MMPP-based HTTP traffic generation with multiple emulated sources

نویسندگان

  • Grzegorz Hryn
  • Zbigniew Jerzak
  • Andrzej Chydzinski
چکیده

In this article we propose a new tool, named Raw Packet Sender (RPS), for testing the performance of WWW servers. Our solution allows for testing with arbitrary number of source IP addresses although the traffic originates from only one physical NIC. In order to better mimic the real life environment we implemented an HTTP session interarrival time generator based on Markov Modulated Poisson Process (MMPP), which can closely match auto-covariance and the marginal distribution of recorded web traffic traces.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fitting Algorithms for MMPP ATM Traffic Models

In this paper, we propose and study fitting algorithms for MMPP(2) and CMPP ATM traffic models, which are special cases of Markov Modulated Poisson Processes (MMPP). Two fitting algorithms, both based on the cell interarrival times, are considered for the MMPP(2) model: one fits the cumulative distribution and auto-covariance functions and other fits the first three moments and auto-covariance ...

متن کامل

Analysing the versatility of the 2-MMPP traffic model

Cell loss is an important measure of Quality of Service (QoS) in ATM networks. Cell loss performance of ATM elements handling bursty sources must be evaluated in order to provide guaranteed QoS to users and to dimension network resources correctly. In this paper, we make a comparative study of two fitting algorithms for 2-MMPP ATM traffic models, both based on cell interarrival times: one fits ...

متن کامل

Dimensioning Links for IP Telephony

Packet loss is an important parameter for dimensioning network links or traffic classes carrying IP telephony traffic. We present a model based on the Markov modulated Poisson process (MMPP) which calculates packet loss probabilities for a set of superpositioned voice input sources and the specified link properties. We do not introduce another new model to the community, rather try and verify o...

متن کامل

Anomaly Detection Using an MMPP-based GLRT

Detection of anomalous network traffic is accomplished using a generalized likelihood ratio test (GLRT) applied to traffic arrival times. The network traffic arrival times are modelled using a Markov modulated Poisson process (MMPP). The GLRT is implemented using an estimate of the MMPP parameter obtained from training data that is not anomalous. MMPP parameter estimation is accomplished using ...

متن کامل

Neural Modelling of Ethernet Traffic over Atm Networks

The purpose of this paper is to present a method of modeling a superposition of individual Ethernet sources over an Asynchronous Transfer Mode (ATM) network through neural networks. It is proposed the two-state MMPP model (Markov Modulated Poisson Process) to approximate the aggregated ATM traffic because of its simplicity and analytical tractability. The neural network is able to calculate the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004