Open-Source Based Testbed for Multioperator 4G/5G Infrastructure Sharing in Virtual Environments

Alaez, Ricardo Marco; Calero, José M. Alcaraz; Wang, Qi; Belqasmi, Fatna; Barachi, May El; Badra, Mohamad; Alfandi, Omar

doi:10.1155/2017/1984314

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…To be concrete, this integration has been performed by creating an ad-hoc API in the MME implementation of the Mosaic 5G project as described by [11]. Marco et al [12] provides a comprehensive explanation of this API.…”

Section: Topology-awareness In 5g Multi-tenancy Networkmentioning

confidence: 99%

Topology Awareness for Smart 5G eMBB Network Slicing VNF Placement

Sanchez-Navarro

Calero

Wang

2020

2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)

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This paper presents an architecture to gather nontraditional metrics from 5G multi-tenant infrastructure using information about the network topology to take smart decisions on where to optimal placement VNFs that are used to provide services to network slices. The metrics considered are spatial metrics, where information about the shape and size of the network topology is taken into consideration. The architecture has been prototypical validated showing how optimal decisions are taken in an eMBB high-dense scenario, with topologies up to 65538 mobile users geographically concentrated on the same location. Our prototype is able to deal with the calculation of such spatial metrics over the 5G multi-tenant network with 65538 mobile users within 20 seconds, which make it viable at operational phase.

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Section: Topology-awareness In 5g Multi-tenancy Networkmentioning

confidence: 99%

Topology Awareness for Smart 5G eMBB Network Slicing VNF Placement

Sanchez-Navarro

Calero

Wang

2020

2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)

Self Cite

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“…Current solutions for testing apps with different networking conditions are based just on software tools to emulate the provision of specific network qualities in terms of latencies or error rate (some examples are Facebook's Augmented Traffic Control [4] or Dymmynet [5]). Such software emulation means an advance with respect to pure simulation [6,7] of the whole system in a computer because they support the connection of the real devices as part of the end-to-end path. However, the network itself is just an illusion.…”

Section: Introductionmentioning

confidence: 99%

An End-to-End Automation Framework for Mobile Network Testbeds

Zayas

García

Merino

2019

Mobile Information Systems

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This paper describes the end-to-end automation framework developed as part of the TRIANGLE project. The TRIANGLE project is devoted to the benchmarking of apps and devices in mobile networks. For that purpose, it is needed to ensure the repeatability in the behaviour of all the components of the mobile network during the execution of the same test. This is why one of the main objectives of the project was to develop an end-to-end automation framework to provide repeatable testing. This paper describes in detail the design and the implementation of the framework.

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Advanced spatial network metrics for cognitive management of 5G networks

et al. 2020

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The emerging fifth-generation (5G) mobile networks are empowered by softwarization and programmability, leading to the huge potentials of unprecedented flexibility and capability in cognitive network management such as self-reconfiguration and self-optimization. To help unlock such potentials, this paper proposes a novel framework that is able to monitor and calculate 5G network topological information in terms of advanced spatial metrics. These metrics, together with enabling and optimization algorithms, are purposely designed to address the complexity of 5G network topologies introduced by network virtualization and infrastructure sharing among operators (multi-tenancy). Consequently, this new framework, centred on a topology monitoring agent (TMA), enables on-demand 5G networks' spatial knowledge and topological awareness required by 5G cognitive network management in making smart decisions in various autonomous network management tasks including but not limited to virtual network function placement strategies. The paper describes several technical use cases enabled by the proposed framework, including proactive cache allocation, computation offloading, node overloading alerting, and load balancing. Finally, a realistic 5G testbed is deployed with the central component TMA, together with the new spatial metrics and associated algorithms, implemented. Experimental results empirically validate the proposed approach and demonstrate the scalability and performance of the TMA component. Keywords 5G networks • Topology management • Spatial network metrics • Cognitive management 1 Introduction Network management in the forthcoming fifth-generation (5G) mobile networks is notably influenced by the softwarization of network infrastructures where several hardware components are virtualized and by the multi-tenancy of the network infrastructures where hardware components are shared by different mobile operators. The main motivation of these 5G capabilities is the reduction of both capital and operational costs. 5G virtual network functions (VNFs) can now be deployed automatically and on-demand on the Edge and the Core segments of the 5G network and can be migrated between the computers that belong to the same net-Communicated by V. Loia.

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Open-Source Based Testbed for Multioperator 4G/5G Infrastructure Sharing in Virtual Environments

Cited by 5 publications

References 12 publications

Topology Awareness for Smart 5G eMBB Network Slicing VNF Placement

Topology Awareness for Smart 5G eMBB Network Slicing VNF Placement

An End-to-End Automation Framework for Mobile Network Testbeds

Advanced spatial network metrics for cognitive management of 5G networks

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