Procedures and tools for analysis of network traffic measurements
Performance Evaluation
Effective bandwidth estimation and testing for Markov sources
Performance Evaluation
The output of a switch, or, effective bandwidths for networks
Queueing Systems: Theory and Applications
Many Sources Asymptotics for Networks with Small Buffers
Queueing Systems: Theory and Applications
Network decomposition: theory and practice
IEEE/ACM Transactions on Networking (TON)
Quality of service parameters and link operating point estimation based on effective bandwidths
Performance Evaluation - Performance modelling and evaluation of heterogeneous networks
Probe-based admission control for a differentiated-services internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
Large deviations approximation for fluid queues fed by a large number of on/off sources
IEEE Journal on Selected Areas in Communications
The search for QoS in data networks: a statistical approach
Network performance engineering
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The performance analysis of a network link is a well-studied problem. However, the most interesting issue for a service provider is to evaluate the end-to-end quality of service (QoS). The evaluation of the end-to-end QoS (e.g. loss probability or delay) depends on the traffic statistic which is constantly modified as the traffic traverse the network, making its analysis a very difficult problem. In this work we use a simplified framework known as fictitious network analysis that allows us to estimate on-line the end-to-end loss ratio from input traffic traces statistics. We prove that the defined estimator is consistent and that a Central Limit Theorem is verified. Based on these estimations an admission control mechanism can be implemented. More precisely, we propose a simply method to estimate the control admission region, i.e. which are the flows that can be accepted in the network that verifies that its end-to-end loss ratio is smaller than a given threshold. While decisions based on the fictitious network analysis are safe, it may lead to network resources under-utilization (it generally overestimates the QoS parameters). In this work we establish sufficient conditions to assure that results obtained by means of the fictitious network coincide with real ones (there is no overestimation). We present first the conditions in the one-link case and extend them to the multilink case, necessary to evaluate the end-to-end loss ratio. When different results are obtained we define a method to find a bound for the overestimation. We also present numerical examples to compare the performance obtained in the real and the fictitious network, validating our main results.