Queueing analysis for shared buffer switching networks for non-uniform traffic
E. Valdimarsson
Abstract
E. Valdimarsson
Abstract
Uniform traffic does not represent a realistic view of traffic patterns in real systems. Non-uniform traffic models better reflect the traffic patterns that need to be accommodated. Such traffic may cause the network performance to deteriorate to much lower levels than the ones predicted by uniform traffic analysis. The authors extend the queueing analysis for buffered networks by providing methods for analyzing the queueing behavior of switching networks under non-uniform traffic patterns. They focus on shared buffer switch elements because they have better performance than input or output buffered elements. The analytical method for performance evaluation is compared with simulation on the basis of accuracy, where the performance is measured in terms of maximum throughput and probability of cell loss.
OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Uniform traffic does not represent a realistic view of traffic patterns in real systems. Non-uniform traffic models better reflect the traffic patterns that need to be accommodated. Such traffic may cause the network performance to deteriorate to much lower levels than the ones predicted by uniform traffic analysis. The authors extend the queueing analysis for buffered networks by providing methods for analyzing the queueing behavior of switching networks under non-uniform traffic patterns. They focus on shared buffer switch elements because they have better performance than input or output buffered elements. The analytical method for performance evaluation is compared with simulation on the basis of accuracy, where the performance is measured in terms of maximum throughput and probability of cell loss.
Key concepts: Queueing theory, Computer science, Throughput, Computer network, Traffic equations, Layered queueing network, Airfield traffic pattern, Traffic generation model