prostatitis
发表于 2025-3-28 14:56:51
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Bravura
发表于 2025-3-28 19:51:11
Enrico Armando,Giuseppe Craparottaiveness of the algorithm using testbed measurements and a state model-based approach, in which we compare its performance with respect to energy efficiency with that of the standard’s synchronization algorithm.
影响深远
发表于 2025-3-29 01:47:49
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协迫
发表于 2025-3-29 05:09:26
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maverick
发表于 2025-3-29 09:30:11
https://doi.org/10.1007/978-3-319-20052-1he barrier of adoption. We explore this standard along with the DMTF CIM standard used in network management and discusses how the principles in the DMTF CIM can be used to extend the IEC CIM in order to address the aforementioned drawbacks.
Moderate
发表于 2025-3-29 11:32:17
Multi Agent Enterprise Modelinging for the virtualization of some of their functionalities. We propose a novel EPON architecture where OLTs and ONUs are partially virtualized and migrated to the network core following SDN and NFV paradigms, thus decreasing CAPEX and OPEX, and improving the flexibility and efficiency of network operations.
包租车船
发表于 2025-3-29 19:13:59
https://doi.org/10.1007/978-3-319-98038-6may thus need to dynamically select one connection among those that are available, according to its preferences. This paper presents a survey of network interface selection in existing mobility and mutlihoming protocols to provide multihomed network mobility to a cruising ship, or to any vehicle (e.g., train, car, airplane, etc.).
Prostaglandins
发表于 2025-3-29 23:45:42
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NEG
发表于 2025-3-30 02:53:00
Business Modeling and Software Designr to use servers deployed within the metro network “at/above the RAN”. A quantitative study is carried out to estimate the potential gains of bandwidth due to mobile traffic offload, both in the core and the metro networks, depending on the location of the servers accessed thanks to the offloading strategy.
cochlea
发表于 2025-3-30 04:32:24
Roger Alan Pick,George P. Schellhigh speed traffic and large amount of hosts for OS detection are issues to overcome. In this paper we propose a flow based framework for large scale OS detection. Furthermore, we describe the framework implementation into a flow probe, provide performance comparison and share remarks on deployment in a real world network.