Journal ArticleDOI
Dimensioning bandwidth for elastic traffic in high-speed data networks
Arthur W. Berger,Yaakov Kogan +1 more
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The model is compared with simulations, the accuracy of the asymptotic approximations are examined, the increase in bandwidth needed to satisfy the tail-probability performance objective as compared with the mean objective, and regimes where statistical gain can and cannot be realized are shown.Abstract:
Simple and robust engineering rules for dimensioning bandwidth for elastic data traffic are derived for a single bottleneck link via normal approximations for a closed-queueing network (CQN) model in heavy traffic. Elastic data applications adapt to available bandwidth via a feedback control such as the transmission control protocol (TCP) or the available bit rate transfer capability in asynchronous transfer mode. The dimensioning rules satisfy a performance objective based on the mean or tail probability of the per-flow bandwidth. For the mean objective, we obtain a simple expression for the effective bandwidth of an elastic source. We provide a new derivation of the normal approximation in CQNs using more accurate asymptotic expansions and give an explicit estimate of the error in the normal approximation. A CQN model was chosen to obtain the desirable property that the results depend on the distribution of the file sizes only via the mean, and not the heavy-tail characteristics. We view the exogenous "load" in terms of the file sizes and consider the resulting flow of packets as dependent on the presence of other flows and the closed-loop controls. We compare the model with simulations, examine the accuracy of the asymptotic approximations, quantify the increase in bandwidth needed to satisfy the tail-probability performance objective as compared with the mean objective, and show regimes where statistical gain can and cannot be realized.read more
Citations
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Queueing system with processor sharing and limited memory under control of the AQM Mechanism
TL;DR: The stationary distribution of the number of customers and the loss probability were determined for the queueing system with processor sharing and limited memory which services random-capacity customers whose lengths depend on their capacities.
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Congestion in large balanced multirate networks
TL;DR: Analytical approximations for various performance measures are obtained for a large fluid stochastic network that operates under a balanced fair bandwidth allocation policy and is extended to a parking lot model that is a special case of tree networks.
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Inferring Latent Traffic Demand Offered to an Overloaded Link with Modeling QoS-Degradation Effect
TL;DR: A CTRIL (Common Trend and Regression with Independent Loss) model to infer latent traffic demand in overloaded links as well as how much it is reduced due to QoS (Quality of Service) degradation is proposed.
Proceedings ArticleDOI
An analytical model for the dimensioning of a GPRS/EDGE network with a capacity constraint on a group of cells
TL;DR: This paper addresses the issue of capacity limitation in a given cell due to coupling with other cells because of a central equipment or transmission link of limited capacity and derives an analytical model that captures in an aggregate way the coupling between cells.
Proceedings ArticleDOI
Detection of TCP performance degradation using link utilization statistics
TL;DR: With this method, a network operator can determine whether or not the degradation originates from the congestion of his/her own network, and the cost of performance management can be greatly decreased compared with the conventional method, which requires dedicated equipment to measure the network performance.
References
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M. I. Freĭdlin,A. D. Ventt︠s︡elʹ +1 more
TL;DR: In this article, the authors introduce the concept of random perturbations in Dynamical Systems with a Finite Time Interval (FTI) and the Averaging Principle.
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Vern Paxson,Sally Floyd +1 more
TL;DR: It is found that user-initiated TCP session arrivals, such as remote-login and file-transfer, are well-modeled as Poisson processes with fixed hourly rates, but that other connection arrivals deviate considerably from Poisson.
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Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level
TL;DR: In this article, the authors provide a plausible physical explanation for the occurrence of self-similarity in local-area network (LAN) traffic, based on convergence results for processes that exhibit high variability and is supported by detailed statistical analyzes of real-time traffic measurements from Ethernet LANs at the level of individual sources.
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TL;DR: TCP/IP Illustrated, Volume 1 is a complete and detailed guide to the entire TCP/IP protocol suite - with an important difference from other books on the subject: rather than just describing what the RFCs say the protocol suite should do, this unique book uses a popular diagnostic tool so you may actually watch the protocols in action.