Add to ORKGIn this paper, we propose a novel and mathematically rigorous measure of variability, called the index of variability (H v ()), that fully and accurately captures the degree of variability of a typical network traffic process at each time scale and is analytically tractable for many popular traffic models. Using this proposed measure, we then analyzed two traffic models: the Two-State Markov Modulated Poisson Process (MMPP) and the renewal process with hyperexponential interarrival time distributions of order two (RPH2). Two-state MMPP models are popular in modeling the superposition of packet voice streams. The results show that the traffic variability can exhibit a non-monotonic behavior. In addition, the results suggest that renewal pro...
In this work, we propose a Hidden Markov Model for Internet traffic sources at packet level, jointly...
In this work, we propose a Hidden Markov Model for Internet traffic sources at packet level, jointly...
In this work, we propose a Hidden Markov Model for Internet traffic sources at packet level, jointly...
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of i...
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of i...
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of i...
In this paper, we propose a MMPP (Markov modulated Poisson process) traffic model that accurately ap...
Abstract. In recent years several studies have reported peculiar types of traffic behavior, such as ...
The Internet is teeming with high variability phenomena, from mea-sured IP flow sizes to aspects of ...
SUMMARY Measuring and modeling network traffic is of key impor-tance for the traffic engineering of ...
Abstract—The relation between burstiness and self-similarity of network traffic was identified in nu...
Current methods for modelling network traffic bandwidth do not sufficiently take into account the im...
We describe the frst steps in the evaluation of an idea to match the high vari- ability found in mea...
Traditionally, communication systems have been dominated by voice applications. Today with the emerg...
Abstract—We present a simple Markovian framework for mod-eling packet traffic with variability over ...
In this work, we propose a Hidden Markov Model for Internet traffic sources at packet level, jointly...
In this work, we propose a Hidden Markov Model for Internet traffic sources at packet level, jointly...
In this work, we propose a Hidden Markov Model for Internet traffic sources at packet level, jointly...
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of i...
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of i...
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of i...
In this paper, we propose a MMPP (Markov modulated Poisson process) traffic model that accurately ap...
Abstract. In recent years several studies have reported peculiar types of traffic behavior, such as ...
The Internet is teeming with high variability phenomena, from mea-sured IP flow sizes to aspects of ...
SUMMARY Measuring and modeling network traffic is of key impor-tance for the traffic engineering of ...
Abstract—The relation between burstiness and self-similarity of network traffic was identified in nu...
Current methods for modelling network traffic bandwidth do not sufficiently take into account the im...
We describe the frst steps in the evaluation of an idea to match the high vari- ability found in mea...
Traditionally, communication systems have been dominated by voice applications. Today with the emerg...
Abstract—We present a simple Markovian framework for mod-eling packet traffic with variability over ...
In this work, we propose a Hidden Markov Model for Internet traffic sources at packet level, jointly...
In this work, we propose a Hidden Markov Model for Internet traffic sources at packet level, jointly...
In this work, we propose a Hidden Markov Model for Internet traffic sources at packet level, jointly...