Un algoritmo de control de flujo para redes de computadoras de alta velocidad

Millán, Ginno; Guzmán, Manuel Vargas

doi:10.4067/s0718-33052020000100024

Cited by 5 publications

(3 citation statements)

References 15 publications

(19 reference statements)

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“…Algunos sugieren además que la duración de los flujos, la velocidad de transmisión y las características de tamaño de paquete también deben considerarse [9]. También se propone un método de clasificación basado en los requisitos de la aplicación QoS, como la sensibilidad a la demora, la pérdida o los retardos [10].…”

Section: Criterio De Clasificación De Tráficounclassified

On the LRD of the aggregated traffic flows in high-speed computer networks (Draft 1)

Millán¹

2021

Preprint

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This paper studies and analyses the behavior of the Long-Range Dependence in network traffic after classifying trafficflows in aggregated time series. Following Differentiated Services architecture principles, the generic Quality of Service applications that requirements and use the transport control protocol, a basic classification criterion of time series is established. Using the fractal theory, the resulting time series are analyzed. The Hurst exponent is estimated and used as a measure of traffic burstiness and Long- Range Dependency in each traffic class. The traffic volume per class is also measured. The study uses traffic traces collected at the core switch at the Electric Engineering Department at Universidad de Santiago de Chile in different periods of network activity.

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Section: Criterio De Clasificación De Tráficounclassified

On the LRD of the aggregated traffic flows in high-speed computer networks (Draft 1)

Millán¹

2021

Preprint

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Section: Criterio De Clasificación De Tráficounclassified

“…Teniendo en cuenta los aspectos anteriores y el tipo de servicio (TOS) propuesto para aplicaciones clásicas [10], el criterio de clasificación está orientado a la agregación de tráfico que puede asignarse fácilmente a una arquitectura de QoS basada en clases. De esta manera como primer enfoque, el proceso de clasificación distingue el tráfico TCP del UDP y, a continuación, se tienen en cuenta los requisitos genéricos de las aplicaciones.…”

Section: Criterio De Clasificación De Tráficounclassified

Long-range dependence, QoS and self-similar time series in computer networks

Millán¹

2021

Preprint

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This paper studies and analyses the behavior of the Long-Range Dependence in network traffic after classifying traffic flows in aggregated time series. Following Differentiated Services architecture principles, the generic Quality of Service applications that requirements and use the transport control protocol, a basic classification criterion of time series is established. Using the fractal theory, the resulting time series are analyzed. The Hurst exponent is estimated and used as a measure of traffic burstiness and Long-Range Dependency in each traffic class. The traffic volume per class is also measured. The study uses traffic traces collected at the core switch at the Electric Engineering Department at Universidad de Santiago de Chile in different periods of network activity.

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