Download Advances in Communication Networking: 19th EUNICE/IFIP WG by Uwe Bauknecht, Frank Feller (auth.), Thomas Bauschert (eds.) PDF

By Uwe Bauknecht, Frank Feller (auth.), Thomas Bauschert (eds.)

This publication constitutes the refereed lawsuits of the nineteenth EUNICE/IFIP WG 6.2, 6.6 workshop on Advances in communique Networking, EUNICE 2013, held in Chemnitz, Germany, in August 2013.

The 23 oral papers confirmed including nine poster displays have been rigorously reviewed and chosen from forty submissions. The papers are geared up in topical sections on community modeling and layout, site visitors research, community and site visitors administration, prone over cellular networks, tracking and dimension, safeguard recommendations, software of ICT in shrewdpermanent grid and shrewdpermanent domestic environments, information dissemination in ad-hoc and sensor networks, and prone and applications.

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Extra resources for Advances in Communication Networking: 19th EUNICE/IFIP WG 6.6 International Workshop, Chemnitz, Germany, August 28-30, 2013. Proceedings

Sample text

Estan and Varghese [3] used a different definition. They considered a flow as an elephant if its rate exceeds the 1% of the link utilization. g. both [7] and [8] use this definition). They define elephant flows as flows with a size larger than the average plus three times the standard deviation of all flows. They use the same idea for categorize flows by their duration, rate and burstiness as tortoise, cheetah and porcupine, respectively. [5] was also the first study that presented the cheetah and snail and the porcupine and stingray classifications.

The impact of different parameters, such as fault propagation rates, repair rates were studied. Users can choose different models depending on the real cases. For example, if both physical and transient faults occurred, model II is more appropriate; otherwise, model I is enough for the requirement. The main goal of this paper is to construct the models, rather than model parameterization. One of the goals of our future work is to collect more real data. This information should provide us with a better understanding of the behavior exhibited by faults, help us to refine its stochastic description and lead to better estimates of the model parameters.

In the next section we firstly show that the elephant phenomenon also exist with different threshold levels by plotting the cumulative distribution of user and flow sizes against theirs cumulative proportion of the total traffic. Furthermore, we present the comparison of the following three packet level metrics, (1) byte 40 P. Megyesi and S. Moln´ ar Table 1. 41% Elephant flow threshold Number of elephant flows and packet throughput, (2) packet size distribution and (3) inter packet time distribution.

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