Self-similar Traffic Models
نویسنده
چکیده
منابع مشابه
Simulation of Self - Similar Network Traffic Using High Variance on / off Sources
Realistic traffic models are a fundamental requirement for understanding network hardware and software design issues such as queuing behavior, congestion management and buffer sizing. It has been determined that many real-world traffic traces are statistically consistent with long-range dependent or self-similar traffic models, however many current self-similar traffic models are mathematically...
متن کاملModeling and Simulation of Self-Similar Traffic in Wireless IP Networks
The paper examines self-similar properties of real telecommunications 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. Simulation with stochastic and long range dependent traffic source models is performed, and the algorithms for buffer overfl...
متن کاملDRAFT On the Self - Similar Nature of Ethernet Traffic ( extended
We demonstrate that Ethernet local area network (LAN) traffic is statistically self-similar, that none of the commonly used traffic models is able to capture this fractal behavior, that such behavior has serious implications for the design, control, and analysis of high-speed, cell-based (B-ISDN) networks, and that aggregating streams of such traffic typically intensifies the selfsimilarity ("b...
متن کاملDRAFT On the Self - Similar Nature of Ethernet Traffic
We demonstrate that Ethernet local area network (LAN) traffic is statistically self-similar, that none of the commonly used traffic models is able to capture this fractal behavior, that such behavior has serious implications for the design, control, and analysis of high-speed, cell-based (B-ISDN) networks, and that aggregating streams of such traffic typically intensifies the selfsimilarity ("b...
متن کاملModeling and Simulation of Self-Similar Traffic for Wireless IP Networks
The paper examines self-similar properties of real telecommunications 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. The algorithms for modeling fixed-length sequence generators that are used to simulate self-similar behavior of wireless IP ...
متن کاملAdvanced Models and Algorithms for Self–similar Ip Network Traffic Simulation and Performance Analysis
The paper examines self-similar (or fractal) 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 fractal models of sequentional generators and fixed-length sequence generators, and efficient algorithms th...
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تاریخ انتشار 1999