Application of Petri Nets to Communication Networks: by Carla Capellmann, Heinz Dibold, Uwe herzog (auth.), Jonathan

By Carla Capellmann, Heinz Dibold, Uwe herzog (auth.), Jonathan Billington, Michel Diaz, Grzegorz Rozenberg (eds.)

Petri nets supply a mathematically outlined process for the specification, layout, research, verification and function review of concurrent dispensed structures. they give not just special semantics and a theoretical starting place, but additionally a graphical shape that allows the knowledge of either details and keep an eye on move in the comparable formalism. As an intuitively beautiful graphical kind of presentation, Petri nets are the version of selection in a number of applications.
Communications networks, starting from conventional telecommunication platforms to complex Internet-based info companies, are inherently dispensed and include platforms with simultaneously working parts. This quantity offers a variety of the most recent advances within the use of Petri nets for the modeling, research and administration of conversation networks and platforms within the broadest experience of those terms.

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The simulation results show that our proposed scheme can generally achieve high network utilization, low losses and end-toend congestion control. V. All rights reserved. Keywords: Adaptive transmission rate; Quality-of-service (QoS); End-to-end congestion control; Network delay; TCP-friendly; Network resource optimization 1. Introduction * Corresponding author. : +1 305 284 5566; fax: +1 305 284 4044. -L. Shyu). V. All rights reserved. 005 922 H. Luo et al. / Computer Networks 50 (2006) 921–937 and video streaming.

That is, when the multimedia flows compete bandwidth with the traditional TCP flows, they should share the bandwidth fairly, which is called TCP-friendly. It has been shown in [3] that the Additive Increase and Multiplicative Decrease (AIMD) algorithm efficiently converges to a fair state. The recently proposed congestion control mechanisms are TCP-like window-based schemes or equation-based schemes [7]. Some rate adaptation approach for congestion control has been proposed. TCP-friendly protocols employing rate-based control to compete fairly with other TCP flows for bandwidth were proposed in [6].

A) Number of search_IP1 packets exchanged in simulation a and b. (b) Approximating the gap between search_IP1 traffics as a linear function. The graph shows that the search_IP1 traffic increases with a linear regression in comparison with the set of nodes. The same way, we show the traffic of search_IP2 packets in Fig. 19(a), as well as the difference of traffic between the two types of simulations according to the number of nodes in Fig. 19(b). In this graph, we can see that the increase in search_IP2 traffic can be approximated by the equation: Y ¼ 0:06 Ã X 1:765 .

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