A selfsimilar traffic model for network onchip performance analysis using network calculus. We use the mean waiting time of a packet in the queue to express the performance of the cbq. In this paper we examine the mechanisms that give rise to selfsimilar network traffic. Download citation self similar network traffic and performance evaluation park k packets are the basic unit of the internet. We find a generic equation to analyse the performance of such system with selfsimilar traffic and, finally, we provide some numerical results using a ns2 simulation when the traffic for the class. The correlation of network traffic at multiple time scales influences network performance greatly and has been widely studied. Preface the recent discovery of scaling phenomena in modern communication networks involving selfsimilarity or fractals and powerlaw or heavytailed distributions is yet another realization of benoit mandelbrots vision of order in physical, social, and. Selfsimilar network traffic and performance evaluation park k. We also explain the meaning of longrange dependence and its impact on network performance and network management protocols, by revisiting mandelbrots workmandelbrot69. A self similar traffic model for network onchip performance analysis using network calculus, advanced topics in multimedia research, sagarmay deb, intechopen, doi. The more selfsimilar the traffic, the longer the queue size.
Performance evaluation of road traffic control using a. Performance evaluation of selfsimilar models for traffic on ieee 802. The performance impact of heavytailed distributions. Request pdf performance evaluation of pseudo selfsimilar traffic several studies demonstrated that network traffic exhibits selfsimilarity and longrange dependence. Simulationbased performance evaluation of routing protocols in vehicular adhoc network mrs. Performance modeling and network management for self. Evaluation of network traffic performance measures. His research focuses on the design and performance evaluation of traffic.
We explicate our methodology for discerning and evaluating the impact ofchanges in transport protocols in the protocol stack under selfsimilar traffic conditions. Comparative evaluation of arima and anfis for modeling of. Self similarity in traffic has been shown to have a significant negative impact on network perfor mance lo, 171, so it is an important feature to capture. Performance of class based queues with self similar traffic. The random access technique has a bigger influence to the performance optimization of cdma data traffic. A selfsimilar traffic model for networkonchip performance. Tcp, performance evaluation, selfsimilar traffic, simulation. Request pdf self similar network traffic analysis and performance evaluation the presence of scaling behavior in telecommunications traffic is striking not only in its ubiquity, appearing in. Self similarity of network traffic 12 leland, et al. Evaluation and estimation of secondorder selfsimilar. The major goal of network forensics is to collect evidence.
Network performance degrades gradually with increasing selfsimilarity. A simplified traffic generating method for network reliability based on selfsimilar model. Therefore, the objective of this paper is to to understand self similarity on physical grounds in a realistic network environment. An immediate consequence of this study is the demonstration of the limitations or validity of conventional resource allocation methods in the presence of self similar traffic. Selfsimilar network traffic and performance evaluation guide books. Performance modeling and network management for selfsimilar. Walter willinger is the editor of selfsimilar network traffic and performance evaluation, published by wiley. Subsequent research has focused on the origins of this self similarity, and the network engineering significance of this phenomenon. Yet, most user operations involve more than one packet and user.
In particular, we survey here the development of self similar traffic and performance. The simulation results indicate that the access performance of cdma data traffic based on selfsimilar model is attenuated by power law, related to such parameters as. Similar network traffic and performance evaluation wiley. Latency is the time required to transmit a packet across a network. New york chichester weinheim brisbane singapore toronto. A preliminary performance comparison of five machine. So, the remarkable impact of jumping burstiness phenomenon in selfsimilar traffic on network performance should be taken into account in performance evaluation and network design. Cs721 network performance evaluation assignment 2 instructions to solve assignments the purpose of the assignments is to give students hands on practice.
Modeling and analysis of selfsimilar traffic in atm networks. A cdma random access technique based on selfsimilar model and its performance analysis are put forward in this paper. The method is designed to be implemented in an online simulation environment, which enables optimisation of adaptive traffic control strategies. Performance evaluation of selfsimilar models for traffic. The simulation results indicate that the access performance of cdma data traffic based on self similar model is attenuated by power law, related to such parameters as fractal coefficient h and network load g. Performance evaluation of multiple time scale tcp under. In this paper this novel concept is applied to the study of traffic recorded in an ieee 802. Performance evaluation for impact of selfsimilarity in.
Studies have shown that the reliable transfer of files drawn from heavytailed distributions, such as the weibull and the pareto distribution, can cause selfsimilarity in network traffic pkc96a, pkc96b, pkc97, pkc00. Application of the analysis of selfsimilar teletraffic with. A comparative performance evaluation of network onchip architectures under selfsimilar traffic. Role of indiana s freight rail system in the states intermodal network 51 5. Chapter in selfsimilar network traffic and performance evaluation, kihong park and walter willinger, eds. An overview of brownian and nonbrownian fclts for singleserver queues. Self similar network traffic analysis and performance. In this electronic file, the report is followed by the management response. Optical selfsimilar cluster switching oscs a novel.
The notion of a long memory process or self similar process has been widely used to explain the nature of a various network traffic, e. A simplified traffic generating method for network. Selfsimilar network traffic and performance evaluation. Network design and control using onoff and multilevel source traffic models with heavytailed distributions.
Properties of the process are shown and methods are given for graphing. Traffic models are hence, a core component of any the performance evaluation of networks and they need to be very accurate. In the next section, we give a brief overview of self similar network traffic and the performance evaluation setup employed in this paper. By using estimates of delay and number of stops from the transyt computer. A survey of performance evaluation and control for self. Internet traffic modeling and its implications to network. On the effect and control of selfsimilar network traffic. Jan 22, 2014 network traffic modeling demands algorithms that are capable of dealing with the self similar behavior of traffic data where conventional methods and assumptions fall short in terms of accuracy. A simplified traffic generating method for network reliability based on self similar model. Thomas bonald joined telecom paristech in 2009 after 10 years at france telecom research labs.
We performed traffic analysis on packet, connection, protocol, and application. The performance analysis of cdma traffic access selfsimilar. Request pdf selfsimilar network traffic and performance evaluation there has been significant progress in developing appropriate mathematical and. Preparation of project performance evaluation reports for public sector operations. Performance measures are computed using a fuzzy cellular. Fast and physicallybased generation of selfsimilar network.
Network forensics is capture, recording and analysis of network packets in order to determine the source of network security attacks. Wan wide area network, lan local area network 16, variable rate video 12, 28 etc. He is an associate editor of ieeeacm transactions on networking and queuing systems. Keywords selfsimilarity, acf, lrd, heavytailed distribution, hurst parameter. A set of work from prime researchers inside the space, this book covers all factors of selfcomparable network guests. Firstly, as an extension of performance analysis in the resource provisioning context, and secondly, from the multiple time scale traffic control perspective where the correlation structure at large time scales is actively exploited to improve network performance. Selfsimilar network traffic and performance evaluation request. Following rules will apply during the evaluation of the assignment. This would totally impair the design of the network. The method is called optical selfsimilar cluster switching oscs. Request pdf selfsimilar network traffic and performance evaluation there has been significant progress in developing appropriate mathematical and statistical techniques that provide a. Depending upon the type of network and the characteristics of the traffic on the network, a traffic model can be chosen for modeling the traffic. Citeseerx document details isaac councill, lee giles, pradeep teregowda. This understanding is important when developing efficient.
The objective of the project was to assess the applicability of the. On the efiect and control of selfsimilar network trafica. Performance evaluation of pseudo selfsimilar traffic. Measurements of network traffic have shown that selfsimilarity is a ubiquitous phenomenon span. On the efiect and control of selfsimilar network trafica simulation per spective. Intuitively, selfsimilar phenomena display structural similarities across all or at least a very wide range of time scales. Recent measurements of network traffic have shown that selfsimilarityis a ubiquitous phe nomenon present in both local network traffic due to web requests can be self similar i. A network traffic sources modeling method based on measured. Evaluation of network traffic performance measures use of. Various researchers have reported traffic measurements that demonstrate considerable burstiness on a. The impacts of self similar traffic on network performance has received much attention recently, however the effects of control network on self similar traffic networks has not been fully investigated yet. Two different modeling approaches, autoregressive integrated moving average arima and adaptive neuro fuzzy inference system anfis, were applied to.
On the relationship between file sizes, transport protocols, and self. An immediate consequence of this study is the demonstration of the limitations or validity of conventional resource allocation methods in the presence of selfsimilar traffic. In the second category are papers that have evaluated the effect of selfsimilar traf. With the discovery that real network traffic is selfsimilar and longrange dependent, new models are needed for performance evaluation of these networks. Our current research aims to fill the gap between this new traffic model and network engineering. The focus of this paper is the observed scaling behavior of network traffic, and the use of dynamical systems models to understand how feedback mechanisms affect it. Recent network traffic studies argue that network arrival processes are much more faithfully modeled using statistically self similar processes instead of. Preface the recent discovery of scaling phenomena in modern communication networks involving selfsimilarity or fractals and powerlaw or. Therefore, the objective of this paper is to to understand selfsimilarity on physical grounds in a realistic network environment. The impacts of selfsimilar traffic on network performance has received much attention recently, however the effects of control network on selfsimilar traffic networks has not been fully investigated yet.
Selfsimilar network traffic and performance evaluation wileyinterscience pdf. Recently the notion of selfsimilarity has been shown to apply to widearea and localarea network traffic. It is expected that students will solve assignments themselves. So, the remarkable impact of jumping burstiness phenomenon in self similar traffic on network performance should be taken into account in performance evaluation and network design. A selfsimilar process is one way of modeling network data dynamics with such a long range correlation. Cbq degrades when the arrival traffic is selfsimilar. Local area networks and selfsimilar traffic springerlink.
We explicate our methodology for discerning and evaluating the impact ofchanges in transport protocols in the protocol stack under selfsimilar traffic. Both types of traffic have been shown to transport files whose size. In this paper a method is proposed for performance evaluation of road traffic control systems. Performance evaluation of multiple time scale tcp under self. A network performance evaluation previous tip mac tips next tip contents. Readers will obtain a higher understanding of these networks by means of a broad introduction to the topic, along with concepts for future evaluation. Determining whether a certain underlying process is self similar or not is quite a subjective issue. In a previous paper it was proposed, and theoretically confirmed, that analysis of self similar traffic flows with longrange dependence may be restricted to the network layer. In this research, we discuss existing and recent developments in performance evaluation and control tools used in network traffic engineering. The queue length distribution of selfsimilar traffic decays more slowly than with poisson sources. It tries to analyze network traffic data, which is collected from different sites and different network equipment, such as firewalls and ids.
Pdf a comparative performance evaluation of networkon. One of the most significant findings of traffic measurement studies over the last decade has been the observed self similarity in packet network traffic. An overview, in self similar network traffic and performance evaluation. On the effect of traffic selfsimilarity on network. Still in its infancy, is the problem of controlling self. This article defines and describes network data transfer dynamics in the context of a selfsimilar process. We present an explanation for traffic selfsimilarity by using a particular subset of wide area traffic. Study was of a network trace over the period from august 1989 to february 1992 estimated the hurst parameter around 0.
Following the recommendations of the oecd 1997 report, performance indicators for the road sector, a task force was established to field test a selection of 15 performance indicators used by road administrations throughout the world. Performance evaluation of multiple time scale tcp is facilitated by a simulation bench mark environment which is based on physical modeling ofselfsimilartraffic. Therefore, accurate and robust models for this par ticular type of traffic would be essential for resource alloca tion and evaluation of network performance, and for future. Self similar network traffic northwestern university. In particular, we survey here the development of selfsimilar traffic and performance.
Traffic control for self similar traffic has been explored on two fronts. In this article, we present analytical method to evaluate the noc design of h. The performance analysis of cdma traffic access self. The everchanging development landscape accompanied by the increased challenges of accountability, performance, quality standards and learning make this a timely publication for the monitoring and evaluation division. Draft indiana state rail plan draft i table of contents. Yue zhang 2, ning huang 1, ning hu 3, and zhitao wu 2. The real internet traffic has the property of self similarity ss, or sometimes also called traffic with. In this research, we collected traffic traces from a hybrid satellite terrestrial network operated by chinasat, a commercial satellite internet service provider. The objective of oscs is to detect potential characteristics of selfsimilar traffic in communication networks such that network resources can be statistically multiplexed in presence of selfsimilarity in datadominant traffic. Webcasting and web network traffic measurements and modeling. This article explains 3 major indicators for measuring network performance i. On the effect of traffic selfsimilarity on network performance. In this paper, we study a mechanism that induces selfsimilarity in network traf. A survey of performance evaluation and control for self similar network traffic abstract this paper surveys techniques for the recognition and treatment of self similar network or internetwork traffic.
Multiple time scale congestion control for selfsimilar. Wide web traffic evidence and possible causes, ieeeacm transactions on networking, 1997 5 o. Kihong park is the editor of selfsimilar network traffic and performance evaluation, published by wiley. In this work, we give an overview of traffic models and analytical tools capable of computing tail probabilities of an atm queueing system driven by a selfsimilar process. Selfsimilar network traffic purdue computer science. Similar network traffic and performance evaluation. A cdma random access technique based on self similar model and its performance analysis are put forward in this paper.
1064 474 1209 424 1007 152 1346 1478 387 1289 1291 804 354 812 527 1413 924 867 390 746 1462 252 1577 1074 467 127 257 318 1131 870 372 275 615 686 624 510 651 379 1105