2012
DOI: 10.1504/ijmndi.2012.048487
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Study about effects of self-similar IP network traffic on queuing and network performance

Abstract: The paper examines self-similar properties of real communication network traffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. Advanced self-similar models of sequentional generators and fixed-length sequence generators, and efficient algorithms that are used to simulate self-similar behaviour of IP network traffic processes are developed and applied. Simulations and nume… Show more

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Cited by 5 publications
(24 citation statements)
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“…Self-similar teletraffic exhibits long-range dependent self-similar properties over a wide range of time scales and is usually observed in LAN and WAN, where superposition of strictly independent alternating ON/OFF traffic models, whose ON-or OFF-periods have heavy-tailed distributions with infinite variance, can be used to model aggregate queuing network traffic that exhibits long-range dependent self-similar behavior, typical for measured LAN traffic over a wide range of time scales [8,13].…”
Section: Self-similar Processes In Diverse High-speed Communicatimentioning
confidence: 99%
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“…Self-similar teletraffic exhibits long-range dependent self-similar properties over a wide range of time scales and is usually observed in LAN and WAN, where superposition of strictly independent alternating ON/OFF traffic models, whose ON-or OFF-periods have heavy-tailed distributions with infinite variance, can be used to model aggregate queuing network traffic that exhibits long-range dependent self-similar behavior, typical for measured LAN traffic over a wide range of time scales [8,13].…”
Section: Self-similar Processes In Diverse High-speed Communicatimentioning
confidence: 99%
“…Long-range dependent self-similar teletraffic is also observed in ATM networks: when arriving at an ATM buffer, it results in a heavy-tailed buffer occupancy distribution, and a buffer cell loss probability decreases with the buffer size not exponentially, like in traditional Markovian models, but hyperbolically [6,8,11].…”
Section: Self-similar Processes In Diverse High-speed Communicatimentioning
confidence: 99%
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