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PORVIR-5G: programability, orchestration and virtualization in 5G networks

Grant number: 20/05182-3
Support Opportunities:Research Projects - Thematic Grants
Duration: February 01, 2021 - January 31, 2026
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Convênio/Acordo: MCTI/MC
Principal Investigator:José Marcos Silva Nogueira
Grantee:José Marcos Silva Nogueira
Host Institution: Instituto de Ciências Exatas (ICEx). Universidade Federal de Minas Gerais (UFMG). Ministério da Educação (Brasil). Belo Horizonte , SP, Brazil
Pesquisadores principais:
Christian Rodolfo Esteve Rothenberg ; Cristiano Bonato Both ; Daniel Fernandes Macedo ; Magnos Martinello
Associated researchers: Juliano Araujo Wickboldt ; Lucio Rene Prade ; Moisés Renato Nunes Ribeiro ; Raquel Frizera Vassallo ; Rodolfo da Silva Villaca ; Rodrigo Laiola Guimarães ; Vinicius Fernandes Soares Mota
Associated scholarship(s):23/16817-8 - Experiments, collection, and analysis of results in 5G radio access networks with focus on Quality of Experience (QoE) guarantees, BP.IC
23/11477-4 - ANALYSIS OF METRICS FOR EVALUATION OF SYNTHETIC NETWORK MONITORING DATA, BP.IC
23/11831-2 - Characterizing and Predicting Churn in Internet Providers, BP.IC
+ associated scholarships 23/13234-1 - Improvement of the 5G Network in the UNISINOS Telecom laboratory, BP.IC
23/11089-4 - Implementing programmable data planes on hardware devices - slice management use case with PolKA, BP.TT
23/11389-8 - Deployment of a 5G network in the Winet ICEx/UFMG laboratory, BP.IC
23/08923-2 - Experiments, collection and analysis of results in 5G network cores with focus on Quality of Experience (QoE) guarantees, BP.IC
23/05894-1 - Multi flow orchestration in 5G networks, BP.TT
23/06190-8 - Programmability and Adaptive In-Band Telemetry Using Deep Reinforcement Learning in 5G Networks, BP.TT
23/04517-0 - Validation, evaluation, collection and analysis of results in sliced and virtualized networks using LPWAN technologies, BP.IC
22/13821-1 - Evaluation of the Slice-as-a-Service support architecture, BP.TT
22/08143-4 - Communication model evaluation for optimization IoT in 5G through network programmability, BP.PD
22/07102-2 - Experiments, data collection, and analysis in network orchestration with a focus on Quality of Experience (QoE) guarantees in 5G, BP.IC
22/01537-7 - Mobile land robot tracking by a drone-like aerial robot, BP.IC
21/15205-3 - A study on network orchestration with focus on Quality of Experience (QoE) guarantees in 5G, BP.IC
21/12368-9 - Investigation of auto-configuration and its programmability in network devices, BP.IC
21/09678-6 - Investigate ways to guarantee dependability in private clouds, BP.IC
21/08113-5 - Investigation and proposition of a programable massive machine-to-machine communication model for IoT in LPWAN, BP.IC - associated scholarships

Abstract

The expected massive growth of mobile internet traffic in 5G mobile networks introduces the need to change the operators' networks. Such networks require a drastic transformation towards open, scalable and elastic ecosystems supporting new types of communication. The PORVIR-5G project will develop and demonstrate a programmable fronthaul and backhaul integrating wireless with optical-packet networks and cloud solutions. It is intended to exploit virtual network splits that optimize resource allocation across the wireless, optical, packet, and compute/storage domains. Key enablers for PORVIR-5G are (i) slicing over packet, wireless, and optical resources, controlled by (ii) deep programmability interfaces, where the devices are configured by network functions to provide the required performance for the future applications on the Internet. This programmability allows a more refined (iii) end-to-end and multilayer orchestration, considering the quality of experience of the users for each type of applications over the network. This project will validate and demonstrate the proposed programmability and virtualization capabilities in three demonstrations, each one of them enabling the key performance demands of 5G networks: an internet of things demonstrator focusing on massive machine-type communication; a smart city demonstration for reliable and ultra-low latency flows; and a high bandwidth video demonstrator showcasing the next-generation mobile broadband. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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Scientific publications (17)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MIRANDA, GILSON JR JR; MUNICIO, ESTEBAN; MARQUEZ-BARJA, JOHANN M.; MACEDO, DANIEL FERNANDES; ZHANI, MF; LIMAM, N; BORYLO, P; BOUBENDIR, A; DOSSANTOS, CRP. Real-Time QoE Estimation for DASH Video Using Active Network Probing. 25TH CONFERENCE ON INNOVATION IN CLOUDS, INTERNET AND NETWORKS (ICIN 2022), v. N/A, p. 3-pg., . (20/05182-3, 18/23097-3)
HELAL, ALAN A.; VILLACA, RODOLFO S.; SANTOS, CELSO A. S.; COLISTETE, ROBERTO. An integrated solution of software and hardware for environmental monitoring. INTERNET OF THINGS, v. 19, p. 14-pg., . (20/05182-3)
ZIBETTI, GUILHERME ROTTH; WICKBOLDT, JULIANO ARAUJO; DE FREITAS, EDISON PIGNATON. Context-aware environment monitoring to support LPWAN-based battlefield applications. COMPUTER COMMUNICATIONS, v. 189, p. 10-pg., . (20/05182-3)
DE BRITO GONCALVES, JOAO PAULO; ALOCHIO, GUSTAVO; VILLACA, RODOLFO DA SILVA; GOMES, ROBERTA LIMA; IEEE COMP SOC. Data Integrity Verification in Network Slicing using Oracles and Smart Contracts. 2022 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2022), v. N/A, p. 6-pg., . (20/05182-3)
XAVIER, BRUNO MISSI; SILVA GUIMARAES, RAFAEL; COMARELA, GIOVANNI; MARTINELLO, MAGNOS. MAP4: A Pragmatic Framework for In-Network Machine Learning Traffic Classification. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, v. 19, n. 4, p. 13-pg., . (20/05182-3, 20/05174-0, 18/23097-3)
RIBEIRO, IRAN F.; CALMON, VITOR F.; SILVA, THIAGO H.; SANTOS, CELSO A. S.; MOTA, VINICIUS; IEEE. Evaluating Weather Influence on User Participation in a Crowd-sensing Application. 2023 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS, ICNC, v. N/A, p. 6-pg., . (20/05182-3, 18/23011-1)
NAVARRO DO AMARAL, THIAGO A.; ROSA, RAPHAEL, V; CRUZ MOURA, DAVID F.; ROTHENBERG, CHRISTIAN ESTEVE. Run-Time Adaptive In-Kernel BPF/XDP Solution for 5G UPF. ELECTRONICS, v. 11, n. 7, p. 19-pg., . (18/23101-0, 20/05182-3)
MIRANDA, GILSON, JR.; MACEDO, DANIEL FERNANDES; MARQUEZ-BARJA, JOHANN M.. Estimating Video on Demand QoE From Network QoS Through ICMP Probes. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, v. 19, n. 2, p. 13-pg., . (20/05182-3, 18/23097-3)
SILVEIRA, LUCAS B. D.; DE RESENDE, HENRIQUE C.; BOTH, CRISTIANO B.; MARQUEZ-BARJA, JOHANN M.; SILVESTRE, BRUNO; CARDOSO, KLEBER, V. Tutorial on communication between access networks and the 5G core. Computer Networks, v. 216, p. 15-pg., . (20/05182-3, 18/23097-3, 20/05127-2)
NAVARRO DO AMARAL, THIAGO A.; ROSA, RAPHAEL, V; MOURA, DAVID F. CRUZ; ROTHENBERG, CHRISTIAN E.; CHEMOUIL, P; ULEMA, M; CLAYMAN, S; SAYIT, M; CETINKAYA, C; SECCI, S. An In-Kernel Solution Based on XDP for 5G UPF: Design, Prototype and Performance Evaluation. PROCEEDINGS OF THE 2021 17TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM 2021): SMART MANAGEMENT FOR FUTURE NETWORKS AND SERVICES, v. N/A, p. 7-pg., . (20/05182-3, 18/23101-0)
DE BRITO GONCALVES, JOAO PAULO; VILLACA, RODOLFO DA SILVA; IEEE COMP SOC. A Blockchained Incentive Architecture for Federated Learning. 2022 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2022), v. N/A, p. 6-pg., . (20/05182-3)
MAFIOLETTI, DIEGO ROSSI; MARTINELLO, MAGNOS; RIBEIRO, MOISES R. N.; RUFFINI, MARCO; SLYNE, FRANK; IEEE; CHARALAMBIDES, M; PAPADIMITRIOU, P; CERRONI, W; KANHERE, S; et al. To Embed or Not to Embed SHA in Programmable Network Interface Cards. 2022 18TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM 2022): INTELLIGENT MANAGEMENT OF DISRUPTIVE NETWORK TECHNOLOGIES AND SERVICES, v. N/A, p. 7-pg., . (18/23097-3, 20/05182-3)
MIRANDA, GILSON, JR.; MUNICIO, ESTEBAN; MARQUEZ-BARJA, JOHANN M.; MACEDO, DANIEL FERNANDES; ZHANI, MF; LIMAM, N; BORYLO, P; BOUBENDIR, A; DOSSANTOS, CRP. Machine Learning-based End-to-End QoE Monitoring Using Active Network Probing. 25TH CONFERENCE ON INNOVATION IN CLOUDS, INTERNET AND NETWORKS (ICIN 2022), v. N/A, p. 8-pg., . (18/23097-3, 20/05182-3)
MARTINEZ, VICTOR M. G.; DO NASCIMENTO, DAVID A.; CAMPELO, DIVANILSON R.; MELLO, RICARDO C.; RIBEIRO, MOISES R. N.; IEEE. On Latency Bounds for ROS Messaging in Cloud-Enabled Mobile Robots. 2022 IEEE 8TH WORLD FORUM ON INTERNET OF THINGS, WF-IOT, v. N/A, p. 6-pg., . (20/05182-3, 18/23097-3)
BORGES, EVERSON SCHERRER; BONELLA, VITOR BERGER; DOS SANTOS, ABRADO JESUS; MENEGUETI, GABRIEL TETZNER; DOMINICINI, CRISTINA KLIPPEL; MARTINELLO, MAGNOS; BERNARDOS, CJ; MARTINI, B; ROJAS, E; VERDI, FL; et al. In-situ Proof-of-Transit for Path-Aware Programmable Networks. 2023 IEEE 9TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION, NETSOFT, v. N/A, p. 8-pg., . (20/05182-3, 20/05174-0)
GUIMARAES, RAFAEL S.; DOMINICINI, CRISTINA; MARTINEZ, VICTOR M. G.; XAVIER, BRUNO M.; MAFIOLETTI, DIEGO R.; LOCATELI, ANA C.; VILLACA, RODOLFO; MARTINELLO, MAGNOS; RIBEIRO, MOISES R. N.. M-PolKA: Multipath Polynomial Key-Based Source Routing for Reliable Communications. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, v. 19, n. 3, p. 13-pg., . (20/05182-3, 20/05174-0, 18/23097-3)
DE BRITO GONCALVES, JOAO PAULO; SPELTA, GABRIEL; VILLACA, RODOLFO DA SILVA; GOMES, ROBERTA LIMA; IEEE COMP SOC. IoT Data Storage on a Blockchain Using Smart Contracts and IPFS. 2022 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2022), v. N/A, p. 4-pg., . (20/05182-3)

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