on a domain-wise basis, decreasing the number of packets processed by core routers while not having any adverse impact on the link utilization of fairness. The major problem faced by jumbo frame networks is packet loss during queue congestion inside routers is as the RED mechanism that is recommended to combine with jumbo frame treats jumbo frame encapsulation as one packet by drop the whole jumbo frame with packets encapsulate during the congestion time. RED dropping the whole jumbo frame encapsulation randomly from head, middle and tail inside queue of router during periods of router congestion, leading to affect the scalability and performance of the networks by decreasing throughputs and increasing queue delay. This work proposes the use of two AQM techniques with jumbo frame, modified Random Early Detection MRED and developed drop Front technique DDF, which are used with the jumbo frame network to reduce packet drop and increase throughput by decreasing overhead in the network. For the purpose of evaluation, network simulator NS-2.28 was set up together with jumbo frame and AQM scenarios. Moreover, for justification objectives, the proposed algorithm and technique for AQM with jumbo frame were compared against the existing AQM algorithm and techniques that are found in the literature using metrics such as packet drop and throughput.