On the Long-Range Dependent Behaviour of Unidirectional Packet Delay of Wireless Traffic

Abstract

Abstract-In contrast to aggregate inter-packet metrics that quantify the arrival processes of aggregate traffic at a single point in the network, intraflow end-to-end per-packet performance metrics assess the level of service quality experienced by certain traffic types while routed over a network path. Consequently, while the former is influenced by the superimposition of a large number of concurrent ON/OFF sources, the latter mainly depends on the specific transport mechanisms employed by individual flows in conjunction with the temporal resource contention along the end-to-end path. In this paper, we have used a ubiquitous measurement technique to assess the unidirectional end-to-end delay characteristics experienced by diverse sets of IPv6 flows routed over heterogeneous wireless network configurations. We analysed numerous traces to find that, when viewed as time series data, often exhibit long-range dependence manifested by Hurst parameter estimates greater than 0.5. Our results suggest that the end-to-end packet delay can be bursty across multiple time scales even at the microflow level, implying high performance variability during sufficiently long-lived application sessions. We anticipate that the quantification of such intraflow phenomena can enable applications to optimise and adjust their operation in the face of potential performance degradation.

Effective Capacity of a Rayleigh Fading Channel in the Presence of Interference

“…There are some contributions discussing the end to end delay in wireless networks in the presence of LRD traffic. Pezaros et al's paper [8] is one of the recent papers that investigate the relationship between the Hurst parameter and packet delay in a empirical manner.…”

Evaluación del Desempeño de los Modelos de tráfico Autosimilares en redes IEEE 802.11 - Caso de Estudio Red QRD

“…In [1], [2], [3], [9], [13] and [14], the self-similar traffic for WLAN networks is modeled through an M / G / ∞ queue.…”

Evaluación del desempeño de un modelo autosimilar para el tráfico en redes 802.11

“…H es el parámetro de Hurst (Pezaros et al, 2007;Reyes, 2001) y en este caso con la ecuación de Throughput se varió con distintos valores entre 0,5<H<1 para encontrar el valor del parámetro de Hurst que mejor se acomoda al modelo de tráfico real, y con base a este parámetro se concluye si el modelo autosimilar es el modelo que mejor se acomoda al tráfico real de la red IEEE 802.11. Estas variaciones se pueden observar en la Fig.…”