5GTopoNet: Real-time topology discovery and management on 5G multi-tenant networks

Sanchez-Navarro, Ignacio; Serrano-Mamolar, Ana; Wang, Qi; Calero, José M. Alcaraz

doi:10.1016/j.future.2020.08.025

Cited by 16 publications

(11 citation statements)

References 9 publications

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“…We mainly collect indicator data from the network and feed it back to the monitoring personnel. Immersive VR network detection and real-time risk warning are of great signi cance to the distribution of multimedia network-related resources, tra c plan service levels, and security warnings [1,2].…”

Section: Introductionmentioning

confidence: 99%

Immersive VR Network Management Analysis considering Automatic Topology Discovery Algorithms

2022

Computational Intelligence and Neuroscience

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In order to make up for the deficiency of a two-dimensional user interface, enhance the visualization of network information, and comprehensively and effectively improve the efficiency of network management, this paper attempts to use virtual reality technology to design the network management system and uses the research results of related fields for reference to carry out the specific practice, providing a new idea for the design and development of the network management system. The automatic topology discovery algorithm is introduced into the network management analysis, and the immersive network management is modularized by using the method of dividing subnets. Finally, the test results show that through the functional design of the system and the hierarchical description of the structural model, the practical method is given. Finally, the operation process of the simulation system is analyzed in detail. The proposed method can effectively reduce the network load and reduce the network bandwidth and greatly improve the slow convergence of the penetration VR network topology.

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Section: Introductionmentioning

confidence: 99%

Immersive VR Network Management Analysis considering Automatic Topology Discovery Algorithms

2022

Computational Intelligence and Neuroscience

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“…This component is also instantiated in all the machines of the infrastructure: Service and Compute layers of each Edge and Core segments and for each stakeholder. The capabilities and performance of this component are detailed in [32], and a specific use case for the topology information that the component discovers is specified in [33].…”

Section: Resource Inventory Agent (Ria)mentioning

confidence: 99%

Distributed dual-layer autonomous closed loops for self-protection of 5G/6G IoT networks from distributed denial of service attacks

2023

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“…[133]. 5G communication technologies have the potential to enhance these interactions in multiple ways, for example, multitenancy [134], bioinspired resource allocation [135], cognitive radio networks [136], and dense multipleradio access technology [136]. 3) Knowledge exchange: A key factor that characterizes a collective-intelligence-based network is the quantity of information in the network and how it is handled.…”

Section: )mentioning

confidence: 99%

Collective Intelligence Using 5G: Concepts, Applications, and Challenges in Sociotechnical Environments

et al. 2022

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5GTopoNet: Real-time topology discovery and management on 5G multi-tenant networks

Cited by 16 publications

References 9 publications

Immersive VR Network Management Analysis considering Automatic Topology Discovery Algorithms

Immersive VR Network Management Analysis considering Automatic Topology Discovery Algorithms

Distributed dual-layer autonomous closed loops for self-protection of 5G/6G IoT networks from distributed denial of service attacks

Collective Intelligence Using 5G: Concepts, Applications, and Challenges in Sociotechnical Environments

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