Abstract
The efficient flow of messages in a communication network is crucial in today’s dynamic environment. These networks are designed to transmit messages in the shortest amount of time. The source sends the messages to the destination through single or multiple servers. Each server contains a buffer that queues the incoming messages when it is busy. This study analyzed the traffic behavior of uncongested and congested wired communication networks for limited and unlimited queue sizes in multiserver configurations with a sequential server model. The performance of the network was measured using three cases: varying the packet length, adding an extra link, and with a broken link connecting the two servers. The performance of the wired communication networks for these three cases was measured based on packet drop rate, throughput, and average end-to-end delay using the OMNeT++ network simulator. Limited and unlimited queue sizes for a sequential server in the network were implemented and simulated to measure the interarrival rate and packet length for optimum performance. For various interarrival rates, the optimum throughput was measured for different queue sizes. The performance with a broken link or the addition of an extra link was assessed and compared with the sequential server model.
Highlights
The effective, efficient transfer of information requires a quite complex computer communication network with communication infrastructure
For packet lengths below 800 bytes, the packet drop rate was low, which agreed with the expectation that when the arrival rate, λ, is small compared to the service rate, μ, not many packets will drop
This paper presents a study of the traffic behavior of uncongested and congested communication networks for sequential server queueing models using three different cases: varying packet length, adding an extra link, and dropping a link to account for a broken link
Summary
The effective, efficient transfer of information requires a quite complex computer communication network with communication infrastructure. This communication infrastructure is invisible to the end user and must be designed and function properly based on user demand. Communication network infrastructure supports high-speed transport mechanisms, such as Ethernet, Wi-Fi®, routers, etc. It provides advanced technology for a conference meeting, live chats, online games, live television/data streaming, and much more. Analytical techniques, empirical methodologies, computer simulation, projections based on experience, and experiments are used to evaluate network performance and compare it to other existing state-of-the-art techniques. Evolution, and management decisions are made using information on imminent user demand or on the basis of independent predictions in order to develop a system correctly in the shortest amount of time possible
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