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Titlebook: Network Control and Engineering for QoS, Security and Mobility, IV; Fourth IFIP Internat Dominique Ga?ti Conference proceedings 2007 IFIP I

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21#
發(fā)表于 2025-3-25 04:46:01 | 只看該作者
22#
發(fā)表于 2025-3-25 10:11:56 | 只看該作者
A Differentiated Services API for Adaptive QoS Management in IP Networks,, Differentiated Services architecture proposed by the Internet Engineering Task Force (IETF) is becoming the most employed solution for providing end-to-end QoS (Quality of Service) to network based applications. However, tuning QoS parameters in edge and core routers of a DiffServ domain for effic
23#
發(fā)表于 2025-3-25 15:35:06 | 只看該作者
A generic conceptual framework for self-managed environments,ort article presents a generic multi-agent organizational framework dedicated to the management domain. This conceptual framework constitutes a first step towards the design of self-managed environments.
24#
發(fā)表于 2025-3-25 19:20:52 | 只看該作者
Modified Location-Aided Routing Protocols for Control Overhead Reduction in Mobile Ad Hoc Networks,evices are inexpensive and can provide reasonable precision. In this work, we are interested in the optimization of the geographical routing protocol, LAR (Location-Aided Routing) [.]. LAR is an on-demand routing protocol using geographical location information to limit the area for discovering a ne
25#
發(fā)表于 2025-3-25 22:03:25 | 只看該作者
26#
發(fā)表于 2025-3-26 04:10:07 | 只看該作者
27#
發(fā)表于 2025-3-26 06:30:22 | 只看該作者
New CAC Algorithm using Adaptive Modulation Control,Adaptive modulation is a powerful technique to improve the spectral efficiency in wireless transmission over fading channels. Similarly, it is possible to apply the adaptive modulation technique to Call Admission Control (CAC) scheme in order to enhance network performance and satisfy Quality of Ser
28#
發(fā)表于 2025-3-26 09:03:23 | 只看該作者
29#
發(fā)表于 2025-3-26 14:54:22 | 只看該作者
30#
發(fā)表于 2025-3-26 17:29:27 | 只看該作者
Towards an Adaptive and Intelligent MPLS Network,aced by present-day networks like speed, scalability and traffic engineering. However, the Quality of Service (QoS) management of MPLS is made by static methods. In this paper, we propose a solution based on Multi-Agent Systems (MAS) to manage the QoS into MPLS by adequate adaptive methods.
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