Performance evaluation of pseudo selfsimilar traffic. Empirical performance of weibull selfsimilar teletraffic. Performance evaluation of multiple time scale tcp under self. A survey of performance evaluation and control for self. In previous work, we have explored the feasibility of exploiting longrange correlation structure in selfsimilar traffic for congestion control. The performance study includes evaluating the chance of immediate serving or rejecting incoming tasks. Performance evaluation of slotted ops switching fabrics. Kihong park is the editor of selfsimilar network traffic and performance evaluation, published by wiley. Section 10 shows the comparisons between poisson and self similar traffic and the suggestion for further research. This study is focused on the quindio region digital qrd network.
Modeling of selfsimilar network traffic using artificial. Analytical and empirical studies have shown that selfsimilar traffic can have a detrimental impact on network performance including amplified queuing delay and packet loss rate. Still in its infancy, is the problem of controlling self. Empirical performance of weibull selfsimilar teletraffic model 78. Selfsimilar network traffic and performance evaluation book. Analytical and empirical studies have shown that self similar traffic can have a detrimental impact on network performance including amplified queuing delay and packet loss rate.
Request pdf selfsimilar network traffic and performance evaluation there has been significant progress in developing appropriate mathematical and statistical techniques that provide a. This causal explanation of selfsimilar traffic is appealing because there is ample evidence that file systems possess heavytailed file size distributions aw96, cb96, irl93, pf94. Approximate analysis of a dynamic scheduler for self. Performance evaluation of selfsimilar models for traffic on. We explicate our methodology for discerning and evaluating the impact ofchanges in transport protocols in the protocol stack under selfsimilar traffic conditions. Selfsimilar network traffic purdue cs purdue university. Performance evaluation of multiple time scale tcp is facilitated by a simulation benchmark environment based on physical modeling of self similar traffic. Performance evaluation of selfsimilar models for traffic. This fractallike behavior of aggregate traffic contradicts the general assumption of poissonlike aggregate traffic, which becomes smoother as more sources are added. Wellknown analysis of internet traffic confirms its selfsimilar properties.
The pareto distribution is not selfsimilar, but it does exhibit visual selfsimilarity due to heavy tails and does violate the central limit theorem due to infinite variance when 2. Performance evaluation of input queuing on self similar traffic page 1 of 10 file. 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. In particular, we survey here the development of self similar traffic and performance. Performance evaluation for impact of selfsimilarity in. Pdf a comparative performance evaluation of networkon.
In this work we present a network convergence environment and the results of the performance evaluation of real time applications in the presence of self similar traffic with different levels of burstiness. Empirical performance of weibull self similar tele traffic model 78. Performance evaluation of multiple time scale tcp under. Selfsimilar network traffic and performance evaluation park k. The most modern method, wavelet multiresolution analysis, is more efficient, but still very costly. A survey of performance evaluation and control for selfsimilar network traffic abstract this paper surveys techniques for the recognition and treatment of selfsimilar network or internetwork traffic. Request pdf self similar network traffic and performance evaluation there has been significant progress in developing appropriate mathematical and statistical techniques that provide a.
Cloud computing, load balancer, pareto distribution, selfsimilar traffic, discreteevent simulator 1. The simulation results indicate that the access performance of cdma data traffic based on selfsimilar model is attenuated by power law. Similar network traffic and performance evaluation wiley. Introduction network servers are resources used to host. This also forms a pillar of performance analysis from the queueing theory side 38. Empirical performance of weibull selfsimilar teletraffic model. Our primary goal is to prove that the grooming of traffic flows that may result in different. Various researchers have reported traffic measurements that. Performance evaluation of input queuing on selfsimilar traffic page 1 of 10 file. The random access technique has a bigger influence to the performance optimization of cdma data traffic.
Similar network traffic and performance evaluation. 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. Selfsimilar, longrange dependence, network traffic. The correlation of network traffic at multiple time scales influences network performance greatly and has been widely studied. Advanced models and algorithms for selfsimilar ip network. Selfsimilar network traffic and performance evaluation request. 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. Local area networks and selfsimilar traffic springerlink. New york chichester weinheim brisbane singapore toronto. A pareto distribution probability density function of interarrival times with 1 generates a very similar distribution to the real network traffic. To achieve this understanding two defined experiments has been done.
Advanced models and algorithms for self similar ip network traffic simulation and performance analysis. Developing and evaluating numerical methods for applied to the analytical performance evaluation of telecom system. The paper examines selfsimilar or fractal properties of real communication network traffic data over a wide range of time scales. Selfsimilar network traffic and performance evaluation wiley interscience pdf,, download ebookee alternative effective tips for a much healthier ebook reading experience. We then present one promising approach based on chaotic maps to capture and model the dynamics of tcptype feedback control in such networks. Performance evaluation of the traffic models is performed in three stages. Comparison of tcp variants over selfsimilar traffic. With poisson traffic found in conventional telephony networks, clustering occurs in the short term but smooths out over the long term. 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. The aim of this research is to understand selfsimilar traffic and its effect on congestion control protocol namely tcp.
Request pdf selfsimilar network traffic and performance evaluation there has been significant progress in developing appropriate mathematical. Evaluation and control of selfsimilar network traffic. Pareto traffic was considered for the offered traffic. Also, several research studies on traffic on wireless networks revealed that the existence of self similar or fractal properties at a range of time scale from seconds to weeks. By using the absolute moments of aggregate traffic measurements, we conclude that measured localarea network lan and widearea network wan traffic traces, with the sample means subtracted, are well modeled by random processes that are. Various researchers have reported traffic measurements that demonstrate considerable burstiness on a. Multiple time scale congestion control for selfsimilar. 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.
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. Wellknown analysis of internet traffic confirms its self similar properties. Internet traffic modeling and its implications to network performance and control kihong park department of computer sciences. Evaluation and estimation of secondorder selfsimilar. 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. Introduction network traffic modeling is of primary importance for network design, per formance prediction, and control. If youre looking for a free download links of selfsimilar network traffic and performance evaluation wiley interscience pdf, epub, docx and torrent then this site is not for you. In this paper, we study a mechanism that induces selfsimilarity in network traf. Request pdf selfsimilar network traffic and performance evaluation there has been significant progress in developing appropriate mathematical and. To this end, we first discuss some of the pitfalls associated with applying traditional performance evaluation techniques to highlyinteracting, largescale networks such as the internet.
Various researchers have reported traffic measurements that demonstrate considerable burstiness on a range of time scales with properties of selfsimilarity. Our current research aims to fill the gap between this new traffic model and network engineering. This causal explanation of self similar traffic is appealing because there is ample evidence that file systems possess heavytailed file size distributions aw96, cb96, irl93, pf94. The most modern method, wavelet multiresolution analysis, is. Advanced models and algorithms for selfsimilar ip network traffic simulation and performance analysis. Performance evaluation of an enhanced distributed channel. It has been observed recently that packet loss and delay are more serious than expected because network traffic is more bursty. Aug 21, 2000 kihong park is the editor of self similar network traffic and performance evaluation, published by wiley. All self similar traffic models suffer from one significant drawback. Walter willinger is the editor of self similar network traffic and performance evaluation, published by wiley. Citeseerx document details isaac councill, lee giles, pradeep teregowda. With the discovery that real network traffic is selfsimilar and longrange dependent, new models are needed for performance evaluation of these networks. A cdma random access technique based on selfsimilar model and its performance analysis are put forward in this paper. Preface the recent discovery of scaling phenomena in modern communication networks involving selfsimilarity or fractals and powerlaw or.
Abry and others published self similar network traffic analysis and performance evaluation find, read and cite all the research you need on researchgate. Citeseerx selfsimilar traffic and network dynamics. Performance evaluation of input and virtual output queuing. Also, the impact of selfsimilar traffic on queuing performance in electronic switches has been largely investigated 2. Also, several research studies on traffic on wireless networks revealed that the existence of selfsimilar or fractal properties at a range of time scale from seconds to weeks. 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. Download citation selfsimilar network traffic and performance evaluation park k packets are the basic unit of the internet. The most significant techniques for performance evaluation include theoretical analysis, simulation, and empirical study based on measurement. Internet traffic modeling and its implications to network. Also, the impact of self similar traffic on queuing performance in electronic switches has been largely investigated 2. Study was of a network trace over the period from august 1989 to february 1992 estimated the hurst parameter around 0. The performance analysis of cdma traffic access self. For example, it is possible that non self similar network traffic models underestimate the required buffer sizes.
Given the ubiquity of scaleinvariant burstiness observed across diverse networking contexts, finding effective traffic control algorithms capable of detecting and. Self similarity of network traffic 12 leland, et al. A comparative performance evaluation of network onchip architectures under self similar traffic. Performance evaluation of slotted ops switching fabrics under. Willinger, towards an improved understanding of network traffic dynamics, in selfsimilar network traffic and. 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. Tcp, performance evaluation, selfsimilar traffic, simulation. The paper examines self similar or fractal properties of real communication network traffic data over a wide range of time scales. Lrd needed for traffic modeling and performance evaluation. Performance evaluation of input and virtual output queuing on.
Performance evaluation of multiple time scale tcp is facilitated by a simulation bench mark environment which is based on physical modeling ofselfsimilartraffic. Required buffer size is another factor which could be affected with self similarity of network traffics. Rapid technological development has widened the scope of network and internet applications and, in. In particular, we survey here the development of selfsimilar traffic and performance. In the first stage, we obtain the statistical characteristics of the.
Required buffer size is another factor which could be affected with selfsimilarity of network traffics. Performance evaluation of nocbased multicore systems. Self similar network traffic analysis and performance. Self similar traffic exhibits the persistence of clustering which has a negative impact on network performance.
Abstract this paper evaluates the performance of fractal or selfsimilar traffic models in ieee 802. We then consider a matter of current research, namely, the manner in which network dynamics specifically, the dynamics of transmission control protocol tcp. Walter willinger is the editor of selfsimilar network traffic and performance evaluation, published by wiley. Performance evaluation methods that have been used so far failed to capture the real characteristics of network traffic. Selfsimilar traffic exhibits the persistence of clustering which has a negative impact on network performance. Willinger, towards an improved understanding of network traffic dynamics, in self similar network traffic and performance evaluation, wiley, 2000, chapter 20, pp.
The objective of this work is to study the performance of the playthrough ring. This paper surveys techniques for the recognition and treatment of selfsimilar network or internetwork traffic. This is especially true when the service times are general such as the variable bit rate vbr video, which is proven to be selfsimilar. Yet, most user operations involve more than one packet and user. Measurements of network traffic have shown that selfsimilarity is a ubiquitous phenomenon spanning across diverse network environments. This scaleinvariant property of data or video traffic means that the traditional markovian traffic models used in most performance studies do not capture the fratal. Request pdf performance evaluation of pseudo selfsimilar traffic several studies demonstrated that network traffic exhibits selfsimilarity and longrange dependence. 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. A comparative performance evaluation of networkonchip architectures under selfsimilar traffic. For example, it is possible that nonselfsimilar network traffic models underestimate the required buffer sizes.
Therefore, the objective of this paper is to to understand self similarity on physical grounds in a realistic network environment. Fast and physicallybased generation of selfsimilar network traffic with applications to atm performance evaluation. In this research, we discuss existing and recent developments in performance evaluation and control tools used in network traffic engineering. Since the seminal study of leland, taqqu, willinger, and wilson, which set the groundwork for considering self. Self similar network traffic northwestern university. Measurements of network traffic have shown that selfsimilarity is a ubiquitous phenomenon span. All selfsimilar traffic models suffer from one significant drawback.
574 1547 1057 531 735 806 836 1323 1098 52 650 1506 1291 163 524 463 165 2 80 644 1266 1579 119 155 216 176 767 251 1135 1179 1184 1458 1359 1047 660 713