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Titlebook: Managing the Dynamics of Networks and Services; 5th International Co Isabelle Chrisment,Alva Couch,Martin Waldburger Conference proceedings

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31#
發(fā)表于 2025-3-26 22:14:32 | 只看該作者
Decision Engine for SIP Based Dynamic Call Routinge service extension, while providing good Quality of Service (QoS). In this paper, a dynamic decision-making framework is presented for Session Initiation Protocol (SIP) based voice/video call routing in multihomed network. The decision engine takes multiple criteria into account while computing the
32#
發(fā)表于 2025-3-27 05:10:34 | 只看該作者
Evaluation of the Resource Requirements of SNMP Agents on Constrained Deviceshether the monitoring and configuration of such constrained devices can be performed by adapting the Simple Network Management Protocol (SNMP) to the capabilities of these devices. To this end, we have implemented an SNMP agent under the Contiki operating system. We provide an analysis of its resour
33#
發(fā)表于 2025-3-27 06:18:42 | 只看該作者
Carrier Ethernet OAM: An Overview and Comparison to IP OAMrements, which demand a set of management techniques for the Ethernet layer. Ethernet OAM comprises a set of management techniques for Carrier (or Metropolitan) Ethernet networks. Carrier Ethernet devices often have IP connectivity for management purposes, which might be used for IP OAM as an altern
34#
發(fā)表于 2025-3-27 12:08:38 | 只看該作者
35#
發(fā)表于 2025-3-27 17:30:18 | 只看該作者
36#
發(fā)表于 2025-3-27 17:59:40 | 只看該作者
37#
發(fā)表于 2025-3-28 00:04:12 | 只看該作者
Towards Self-Adaptive Monitoring Framework for Integrated Managementext, monitoring activity has to be concerned with efficiency and autonomy. This paper presents work in progress to define a framework for self-adaptive monitoring relying on the characterization of governability, adaptability and configurability.
38#
發(fā)表于 2025-3-28 06:10:23 | 只看該作者
39#
發(fā)表于 2025-3-28 07:43:51 | 只看該作者
40#
發(fā)表于 2025-3-28 12:14:00 | 只看該作者
Rick Hofstede,Idilio Drago,Giovane C. M. Moura,Aiko Pras can be formulated as linear inverse problems. Commonly, one overcomes the ill-posedness of such problems by finding solutions that match some prior assumptions on the signal best. These are often sparsity assumptions as in the theory of Compressive Sensing. In this paper, we propose a method to tra
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