Download Network Control and Engineering for QoS, Security and by Rudy Deca, Omar Cherkaoui, Daniel Puche (auth.), Dominique PDF

By Rudy Deca, Omar Cherkaoui, Daniel Puche (auth.), Dominique Gaïti, Sebastià Galmés, Ramon Puigjaner (eds.)

The quick evolution of the networking introduces new interesting demanding situations that have to be explored through the study neighborhood. This publication comprises the court cases of the 3rd overseas convention on community regulate and Engineering for QoS, safety and Mobility, Net-Con'2004, equipped through the foreign Federation of knowledge processing and held on the Universitat de les Illes Balears, Spain in November 2004.

Key components coated comprise: community coverage; community defense; caliber of carrier; instant Networks; clever Networks; functionality assessment

This precious new publication can be crucial analyzing for all these operating in desktop technology and engineering departments, in particular researchers, engineers and scholars in collage and learn laboratories.

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Read or Download Network Control and Engineering for QoS, Security and Mobility, III: IFIP TC6 / WG6.2, 6.6, 6.7 and 6.8 Third International Conference on Network Control and Engineering for QoS, Security and Mobility, NetCon 2004 on November 2–5, 2004, Palma de Mallorca, PDF

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Additional info for Network Control and Engineering for QoS, Security and Mobility, III: IFIP TC6 / WG6.2, 6.6, 6.7 and 6.8 Third International Conference on Network Control and Engineering for QoS, Security and Mobility, NetCon 2004 on November 2–5, 2004, Palma de Mallorca,

Example text

The authenticator is responsible for relaying this information between the supplicant and the authentication server. The authenticator's port-based access control defines two logical ports via a single physical LAN port. These are controlled and uncontrolled ports. The uncontrolled port allows uncontrolled exchange (typically information for the authentication mechanism) between the authenticator and other entities on the LAN, irrespective of the authentication state of the system. Any other exchange takes place via the controlled port.

In the simulations, the proportional resource allocation scheme, which proportionally allocates the resource amongst all service classes, is also employed for comparison. , m. Note that this proportional scheme is a natural way to allocate network resources. Furthermore, we first investigate the evolution of the simulation-generated revenue by the optimal scheme with the time. , load factor p=\. 15) was also employed for further illustrating the performance of the optimal allocation scheme. Figure 1(a) presents the simulation results when the above set of linear pricing functions is used, where Revenue-aware Resource Allocation in the Future Multi-service IP Networks 35 the x-axis represents the time (the measurement period is 100 seconds here) and the y-axis represents the revenue.

To prove that the closed-form solution in Eq. (6) is the only optimal one in the interval (0, 1], we consider the second order derivative of P: | ^ = 31 32 Man Zhang, Timo Hamalainen, Jyrki Joutsensalo _ 2XikiLiC < Q ^ u e tQ t n e constraint WiC > XiLi in (5). , wm} for the interval 0 < Wi < 1, having one and only one maximum. Hence, the closed-form solution W{ in Eq. ,m. This completes the proof. D. Furthermore, the maximum revenue obtained in a network node can be calculated as follows. Theorem 2.

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