Traffic meter algorithms serve as a means of examining traffic stream’s conformance with service level agreement between customers (traffic sources) and Internet Service provider at the edge router of a differentiated service domain for proper quality of service admission control. This paper presented comparative analysis of variants of token bucket meter algorithms for QoS router using user datagram protocol (UDP) as traffic agents and exponential ON/OFF as traffic generator. The research adopted simulation technique to carry out the design of network models or topologies using the same parameter setting to implement the algorithm of token bucket variants of traffic meter. The following metrics were used for the evaluation: throughput, fairness rate, loss rate and one-way packet delay. The evaluated results were ranked and further subjected to 2-way analysis of variance (ANOVA) model to indicate the significant differences among the traffic meter algorithms. Based on ranking system, TRTCM was ranked first in terms of throughput (with 67117) and fairness rate (with 0.2586) and TBM was ranked first in terms of loss rate (with 74.003) and one-way packet delay (with 0.09304). The 2-way ANOVA model showed the significant differences among the traffic meter algorithms considered for the simulation.
The key role of traffic meter for quality of service admission control internet is to control the amount of traffic injected into the differentiated service network so that congestion can be avoided to the barest minimum in order to meet certain performance requirements. This paper presents performance evaluation and analysis of two traffic meters: token bucket marker (TBM) and two rate three color marker (srTCM) QoS admission control using user datagram protocol (UDP) and transport control protocol (TCP) traffic agents. The performance measures used for the evaluation and analysis were throughput, fairness and losses. An in-depth study of the aforementioned admission control mechanisms that can enforce service level agreement (SLA) was carried out in order to suggest to the IETF which of the proposed meter would best provide QoS to users. A network simulator, ns-2.35 to be precise, was used to run the simulation to showcase the analysis and evaluation of the traffic meters. For TCP traffic agent, the analysis based on fairness, throughput and losses showed that the two rate three color marker with percentages 13.15 for fairness, 98.85 for throughput and 0.14 for losses was better in all ramification than the token bucket marker traffic meter with percentages of 12.50 for fairness, 96.66 for throughput and 1.34 losses. For UDP traffic, reverse was the case. The token bucker marker traffic meter with 24.54% of fairness, 62.69% of throughput and 37.37% of losses was better than the two rate three color marker traffic meter with 13.99% of fairness, 21.10% of throughput and 78.99% of losses.
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