The ADRENALINE testbed: An SDN/NFV packet/optical transport network and edge/core cloud platform for end-to-end 5G and IoT services

Muñoz, Raül; Nadal, Laia; Casellas, Ramon; Moreolo, Michela Svaluto; Vilalta, Ricard; Fàbrega, Josep M.; Mayoral, Arturo; Vílchez, F. Javier

doi:10.1109/eucnc.2017.7980775

Cited by 46 publications

(42 citation statements)

References 12 publications

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“…The work presented in [192] discusses the design challenges of network slicing with other concepts such as cloud-RAN and MEC. A SDN/NFV packet/optical transport network and edge/core cloud platform for E2E 5G and IoT services is presented in ADRENALINTE testbed [193]. It demonstrates the use of SDN/NFV control system to provide the global orchestration of the multi-layer (packet/optical) network resources and network slicing based distributed cloud infrastructure for multi-tenancy.…”

Section: Network Slicingmentioning

confidence: 99%

“…General IoT [189] A discussion on use of network slicing for Massive IoT services. General IoT [192] Propose an novel network slicing architecture for integrated 5G communications including IoT General IoT [193] Propose an packet/optical transport network and edge/core cloud platform and testbed implementation for E2E 5G and IoT services.…”

Section: Network Slicingmentioning

confidence: 99%

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Survey on Multi-Access Edge Computing for Internet of Things Realization

Porambage

Okwuibe

Liyanage

et al. 2018

IEEE Commun. Surv. Tutorials

647

328

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The Internet of Things (IoT) has recently advanced from an experimental technology to what will become the backbone of future customer value for both product and service sector businesses. This underscores the cardinal role of IoT on the journey towards the fifth generation (5G) of wireless communication systems. IoT technologies augmented with intelligent and big data analytics are expected to rapidly change the landscape of myriads of application domains ranging from health care to smart cities and industrial automations. The emergence of Multi-Access Edge Computing (MEC) technology aims at extending cloud computing capabilities to the edge of the radio access network, hence providing real-time, high-bandwidth, low-latency access to radio network resources. IoT is identified as a key use case of MEC, given MEC's ability to provide cloud platform and gateway services at the network edge. MEC will inspire the development of myriads of applications and services with demand for ultra low latency and high Quality of Service (QoS) due to its dense geographical distribution and wide support for mobility. MEC is therefore an important enabler of IoT applications and services which require real-time operations. In this survey, we provide a holistic overview on the exploitation of MEC technology for the realization of IoT applications and their synergies. We further discuss the technical aspects of enabling MEC in IoT and provide some insight into various other integration technologies therein.

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Section: Network Slicingmentioning

confidence: 99%

Section: Network Slicingmentioning

confidence: 99%

Survey on Multi-Access Edge Computing for Internet of Things Realization

Porambage

Okwuibe

Liyanage

et al. 2018

IEEE Commun. Surv. Tutorials

647

328

View full text Add to dashboard Cite

show abstract

“…For example, DMT or SSB-OFDM can also be combined with CO-Rx, for an S-BVT design with simpler and cost-effective S-BVTx able to cope with longer paths and/or more degraded channels. Table 2 shows different S-BVT configurations and the latest experimental results achieved in a real testbed network, namely the ADRENALINE testbed [31]. This is to provide a performance comparison of the alternative proposed S-BVT schemes on a same experimental platform.…”

Section: Performance and Programmabilitymentioning

confidence: 99%

“…Electronics 2019, 8,1476 7 of 11 Table 2 shows different S-BVT configurations and the latest experimental results achieved in a real testbed network, namely the ADRENALINE testbed [31]. This is to provide a performance comparison of the alternative proposed S-BVT schemes on a same experimental platform.…”

Section: S-bvt Elementmentioning

confidence: 99%

Sliceable BVT Evolution Towards Programmable Multi-Tb/s Networking

2019

Self Cite

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The sliceable bandwidth variable transceiver (S-BVT) is a key element in addressing the challenges and evolution of optical networks, and supporting the ever-increasing traffic volume, speed, and dynamicity driven by novel and broadband services and applications. Multiple designs and configurations are possible and are evolving towards supporting multi-Tb/s networking, thanks to the adoption of advanced and more mature photonic technologies. In this work, we review and analyze alternative S-BVT design architecture options that target different network segments and applications. We specifically focus on S-BVTs based on multicarrier modulation (MCM), which provide a wide range of granularity and more flexible spectral manipulation. A detailed description of the main elements in an S-BVT and their characteristics is provided in order to give design guidelines. The performance in a real testbed network is also reported, comparing a set of S-BVT configurations that adopt different technologies. Finally, an extensive discussion of the described architecture, functionalities, and results, including programmability aspects, is provided in view of S-BVT evolution towards future optical network requirements and needs.

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“…Hence, hybrid node architectures based on either flexible-grid wavelength selective switch (WSS) or fixed-grid arrayed waveguide grating (AWG) technologies have been investigated. To that end, the ADRENALINE testbed, which is a fixed/flexi-grid dense wavelength division multiplexing (DWDM) network with white box reconfigurable optical add-drop multiplexer (ROADM) and optical cross connect (OXC) nodes is considered [15]. In this scenario, the impact of traversing multiple network nodes, known as the filter narrowing effect, is experimentally investigated when adopting programmable/modular S-BVTs within fully disaggregated optical metro networks.…”

Section: Introductionmentioning

confidence: 99%

SDN-Enabled Sliceable Transceivers in Disaggregated Optical Networks

Nadal

Fàbrega

Moreolo

et al. 2019

J. Lightwave Technol.

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We design and implement programmable (SDNenabled) sliceable bandwidth/bitrate variable transceivers (S-BVTs) based on multicarrier modulation (MCM) with direct detection (DD), tailored for disaggregated metro networks. A first level of disaggregation is assessed by considering an S-BVT architecture composed of a set of white box bandwidth/bit rate variable transceivers (BVTs) from multiple manufaturers/providers. An OpenConfig vendor-neutral model is adopted for the implementation of the SDN agents that configure the S-BVTs according to the network requirements/targets. Additionally, a fully disaggregated metro network is envisioned by considering a fixed/flexi-grid dense wavelength division multiplexing (DWDM) network with white box ROADM/OXC nodes. The impact of the filter narrowing effect is assessed considering different network node architectures based on either flexible wavelength selective switches (WSSes) or arrayed waveguide gratings (AWGs). Thanks to the transceiver inherent modularity, flexibility and bit rate variability, up to 8 network nodes can be traversed ensuring a target capacity of 50 Gb/s per slice at a 4.62 • 10 −3 BER. Index Terms-Sliceable bandwith/bitrate variable transceiver (S-BVT), wavelength selective switch (WSS), filter narrowing effect, software defined networking (SDN), disaggregation, optical metro networks.

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The ADRENALINE testbed: An SDN/NFV packet/optical transport network and edge/core cloud platform for end-to-end 5G and IoT services

Cited by 46 publications

References 12 publications

Survey on Multi-Access Edge Computing for Internet of Things Realization

Survey on Multi-Access Edge Computing for Internet of Things Realization

Sliceable BVT Evolution Towards Programmable Multi-Tb/s Networking

SDN-Enabled Sliceable Transceivers in Disaggregated Optical Networks

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