Bee colony approach for advance resource reservation in optical based grids

Marković, Goran Z.; Radojicic, Valentina Dz.

doi:10.1002/ett.2515

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…Therefore, its use can simplify the process of traffic simulations in most of the cases in opportunistic networks including situations when we obtain non-predictable shape and scale of the traffic. The approach allows us to evaluate queuing delays, loss, availability and occupancy of the system per application or interface at different layers in accordance to TCP/IP model [52][53][54]. The proposed procedure also supports self-configuration of the distributed opportunistic network [55] and can be very useful in all cases of distributed networks with mobile objects.…”

Section: Traffic Measurement Analyses and Simulationmentioning

confidence: 99%

3G network traffic sources measurement and analysis

Goleva

Atamian

Mirtchev

et al. 2013

Trans. Emerging Tel. Tech.

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In this paper, we show statistical analyses of several types of traffic sources in a 3G network, namely voice, video and data sources. For each traffic source type, measurements were collected in order to, on the one hand, gain better understanding of the statistical characteristics of the sources and, on the other hand, enable forecasting traffic behaviour in the network. The latter can be used to estimate service times and quality of service parameters. The probability density function, mean, variance, mean square deviation, skewness and kurtosis of the interarrival times are estimated by Wolfram Mathematica and Crystal Ball statistical tools. Based on evaluation of packet interarrival times, we show how the gamma distribution can be used in network simulations and in evaluation of available capacity in opportunistic systems. As a result, from our analyses, shape and scale parameters of gamma distribution are generated. Data can be applied also in dynamic network configuration in order to avoid potential network congestions or overflows.

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