Add to ORKGRecent measurements of packet/cell streams in multimedia communication networks have revealed that they have the self-similar property and are of different character istics from traditional traffic streams. Therefore, a number of studies of modeling the self-similar traffic have been performed. In this paper, we first give some definitions of self-similarity. Then, we propose a fitting method for the self-similar traffic in terms of Markov-modulated Poisson process (MMPP). We construct an MMPPas the superposition of two-state MMPPs and fit it so as to match the variance function over several time-scales. Numerical examples show that the variance function of the self-similar process can be well represented by that of four-state MMPP. We also...
Self-similar (or fractal) stochastic processes have been proposed as more accurate models of certain...
ABSTRACT Self-similar (or fractal) stochastic processes have been proposed as more accurate models o...
It is well known that the fitting methods based on the second-order statistics of counts for the arr...
Abstract. In recent years several studies have reported peculiar types of traffic behavior, such as ...
SUMMARY Measuring and modeling network traffic is of key impor-tance for the traffic engineering of ...
This paper describes a new method of modeling self-similar data traffic in computer networks using M...
Abstract—We present a simple Markovian framework for mod-eling packet traffic with variability over ...
We describe the frst steps in the evaluation of an idea to match the high vari- ability found in mea...
Recent papers have pointed out that data traffic exhibits self-similarity, but self-similarity is ob...
Recent studies of digital network traffic have shown that arrival processes in such an environment a...
In this paper, we propose and study fitting algorithms for MMPP(2) and CMPP ATM traffic models, whic...
In order to closely simulate the real network scenario thereby verify the effectiveness of protocol ...
Mobile networks are experiencing exponential rates of subscriber growth worldwide. In addition they ...
Traffic control cannot be done without having a well-fit model to represent the traffic. Therefore t...
The discovery of the self similarity of Ethernet traffic at Bellcore has had a profound effect on th...
Self-similar (or fractal) stochastic processes have been proposed as more accurate models of certain...
ABSTRACT Self-similar (or fractal) stochastic processes have been proposed as more accurate models o...
It is well known that the fitting methods based on the second-order statistics of counts for the arr...
Abstract. In recent years several studies have reported peculiar types of traffic behavior, such as ...
SUMMARY Measuring and modeling network traffic is of key impor-tance for the traffic engineering of ...
This paper describes a new method of modeling self-similar data traffic in computer networks using M...
Abstract—We present a simple Markovian framework for mod-eling packet traffic with variability over ...
We describe the frst steps in the evaluation of an idea to match the high vari- ability found in mea...
Recent papers have pointed out that data traffic exhibits self-similarity, but self-similarity is ob...
Recent studies of digital network traffic have shown that arrival processes in such an environment a...
In this paper, we propose and study fitting algorithms for MMPP(2) and CMPP ATM traffic models, whic...
In order to closely simulate the real network scenario thereby verify the effectiveness of protocol ...
Mobile networks are experiencing exponential rates of subscriber growth worldwide. In addition they ...
Traffic control cannot be done without having a well-fit model to represent the traffic. Therefore t...
The discovery of the self similarity of Ethernet traffic at Bellcore has had a profound effect on th...
Self-similar (or fractal) stochastic processes have been proposed as more accurate models of certain...
ABSTRACT Self-similar (or fractal) stochastic processes have been proposed as more accurate models o...
It is well known that the fitting methods based on the second-order statistics of counts for the arr...