2025
Jose Marcos Silva Nogueira, Paulo Henrique Lopes Rettore, Clayson Sandro Francisco Sousa Celes, Fernando Garcia Diniz Campos Ferreira, Daniel Fernandes Macedo, Juliano Araujo Wickboldt, Vinícius Fernandes Soares Mota, Magnos Martinello, Rodolfo Silva Villaça, Cristiano Bonato Both, Christian Rodolfo Esteve Rothenberg
PORVIR-5G: Programmability, ORchestration, and VIRtualization of next-generation networks Journal Article
In: Annals of Telecommunications, 2025, ISSN: 1958-9395, (In press).
Abstract Links BibTeX Tags: 5G Network Orchestration Network Virtualization & Slicing Softwarized & Programmable Networks
@article{journals/annalsoftelecom/NogueiraPorvir25,
title = {PORVIR-5G: Programmability, ORchestration, and VIRtualization of next-generation networks},
author = {Jose Marcos Silva Nogueira and Paulo Henrique Lopes Rettore and Clayson Sandro Francisco Sousa Celes and Fernando Garcia Diniz Campos Ferreira and Daniel Fernandes Macedo and Juliano Araujo Wickboldt and Vinícius Fernandes Soares Mota and Magnos Martinello and Rodolfo Silva Villaça and Cristiano Bonato Both and Christian Rodolfo Esteve Rothenberg},
url = {https://link.springer.com/article/10.1007/s12243-025-01136-7},
doi = {10.1007/s12243-025-01136-7},
issn = {1958-9395},
year = {2025},
date = {2025-12-18},
urldate = {2025-12-18},
journal = {Annals of Telecommunications},
abstract = {This paper describes the goals, current state, and future directions of the PORVIR-5G project, which aims to develop and demonstrate a programmable fronthaul and backhaul integrating wireless with optical-packet networks and cloud computing solutions. The project exploits virtual network splits that optimize resource allocation across the wireless, optical, packet, and compute/storage domains. The key enablers for PORVIR-5G are (i) packet slicing, wireless, and optical resources, controlled by (ii) deep programmability interfaces, where devices are configured by network functions to provide the required performance for future applications on the Internet. This programmability allows for a more refined (iii) end-to-end and multilayer orchestration, considering the users’ quality of experience (QoE) for each type of application over the network. This paper also validates and demonstrates the proposed programmability and virtualization capabilities of the PORVIR-5G through demonstrations, thereby enabling the key performance demands of 5G networks.},
note = {In press},
keywords = {5G, Network Orchestration, Network Virtualization & Slicing, Softwarized & Programmable Networks},
pubstate = {published},
tppubtype = {article}
}
This paper describes the goals, current state, and future directions of the PORVIR-5G project, which aims to develop and demonstrate a programmable fronthaul and backhaul integrating wireless with optical-packet networks and cloud computing solutions. The project exploits virtual network splits that optimize resource allocation across the wireless, optical, packet, and compute/storage domains. The key enablers for PORVIR-5G are (i) packet slicing, wireless, and optical resources, controlled by (ii) deep programmability interfaces, where devices are configured by network functions to provide the required performance for future applications on the Internet. This programmability allows for a more refined (iii) end-to-end and multilayer orchestration, considering the users’ quality of experience (QoE) for each type of application over the network. This paper also validates and demonstrates the proposed programmability and virtualization capabilities of the PORVIR-5G through demonstrations, thereby enabling the key performance demands of 5G networks.
Maiko Andrade, Juliano Araujo Wickboldt
A Study on 5G Network Slice Isolation Based on Native Cloud and Edge Computing Tools Journal Article
In: Journal of Network and Systems Management (JNSM), 33 (90), 2025, ISSN: 1573-7705.
Abstract Links BibTeX Tags: 5G Cloud Computing Fog & Edge Computing Network Virtualization & Slicing
@article{journals/jnsm/Andrade5GSlice25,
title = {A Study on 5G Network Slice Isolation Based on Native Cloud and Edge Computing Tools},
author = {Maiko Andrade and Juliano Araujo Wickboldt},
url = {https://link.springer.com/article/10.1007/s10922-025-09958-5},
doi = {10.1007/s10922-025-09958-5},
issn = {1573-7705},
year = {2025},
date = {2025-07-09},
urldate = {2025-07-09},
journal = {Journal of Network and Systems Management (JNSM)},
volume = {33},
number = {90},
abstract = {5G networks support various advanced applications through network slicing, network function virtualization (NFV), and edge computing, ensuring low latency and service isolation. However, private 5G networks relying on open-source tools still face challenges in maturity and integration with edge/cloud platforms, compromising proper slice isolation. This study investigates resource allocation mechanisms to address this issue, conducting experiments in a hospital scenario with medical video conferencing. The results show that CPU limitations improve the performance of prioritized slices, while memory restrictions have minimal impact. The generated data and scripts have been made publicly available for future research and machine learning applications.},
keywords = {5G, Cloud Computing, Fog & Edge Computing, Network Virtualization & Slicing},
pubstate = {published},
tppubtype = {article}
}
5G networks support various advanced applications through network slicing, network function virtualization (NFV), and edge computing, ensuring low latency and service isolation. However, private 5G networks relying on open-source tools still face challenges in maturity and integration with edge/cloud platforms, compromising proper slice isolation. This study investigates resource allocation mechanisms to address this issue, conducting experiments in a hospital scenario with medical video conferencing. The results show that CPU limitations improve the performance of prioritized slices, while memory restrictions have minimal impact. The generated data and scripts have been made publicly available for future research and machine learning applications.
Carlos Eduardo Menin, Igor Martins Silva, Vinícius Boff Alves, Gabriel Lando, Cristiano Bonato Both, José Marcos Silva Nogueira, Juliano Araujo Wickboldt
Enabling cloud-native observability for white-box performance analysis of the 5G core Inproceedings
In: 38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025, Honolulu, HI, USA, May 12-16, 2025, pp. 1–6, IEEE, 2025, ISSN: 2374-9709, (Experience session paper).
Abstract Links BibTeX Tags: 5G Microservices Network Virtualization & Slicing Observability
@inproceedings{conf/noms/Menin5GCore25,
title = {Enabling cloud-native observability for white-box performance analysis of the 5G core},
author = {Carlos Eduardo Menin and Igor Martins Silva and Vinícius Boff Alves and Gabriel Lando and Cristiano Bonato Both and José Marcos Silva Nogueira and Juliano Araujo Wickboldt},
url = {https://ieeexplore.ieee.org/abstract/document/11073613},
doi = {10.1109/NOMS57970.2025.11073613},
issn = {2374-9709},
year = {2025},
date = {2025-05-12},
urldate = {2025-05-12},
booktitle = {38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025, Honolulu, HI, USA, May 12-16, 2025},
pages = {1--6},
publisher = {IEEE},
abstract = {The fifth generation of mobile networks (5G) has introduced significant advancements in data transfer rates, latency, and device density, empowered by softwarization, virtualization, and disaggregation of network functions. Open-source initiatives have played a crucial role in enabling software-based 5G network deployments on commodity hardware, driving the growth of private 5G networks and testbeds, and fostering research and innovation in the field. However, the maturity level of such open-source technologies is still insufficient for highly performant large-scale deployments. Current 5G performance testing methodologies rely predominantly on a black-box approach, which overlooks the complexity of interactions between 5G core components, limiting the ability to explain performance bottlenecks. To address this limitation, this paper proposes a new observability-driven methodology for 5G core network performance testing, which improves visibility into internal component interactions. We contribute to research and innovation in 5G and beyond field by (i) implementing testing workloads that are able to simulate varying user arrival rates and (ii) integrate a set of cloud-native observability tools to allow white-box performance evaluation of the 5G core.},
note = {Experience session paper},
keywords = {5G, Microservices, Network Virtualization & Slicing, Observability},
pubstate = {published},
tppubtype = {inproceedings}
}
The fifth generation of mobile networks (5G) has introduced significant advancements in data transfer rates, latency, and device density, empowered by softwarization, virtualization, and disaggregation of network functions. Open-source initiatives have played a crucial role in enabling software-based 5G network deployments on commodity hardware, driving the growth of private 5G networks and testbeds, and fostering research and innovation in the field. However, the maturity level of such open-source technologies is still insufficient for highly performant large-scale deployments. Current 5G performance testing methodologies rely predominantly on a black-box approach, which overlooks the complexity of interactions between 5G core components, limiting the ability to explain performance bottlenecks. To address this limitation, this paper proposes a new observability-driven methodology for 5G core network performance testing, which improves visibility into internal component interactions. We contribute to research and innovation in 5G and beyond field by (i) implementing testing workloads that are able to simulate varying user arrival rates and (ii) integrate a set of cloud-native observability tools to allow white-box performance evaluation of the 5G core.
2023
Joberto Sérgio Barbosa Martins, Tereza Cristina Melo Brito Carvalho, Rodrigo Moreira, Cristiano Bonato Both, Adnei Donatti, João H. Corrêa, José Augusto Suruagy Monteiro, Sand Luz Corrêa, Antônio Jorge Gomes Abelém, Moisés Renato Nunes Ribeiro, José Marcos Silva Nogueira, Luiz Claudio Schara Magalhães, Juliano Araujo Wickboldt, Tiago Coelho Ferreto, Ricardo Mello, Rafael Pasquini, Marcos Schwarz, Leobino Nascimento Sampaio, Daniel Fernandes Macedo, José Ferreira Rezende, Kleber Vieira Cardoso, Flávio Oliveira Silva
Enhancing Network Slicing Architectures With Machine Learning, Security, Sustainability and Experimental Networks Integration Journal Article
In: IEEE Access, 11 , pp. 69144-69163, 2023.
Abstract Links BibTeX Tags: Experimental Approach Machine Learning Network Orchestration Network Security Network Virtualization & Slicing
@article{journal/access/MartinsSFI223,
title = {Enhancing Network Slicing Architectures With Machine Learning, Security, Sustainability and Experimental Networks Integration},
author = {Joberto Sérgio Barbosa Martins and Tereza Cristina Melo Brito Carvalho and Rodrigo Moreira and Cristiano Bonato Both and Adnei Donatti and João H. Corrêa and José Augusto Suruagy Monteiro and Sand Luz Corrêa and Antônio Jorge Gomes Abelém and Moisés Renato Nunes Ribeiro and José Marcos Silva Nogueira and Luiz Claudio Schara Magalhães and Juliano Araujo Wickboldt and Tiago Coelho Ferreto and Ricardo Mello and Rafael Pasquini and Marcos Schwarz and Leobino Nascimento Sampaio and Daniel Fernandes Macedo and José Ferreira Rezende and Kleber Vieira Cardoso and Flávio Oliveira Silva},
doi = {10.1109/ACCESS.2023.3292788},
year = {2023},
date = {2023-07-05},
journal = {IEEE Access},
volume = {11},
pages = {69144-69163},
abstract = {Network Slicing (NS) is an essential technique extensively used in 5G networks computing strategies, mobile edge computing, mobile cloud computing, and verticals like the Internet of Vehicles and industrial IoT, among others. NS is foreseen as one of the leading enablers for 6G futuristic and highly demanding applications since it allows the optimization and customization of scarce and disputed resources among dynamic, demanding clients with highly distinct application requirements. Various standardization organizations, like 3GPP’s proposal for new generation networks and state-of-the-art 5G/6G research projects, are proposing new NS architectures. However, new NS architectures have to deal with an extensive range of requirements that inherently result in having NS architecture proposals typically fulfilling the needs of specific sets of domains with commonalities. The Slicing Future Internet Infrastructures (SFI2) architecture proposal explores the gap resulting from the diversity of NS architectures target domains by proposing a new NS reference architecture with a defined focus on integrating experimental networks and enhancing the NS architecture with Machine Learning (ML) native optimizations, energy-efficient slicing, and slicing-tailored security functionalities. The SFI2 architectural main contribution includes the utilization of the slice-as-a-service paradigm for end-to-end orchestration of resources across multi-domains and multi-technology experimental networks. In addition, the SFI2 reference architecture instantiations will enhance the multi-domain and multi-technology integrated experimental network deployment with native ML optimization, energy-efficient aware slicing, and slicing-tailored security functionalities for the practical domain.},
keywords = {Experimental Approach, Machine Learning, Network Orchestration, Network Security, Network Virtualization & Slicing},
pubstate = {published},
tppubtype = {article}
}
Network Slicing (NS) is an essential technique extensively used in 5G networks computing strategies, mobile edge computing, mobile cloud computing, and verticals like the Internet of Vehicles and industrial IoT, among others. NS is foreseen as one of the leading enablers for 6G futuristic and highly demanding applications since it allows the optimization and customization of scarce and disputed resources among dynamic, demanding clients with highly distinct application requirements. Various standardization organizations, like 3GPP’s proposal for new generation networks and state-of-the-art 5G/6G research projects, are proposing new NS architectures. However, new NS architectures have to deal with an extensive range of requirements that inherently result in having NS architecture proposals typically fulfilling the needs of specific sets of domains with commonalities. The Slicing Future Internet Infrastructures (SFI2) architecture proposal explores the gap resulting from the diversity of NS architectures target domains by proposing a new NS reference architecture with a defined focus on integrating experimental networks and enhancing the NS architecture with Machine Learning (ML) native optimizations, energy-efficient slicing, and slicing-tailored security functionalities. The SFI2 architectural main contribution includes the utilization of the slice-as-a-service paradigm for end-to-end orchestration of resources across multi-domains and multi-technology experimental networks. In addition, the SFI2 reference architecture instantiations will enhance the multi-domain and multi-technology integrated experimental network deployment with native ML optimization, energy-efficient aware slicing, and slicing-tailored security functionalities for the practical domain.
Gabriel Lando, Lucas Augusto Fonseca Schierholt, Mateus Paludo Milesi, Juliano Araujo Wickboldt
Evaluating the performance of open source software implementations of the 5G network core Inproceedings
In: 36th IEEE/IFIP Network Operations and Management Symposium, NOMS 2023, Miami, FL, USA, May 8-12, 2023, pp. 1–7, IEEE, 2023, ISSN: 2374-9709, (Mini conference paper).
Abstract Links BibTeX Tags: 5G Microservices Network Virtualization & Slicing
@inproceedings{conf/noms/Lando5GCore23,
title = {Evaluating the performance of open source software implementations of the 5G network core},
author = {Gabriel Lando and Lucas Augusto Fonseca Schierholt and Mateus Paludo Milesi and Juliano Araujo Wickboldt},
url = {https://ieeexplore.ieee.org/document/10154399},
doi = {10.1109/NOMS56928.2023.10154399},
issn = {2374-9709},
year = {2023},
date = {2023-05-08},
urldate = {2023-05-08},
booktitle = {36th IEEE/IFIP Network Operations and Management Symposium, NOMS 2023, Miami, FL, USA, May 8-12, 2023},
pages = {1--7},
publisher = {IEEE},
abstract = {Open source implementations of software-based network components have become a viable alternative to deploy and operate 5G networks. Although these implementations provide great flexibility, overall network performance becomes dependent not only on the choice of the software stack, but also on its combination with suitable hardware. In this context, performance testing becomes an essential tool to assess the behavior of these software-based mobile networks under different deployment scenarios. Therefore, the goal of this work is to analyze how the different open source implementations of the 5G network core behave for the execution of procedures at scale. To achieve this goal, we propose and apply performance tests on some of the main open source implementations of the 5G network core. We focus on the evaluation of the performance of two essential procedures: (i) the user equipment registration and session establishment and (ii) the streaming of user data over parallel data plane connections. Among the main results obtained, it was possible to observe that the open source implementation free5GC presents better performance regarding data plane bit rates, while Open5GS shows better stability during the registration process of multiple devices.},
note = {Mini conference paper},
keywords = {5G, Microservices, Network Virtualization & Slicing},
pubstate = {published},
tppubtype = {inproceedings}
}
Open source implementations of software-based network components have become a viable alternative to deploy and operate 5G networks. Although these implementations provide great flexibility, overall network performance becomes dependent not only on the choice of the software stack, but also on its combination with suitable hardware. In this context, performance testing becomes an essential tool to assess the behavior of these software-based mobile networks under different deployment scenarios. Therefore, the goal of this work is to analyze how the different open source implementations of the 5G network core behave for the execution of procedures at scale. To achieve this goal, we propose and apply performance tests on some of the main open source implementations of the 5G network core. We focus on the evaluation of the performance of two essential procedures: (i) the user equipment registration and session establishment and (ii) the streaming of user data over parallel data plane connections. Among the main results obtained, it was possible to observe that the open source implementation free5GC presents better performance regarding data plane bit rates, while Open5GS shows better stability during the registration process of multiple devices.
Rafael de Jesus Martins, Juliano Araujo Wickboldt, Lisandro Zambenedetti Granville
Assisted Monitoring and Security Provisioning for 5G Microservices-Based Network Slices with SWEETEN Journal Article
In: Journal of Network and Systems Management (JNSM), 31 (2), pp. 36, 2023, ISSN: 1573-7705.
Abstract Links BibTeX Tags: 5G Cloud Computing Microservices Network Orchestration Network Security Network Virtualization & Slicing
@article{journals/jnsm/Martins5GMS23,
title = {Assisted Monitoring and Security Provisioning for 5G Microservices-Based Network Slices with SWEETEN},
author = {Rafael de Jesus Martins and Juliano Araujo Wickboldt and Lisandro Zambenedetti Granville},
url = {https://link.springer.com/article/10.1007/s10922-023-09728-1},
doi = {10.1007/s10922-023-09728-1},
issn = {1573-7705},
year = {2023},
date = {2023-02-12},
urldate = {2023-02-12},
journal = {Journal of Network and Systems Management (JNSM)},
volume = {31},
number = {2},
pages = {36},
abstract = {5G networks have imposed a drastic shift in how mobile telecommunications must operate. In order to comply with the new requirements, solutions based on network function virtualization (NFV) and network slicing must be carried out. Regarding NFV in particular, the trend towards pulverizing the monolithic software in a microservices-based one carries network management challenges to operators. The deployment and integration of one or more network management software with the managed services is as important as it is delicate, as stringent requirements of 5G applications must be respected. In this paper, we propose SWEETEN as a solution for automating the deployment and transparently integrating network management solutions from different management disciplines, in this case, monitoring and security. Demonstrating its usability through a intelligent healthcare use case, SWEETEN is shown to transparently provide monitoring and security solutions for a complete network slice, enabling compliance with privacy requirements through minimal low-level interventions from the network slice tenant. The results show how SWEETEN integration of monitoring and security disciplines can assist users in guaranteeing the correct operation of their deployments regardless of the underlying software solutions used.},
keywords = {5G, Cloud Computing, Microservices, Network Orchestration, Network Security, Network Virtualization & Slicing},
pubstate = {published},
tppubtype = {article}
}
5G networks have imposed a drastic shift in how mobile telecommunications must operate. In order to comply with the new requirements, solutions based on network function virtualization (NFV) and network slicing must be carried out. Regarding NFV in particular, the trend towards pulverizing the monolithic software in a microservices-based one carries network management challenges to operators. The deployment and integration of one or more network management software with the managed services is as important as it is delicate, as stringent requirements of 5G applications must be respected. In this paper, we propose SWEETEN as a solution for automating the deployment and transparently integrating network management solutions from different management disciplines, in this case, monitoring and security. Demonstrating its usability through a intelligent healthcare use case, SWEETEN is shown to transparently provide monitoring and security solutions for a complete network slice, enabling compliance with privacy requirements through minimal low-level interventions from the network slice tenant. The results show how SWEETEN integration of monitoring and security disciplines can assist users in guaranteeing the correct operation of their deployments regardless of the underlying software solutions used.
2020
Rafael de Jesus Martins, Cristiano Bonato Both, Juliano Araujo Wickboldt, Lisandro Zambenedetti Granville
Virtual Network Functions Migration Cost: from Identification to Prediction Journal Article
In: Elsevier Computer Networks, 181 , pp. 107429, 2020, ISSN: 1389-1286.
Abstract Links BibTeX Tags: Container Management & Orchestration Network Orchestration Network Virtualization & Slicing
@article{journal/cn/Martins20,
title = {Virtual Network Functions Migration Cost: from Identification to Prediction},
author = {Rafael de Jesus Martins and Cristiano Bonato Both and Juliano Araujo Wickboldt and Lisandro Zambenedetti Granville},
url = {http://www.sciencedirect.com/science/article/pii/S138912862031118X},
doi = {10.1016/j.comnet.2020.107429},
issn = {1389-1286},
year = {2020},
date = {2020-11-09},
urldate = {2020-11-09},
journal = {Elsevier Computer Networks},
volume = {181},
pages = {107429},
abstract = {The advent of the function virtualization concept, especially that of network functions, leads to important benefits for future networks. Although the orchestration of virtualized functions presents gains for network operators and clients alike, the overhead for moving functions has not been thoroughly explored so far, especially considering functions virtualized by using container technologies. In this work, we investigate orchestration costs associated with the migration of containerized virtual functions. To this end, we first perform a systematic literature review on state-of-the-art virtual function migration costs, electing time and data transferred as so. We then use a well-known container platform (LXD) to perform several orchestration experiments in a controlled environment. By analyzing the container migration process in smaller complementary steps, and designing experiments to evaluate them individually, a pattern for migration costs is observed. Linear regression is then used to derive a prediction model for the necessary time and data transferring for performing a container migration. To assess the predictor’s accuracy, we present a cloud computing use case where the predictor is deployed. Results indicate that predictions can be accurate within reasonable range, and therefore orchestration algorithms may be improved by accounting for similar prediction models when determining the migration of one or more virtualized functions.},
keywords = {Container Management & Orchestration, Network Orchestration, Network Virtualization & Slicing},
pubstate = {published},
tppubtype = {article}
}
The advent of the function virtualization concept, especially that of network functions, leads to important benefits for future networks. Although the orchestration of virtualized functions presents gains for network operators and clients alike, the overhead for moving functions has not been thoroughly explored so far, especially considering functions virtualized by using container technologies. In this work, we investigate orchestration costs associated with the migration of containerized virtual functions. To this end, we first perform a systematic literature review on state-of-the-art virtual function migration costs, electing time and data transferred as so. We then use a well-known container platform (LXD) to perform several orchestration experiments in a controlled environment. By analyzing the container migration process in smaller complementary steps, and designing experiments to evaluate them individually, a pattern for migration costs is observed. Linear regression is then used to derive a prediction model for the necessary time and data transferring for performing a container migration. To assess the predictor’s accuracy, we present a cloud computing use case where the predictor is deployed. Results indicate that predictions can be accurate within reasonable range, and therefore orchestration algorithms may be improved by accounting for similar prediction models when determining the migration of one or more virtualized functions.
Henrique Cesar Carvalho de Resende, Matias Artur Klafke Schimuneck, Cristiano Bonato Both, Juliano Araujo Wickboldt, Johann M. Márquez-Barja
COPA: Experimenter-level Container Orchestration for Networking Testbeds Journal Article
In: IEEE Access, 8 , pp. 201781-201798, 2020, ISSN: 2169-3536.
Abstract Links BibTeX Tags: 5G Cloud Computing Container Management & Orchestration Fog & Edge Computing Network Orchestration Network Virtualization & Slicing
@article{journal/access/Resende20,
title = {COPA: Experimenter-level Container Orchestration for Networking Testbeds},
author = {Henrique Cesar Carvalho de Resende and Matias Artur Klafke Schimuneck and Cristiano Bonato Both and Juliano Araujo Wickboldt and Johann M. Márquez-Barja},
url = {https://ieeexplore.ieee.org/document/9247110},
doi = {10.1109/ACCESS.2020.3035619},
issn = {2169-3536},
year = {2020},
date = {2020-11-03},
urldate = {2020-11-03},
journal = {IEEE Access},
volume = {8},
pages = {201781-201798},
abstract = {As Cloud Computing (CC) branched areas such as Multi-access Edge Computing (MEC) and Fog computing are still on growing research interest. The creation of new tools to improve quality and speed the experimentation in such areas is a general interest. In this article, we propose COPA, an experimenter-level container orchestration tool for networking testbeds. This tool provides a friendly interface for the experimenter test container orchestration algorithms which can start, stop, copy, and even migrate a container from one host to another. COPA also includes network/resources monitoring to feed the experimenter’s orchestration algorithm so that it can make decisions based on real-time environment information. Furthermore, the experimenter can automatize the experiment scenario setup and deployment by pre-configuring in COPA. This tool helps the experimenter in testing different scenarios and quickly changing experiment parameters. Considering these features, COPA aims to provide an experimentation architecture to deploy and test container orchestration algorithms. Furthermore, we provide a case study explaining how COPA can be a key tool in the MEC and Network Function Virtualization (NFV) experimentation environments. This tool was already deployed in Federated Union of Telecommunications Research Facilities for an EU-Brazil Open Laboratory (FUTEBOL) testbeds as part of the control framework and was well validated by the project reviewers and partners.},
keywords = {5G, Cloud Computing, Container Management & Orchestration, Fog & Edge Computing, Network Orchestration, Network Virtualization & Slicing},
pubstate = {published},
tppubtype = {article}
}
As Cloud Computing (CC) branched areas such as Multi-access Edge Computing (MEC) and Fog computing are still on growing research interest. The creation of new tools to improve quality and speed the experimentation in such areas is a general interest. In this article, we propose COPA, an experimenter-level container orchestration tool for networking testbeds. This tool provides a friendly interface for the experimenter test container orchestration algorithms which can start, stop, copy, and even migrate a container from one host to another. COPA also includes network/resources monitoring to feed the experimenter’s orchestration algorithm so that it can make decisions based on real-time environment information. Furthermore, the experimenter can automatize the experiment scenario setup and deployment by pre-configuring in COPA. This tool helps the experimenter in testing different scenarios and quickly changing experiment parameters. Considering these features, COPA aims to provide an experimentation architecture to deploy and test container orchestration algorithms. Furthermore, we provide a case study explaining how COPA can be a key tool in the MEC and Network Function Virtualization (NFV) experimentation environments. This tool was already deployed in Federated Union of Telecommunications Research Facilities for an EU-Brazil Open Laboratory (FUTEBOL) testbeds as part of the control framework and was well validated by the project reviewers and partners.
Rafael de Jesus Martins, Juliano Araujo Wickboldt, Lisandro Zambenedetti Granville
SWEETEN: Automated Network Management Provisioning for 5G Microservices-Based Virtual Network Functions Inproceedings
In: 16th International Conference on Network and Service Management, CNSM 2020, Virtual Conference, November 2-6, 2020, pp. 1-9, International Federation for Information Processing (IFIP), Virtual Conference, 2020, ISBN: 978-3-903176-31-7.
Abstract Links BibTeX Tags: 5G Cloud Computing Microservices Network Orchestration Network Virtualization & Slicing
@inproceedings{conf/cnsm/Martins20,
title = {SWEETEN: Automated Network Management Provisioning for 5G Microservices-Based Virtual Network Functions},
author = {Rafael de Jesus Martins and Juliano Araujo Wickboldt and Lisandro Zambenedetti Granville},
url = {http://dl.ifip.org/db/conf/cnsm/cnsm2020/1570662948.pdf},
isbn = {978-3-903176-31-7},
year = {2020},
date = {2020-11-02},
booktitle = {16th International Conference on Network and Service Management, CNSM 2020, Virtual Conference, November 2-6, 2020},
pages = {1-9},
publisher = {International Federation for Information Processing (IFIP)},
address = { Virtual Conference},
abstract = {Forthcoming 5G systems promise a myriad of new and improved applications, relying on Network Functions Virtualization (NFV) to realize some of 5G's stringent requirements. To guarantee that these requirements are met, network monitoring and management must be deployed and fine-tuned according each application's specificity. As Virtual Network Functions (VNFs) adhere to the microservice paradigm, picking and configuring the right tools is not a trivial task for users. In this paper, we present SWEETEN, a system that assists user to operate a 5G network with the appropriate management tools for the job, in a transparent manner to the user. By enriching their function stack with high-level annotation of the management features they desire, users can easily deploy an augmented stack with both network and management functions. A prototype is presented and evaluated in a dynamic Cloud Radio Access Network (C-RAN) split case study. The evaluation confirms that SWEETEN can assist users in effortlessly deploying complex management solutions, while incurring in acceptable deployment time overhead and negligible computational overhead for throughout the functions life-cycle.},
keywords = {5G, Cloud Computing, Microservices, Network Orchestration, Network Virtualization & Slicing},
pubstate = {published},
tppubtype = {inproceedings}
}
Forthcoming 5G systems promise a myriad of new and improved applications, relying on Network Functions Virtualization (NFV) to realize some of 5G's stringent requirements. To guarantee that these requirements are met, network monitoring and management must be deployed and fine-tuned according each application's specificity. As Virtual Network Functions (VNFs) adhere to the microservice paradigm, picking and configuring the right tools is not a trivial task for users. In this paper, we present SWEETEN, a system that assists user to operate a 5G network with the appropriate management tools for the job, in a transparent manner to the user. By enriching their function stack with high-level annotation of the management features they desire, users can easily deploy an augmented stack with both network and management functions. A prototype is presented and evaluated in a dynamic Cloud Radio Access Network (C-RAN) split case study. The evaluation confirms that SWEETEN can assist users in effortlessly deploying complex management solutions, while incurring in acceptable deployment time overhead and negligible computational overhead for throughout the functions life-cycle.
Rafael de Jesus Martins, Rodolfo Bruno Hecht, Ederson Ribas Machado, Jéferson Campos Nobre, Juliano Araujo Wickboldt, Lisandro Zambenedetti Granville
Micro-service Based Network Management for Distributed Applications Inproceedings
In: 34th IEEE International Conference on Advanced Information Networking and Applications, AINA 2020, Caserta, Italy, April 15-17, 2020, pp. 922–933, Springer International Publishing, 2020, ISBN: 978-3-030-44041-1.
Abstract Links BibTeX Tags: Cloud Computing Microservices Network Orchestration Network Virtualization & Slicing
@inproceedings{conf/aina/Martins20,
title = {Micro-service Based Network Management for Distributed Applications},
author = {Rafael de Jesus Martins and Rodolfo Bruno Hecht and Ederson Ribas Machado and Jéferson Campos Nobre and Juliano Araujo Wickboldt and Lisandro Zambenedetti Granville},
url = {https://doi.org/10.1007/978-3-030-44041-1_80},
doi = {10.1007/978-3-030-44041-1_80},
isbn = {978-3-030-44041-1},
year = {2020},
date = {2020-04-15},
booktitle = {34th IEEE International Conference on Advanced Information Networking and Applications, AINA 2020, Caserta, Italy, April 15-17, 2020},
pages = {922--933},
publisher = {Springer International Publishing},
abstract = {Computer networks and their services have become increasingly dynamic with the introduction of concepts such as Network Functions Virtualization (NFV) and cloud computing. To understand and configure such a complex network to their best interests, users must use several management tools that they are not necessarily familiar with. In this paper, we present an architecture that provides network management for distributed applications as easy-to-use micro-services. Our solution is based on container virtualization technologies to offer, to the user, the maximum benefit through minimal cost. We present a proof-of-concept for our architecture through a use case. Our results show that acceptable overhead is added when deploying a solution for a distributed application, and negligible overhead is added by the management tools when the user application is under heavy stress.},
keywords = {Cloud Computing, Microservices, Network Orchestration, Network Virtualization & Slicing},
pubstate = {published},
tppubtype = {inproceedings}
}
Computer networks and their services have become increasingly dynamic with the introduction of concepts such as Network Functions Virtualization (NFV) and cloud computing. To understand and configure such a complex network to their best interests, users must use several management tools that they are not necessarily familiar with. In this paper, we present an architecture that provides network management for distributed applications as easy-to-use micro-services. Our solution is based on container virtualization technologies to offer, to the user, the maximum benefit through minimal cost. We present a proof-of-concept for our architecture through a use case. Our results show that acceptable overhead is added when deploying a solution for a distributed application, and negligible overhead is added by the management tools when the user application is under heavy stress.
Ariel Galante Dalla-Costa, Lucas Bondan, Juliano Araujo Wickboldt, Cristiano Bonato Both, Lisandro Zambenedetti Granville
Orchestra: A Customizable Split-Aware NFV Orchestrator for Dynamic C-RAN Journal Article
In: IEEE Journal on Selected Areas in Communications, 38 (6), pp. 1014–1024, 2020, ISSN: 0733-8716.
Abstract Links BibTeX Tags: 5G Cloud Computing Cloud Radio Access Networks (C-RAN) Network Orchestration Network Virtualization & Slicing Wireless Networks
@article{journals/jsac/DallaCosta20,
title = {Orchestra: A Customizable Split-Aware NFV Orchestrator for Dynamic C-RAN},
author = {Ariel Galante Dalla-Costa and Lucas Bondan and Juliano Araujo Wickboldt and Cristiano Bonato Both and Lisandro Zambenedetti Granville},
url = {https://ieeexplore.ieee.org/document/9060959},
doi = {10.1109/JSAC.2020.2986689},
issn = {0733-8716},
year = {2020},
date = {2020-04-08},
journal = {IEEE Journal on Selected Areas in Communications},
volume = {38},
number = {6},
pages = {1014--1024},
abstract = {Dynamic Cloud Radio Access Networks (C-RAN) is an emerging wireless architecture that splits radio functions in a hierarchical cloud-based infrastructure. In Dynamic C-RAN, wireless functionalities can be divided into smaller components and distributed along with a hierarchical cloud infrastructure. Network Functions Virtualization (NFV) concepts have been recently investigated to facilitate managementrelated operations of these wireless functionalities. Despite the advances in providing flexible NFV orchestration for Virtualized Network Functions (VNF)s, there is still a lack of solutions aware of VNFs internal composition, a key characteristic of split virtualized radio functions. In this article, we advance NFV orchestration in a Dynamic C-RAN scenario presenting Orchestra, a split-aware NFVO for Dynamic C-RAN with support to customizable orchestration algorithms for different radio function splits. Orchestra is validated through instantiates and migrates VNFCs following the decisions of personalized orchestration algorithms, with a petty impact in the VNFC’s deployment and migration time.},
keywords = {5G, Cloud Computing, Cloud Radio Access Networks (C-RAN), Network Orchestration, Network Virtualization & Slicing, Wireless Networks},
pubstate = {published},
tppubtype = {article}
}
Dynamic Cloud Radio Access Networks (C-RAN) is an emerging wireless architecture that splits radio functions in a hierarchical cloud-based infrastructure. In Dynamic C-RAN, wireless functionalities can be divided into smaller components and distributed along with a hierarchical cloud infrastructure. Network Functions Virtualization (NFV) concepts have been recently investigated to facilitate managementrelated operations of these wireless functionalities. Despite the advances in providing flexible NFV orchestration for Virtualized Network Functions (VNF)s, there is still a lack of solutions aware of VNFs internal composition, a key characteristic of split virtualized radio functions. In this article, we advance NFV orchestration in a Dynamic C-RAN scenario presenting Orchestra, a split-aware NFVO for Dynamic C-RAN with support to customizable orchestration algorithms for different radio function splits. Orchestra is validated through instantiates and migrates VNFCs following the decisions of personalized orchestration algorithms, with a petty impact in the VNFC’s deployment and migration time.
2019
Maicon Kist, Juliano Araujo Wickboldt, Lisandro Zambenedetti Granville, Juergen Rochol, Luiz A. DaSilva, Cristiano Bonato Both
Flexible fine-grained baseband processing with network functions virtualization: Benefits and impacts Journal Article
In: Elsevier Computer Networks, 151 , pp. 158–165, 2019, ISSN: 1389-1286.
Abstract Links BibTeX Tags: 5G Cloud Radio Access Networks (C-RAN) Network Virtualization & Slicing Software-Defined Radio (SDR) Wireless Networks
@article{journal/cn/Kist19,
title = {Flexible fine-grained baseband processing with network functions virtualization: Benefits and impacts},
author = {Maicon Kist and Juliano Araujo Wickboldt and Lisandro Zambenedetti Granville and Juergen Rochol and Luiz A. DaSilva and Cristiano Bonato Both},
url = {http://www.sciencedirect.com/science/article/pii/S1389128619301033},
doi = {10.1016/j.comnet.2019.01.021},
issn = {1389-1286},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
journal = {Elsevier Computer Networks},
volume = {151},
pages = {158--165},
abstract = {The increasing demand for wireless broadband connectivity is leading mobile network operators towards new means to expand their infrastructures efficiently and without increasing the cost of operation. Network Functions Virtualization (NFV) is a step towards virtualization-based, low-cost flexible and adaptable networking services. In the context of centralized baseband architectures, virtualization is already employed to run baseband processing units as software on top of conventional data center hardware. However, current virtualization solutions consider atomic virtualization, i.e., single virtual machines implementing all baseband functionalities. In this article, we propose the fine-grained virtualization of baseband processing to achieve a more flexible distribution of the processing workload in centralized architectures. We also evaluate the benefits of our approach in terms of: (i) The bandwidth requirements for each fine-grained distribution option, (ii) the latency experienced by mobile users for each fine-grained distribution option, and (iii) the total CPU usage of each fine-grained baseband processing function.},
keywords = {5G, Cloud Radio Access Networks (C-RAN), Network Virtualization & Slicing, Software-Defined Radio (SDR), Wireless Networks},
pubstate = {published},
tppubtype = {article}
}
The increasing demand for wireless broadband connectivity is leading mobile network operators towards new means to expand their infrastructures efficiently and without increasing the cost of operation. Network Functions Virtualization (NFV) is a step towards virtualization-based, low-cost flexible and adaptable networking services. In the context of centralized baseband architectures, virtualization is already employed to run baseband processing units as software on top of conventional data center hardware. However, current virtualization solutions consider atomic virtualization, i.e., single virtual machines implementing all baseband functionalities. In this article, we propose the fine-grained virtualization of baseband processing to achieve a more flexible distribution of the processing workload in centralized architectures. We also evaluate the benefits of our approach in terms of: (i) The bandwidth requirements for each fine-grained distribution option, (ii) the latency experienced by mobile users for each fine-grained distribution option, and (iii) the total CPU usage of each fine-grained baseband processing function.
2017
Ariel Galante Dalla-Costa, Lucas Bondan, Juliano Araujo Wickboldt, Cristiano Bonato Both, Lisandro Zambenedetti Granville
Maestro: An NFV Orchestrator for Wireless Environments Aware of VNF Internal Compositions Inproceedings
In: 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017, Taipei, Taiwan, March 27-29, 2017, pp. 484–491, IEEE Computer Society, 2017, ISSN: 1550-445X.
Abstract Links BibTeX Tags: 5G Cloud Radio Access Networks (C-RAN) Network Orchestration Network Virtualization & Slicing
@inproceedings{DBLP:conf/aina/Dalla-CostaBWBG17,
title = {Maestro: An NFV Orchestrator for Wireless Environments Aware of VNF Internal Compositions},
author = {Ariel Galante Dalla-Costa and Lucas Bondan and Juliano Araujo Wickboldt and Cristiano Bonato Both and Lisandro Zambenedetti Granville},
url = {https://doi.org/10.1109/AINA.2017.126},
doi = {10.1109/AINA.2017.126},
issn = {1550-445X},
year = {2017},
date = {2017-01-01},
booktitle = {31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017, Taipei, Taiwan, March 27-29, 2017},
pages = {484--491},
publisher = {IEEE Computer Society},
abstract = {Dynamic Cloud Radio Access Network (Dynamic C-RAN) is an emerging wireless architecture that aims for flexibility, business agility, adaptability, among other benefits. In a Dynamic C-RAN, wireless functionalities can be split into smaller components and distributed along a hierarchical cloud infrastructure. Network Functions Virtualization (NFV) concepts have been recently investigated to facilitate management-related operations of these wireless functionalities. Despite the many advocated advantages of the function's splitting and the effectiveness of NFV orchestration solutions, both academia and industry are considering Virtualized Network Functions (VNF)s as atomic elements, disregarding the potential advantages of splitting VNFs into several different components. Aiming to improve VNF orchestration in Dynamic C-RAN scenarios, in this paper we propose Maestro: an NFV orchestrator for wireless environments that is able to decide among several possible VNF compositions which are more suitable for each situation. Maestro is designed to operate using different decision mechanisms that can be defined based on network operators' needs. We evaluate the effectiveness of our proposal by modeling the orchestrator's decision mechanism as a linear programming problem. Thus, we show how fronthaul bandwidth consumption can be reduced threefold considering different VNF compositions against atomic VNF placement.},
keywords = {5G, Cloud Radio Access Networks (C-RAN), Network Orchestration, Network Virtualization & Slicing},
pubstate = {published},
tppubtype = {inproceedings}
}
Dynamic Cloud Radio Access Network (Dynamic C-RAN) is an emerging wireless architecture that aims for flexibility, business agility, adaptability, among other benefits. In a Dynamic C-RAN, wireless functionalities can be split into smaller components and distributed along a hierarchical cloud infrastructure. Network Functions Virtualization (NFV) concepts have been recently investigated to facilitate management-related operations of these wireless functionalities. Despite the many advocated advantages of the function's splitting and the effectiveness of NFV orchestration solutions, both academia and industry are considering Virtualized Network Functions (VNF)s as atomic elements, disregarding the potential advantages of splitting VNFs into several different components. Aiming to improve VNF orchestration in Dynamic C-RAN scenarios, in this paper we propose Maestro: an NFV orchestrator for wireless environments that is able to decide among several possible VNF compositions which are more suitable for each situation. Maestro is designed to operate using different decision mechanisms that can be defined based on network operators' needs. We evaluate the effectiveness of our proposal by modeling the orchestrator's decision mechanism as a linear programming problem. Thus, we show how fronthaul bandwidth consumption can be reduced threefold considering different VNF compositions against atomic VNF placement.
Ariel Galante Dalla-Costa, Matias Artur Klafke Schimuneck, Juliano Araujo Wickboldt, Cristiano Bonato Both, Luciano Paschoal Gaspary, Lisandro Zambenedetti Granville
NFV em Redes 5G: Avaliando o Desempenho de Composição de Funções Virtualizadas via Maestro Inproceedings
In: 35º Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, SBRC 2017, Belém, Brazil, May 15-19, 2017, pp. 960–973, SBC, 2017, ISSN: 2177-496X, (In portuguese).
Abstract Links BibTeX Tags: 5G Cloud Radio Access Networks (C-RAN) Network Orchestration Network Virtualization & Slicing
@inproceedings{conf/sbrc/DallaCosta17,
title = {NFV em Redes 5G: Avaliando o Desempenho de Composição de Funções Virtualizadas via Maestro},
author = {Ariel Galante Dalla-Costa and Matias Artur Klafke Schimuneck and Juliano Araujo Wickboldt and Cristiano Bonato Both and Luciano Paschoal Gaspary and Lisandro Zambenedetti Granville},
url = {https://sol.sbc.org.br/index.php/sbrc/article/view/2660},
issn = {2177-496X},
year = {2017},
date = {2017-01-01},
booktitle = {35º Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, SBRC 2017, Belém, Brazil, May 15-19, 2017},
pages = {960--973},
publisher = {SBC},
abstract = {Dynamic Cloud Radio Access Network (Dynamic C-RAN) is an architecture wireless that aims benefits such as flexibility and agility to new five generation (5G) network. In Dynamic C-RAN, the radio functions processing is distributed along of a hierarchical of clouds. Network Functions Virtualization has been investigated the facilities to employ this wireless functions. NFV offers orchestration of split of radio functions into Virtualized Network Functions (VNF). The orchestrator needs to consider strict requirements of C-RAN between distributed components of VNF to get real earnings. In this work, we propose a detailed evaluation of Maestro - an NFV orchestrator for wireless environments aware VNF composition. We evaluate Maestro through of linear model programming, considering the effectiveness and orchestration overhead for deciding the best place to VNF components. In addition, we evaluate the trade-off between network data rate and time to generate the placement of components.},
note = {In portuguese},
keywords = {5G, Cloud Radio Access Networks (C-RAN), Network Orchestration, Network Virtualization & Slicing},
pubstate = {published},
tppubtype = {inproceedings}
}
Dynamic Cloud Radio Access Network (Dynamic C-RAN) is an architecture wireless that aims benefits such as flexibility and agility to new five generation (5G) network. In Dynamic C-RAN, the radio functions processing is distributed along of a hierarchical of clouds. Network Functions Virtualization has been investigated the facilities to employ this wireless functions. NFV offers orchestration of split of radio functions into Virtualized Network Functions (VNF). The orchestrator needs to consider strict requirements of C-RAN between distributed components of VNF to get real earnings. In this work, we propose a detailed evaluation of Maestro - an NFV orchestrator for wireless environments aware VNF composition. We evaluate Maestro through of linear model programming, considering the effectiveness and orchestration overhead for deciding the best place to VNF components. In addition, we evaluate the trade-off between network data rate and time to generate the placement of components.
2015
Ricardo Luis dos Santos, Oscar Mauricio Caicedo Rendon, Juliano Araujo Wickboldt, Lisandro Zambenedetti Granville
App2net: A platform to transfer and configure applications on programmable virtual networks Inproceedings
In: 20th IEEE Symposium on Computers and Communication, ISCC 2015, Larnaca, Cyprus, July 6-9, 2015, pp. 315–322, IEEE Computer Society, 2015, ISBN: 978-1-4673-7194-0.
Abstract Links BibTeX Tags: Network Virtualization & Slicing Softwarized & Programmable Networks
@inproceedings{DBLP:conf/iscc/SantosRWG15,
title = {App2net: A platform to transfer and configure applications on programmable virtual networks},
author = {Ricardo Luis dos Santos and Oscar Mauricio Caicedo Rendon and Juliano Araujo Wickboldt and Lisandro Zambenedetti Granville},
url = {https://doi.org/10.1109/ISCC.2015.7405534},
doi = {10.1109/ISCC.2015.7405534},
isbn = {978-1-4673-7194-0},
year = {2015},
date = {2015-01-01},
urldate = {2015-01-01},
booktitle = {20th IEEE Symposium on Computers and Communication, ISCC 2015, Larnaca, Cyprus, July 6-9, 2015},
pages = {315--322},
publisher = {IEEE Computer Society},
abstract = {In programmable virtual networks, simple tasks, like installing software, can be extremely complex. This complexity occurs mainly because the code transfer and initial functional settings in network execution environments are not automated. In addition, the same tasks have different requirements in each service lifecycle stage. In this sense, we propose the App2net platform for enabling the transfer and configuration of network applications in programmable virtual networks that use heterogeneous execution environments. We also propose a taxonomy for grouping code transfer techniques and, based on such techniques, we develop models for code transfer. A prototype has been implemented and tested on realistic network topologies commonly found on the Internet. Results allow us to identify which models improve code transfer consuming fewer resources, regarding service lifecycle stages and network topologies.},
keywords = {Network Virtualization & Slicing, Softwarized & Programmable Networks},
pubstate = {published},
tppubtype = {inproceedings}
}
In programmable virtual networks, simple tasks, like installing software, can be extremely complex. This complexity occurs mainly because the code transfer and initial functional settings in network execution environments are not automated. In addition, the same tasks have different requirements in each service lifecycle stage. In this sense, we propose the App2net platform for enabling the transfer and configuration of network applications in programmable virtual networks that use heterogeneous execution environments. We also propose a taxonomy for grouping code transfer techniques and, based on such techniques, we develop models for code transfer. A prototype has been implemented and tested on realistic network topologies commonly found on the Internet. Results allow us to identify which models improve code transfer consuming fewer resources, regarding service lifecycle stages and network topologies.
2013
Wanderson Paim de Jesus, Juliano Araujo Wickboldt, Lisandro Zambenedetti Granville
ProViNet - An Open Platform for Programmable Virtual Network Management Inproceedings
In: 37th Annual IEEE Computer Software and Applications Conference, COMPSAC 2013, Kyoto, Japan, July 22-26, 2013, pp. 329–338, IEEE Computer Society, 2013, ISSN: 0730-3157.
Abstract Links BibTeX Tags: Network Virtualization & Slicing Softwarized & Programmable Networks
@inproceedings{DBLP:conf/compsac/JesusWG13,
title = {ProViNet - An Open Platform for Programmable Virtual Network Management},
author = {Wanderson Paim de Jesus and Juliano Araujo Wickboldt and Lisandro Zambenedetti Granville},
url = {https://doi.org/10.1109/COMPSAC.2013.58},
doi = {10.1109/COMPSAC.2013.58},
issn = {0730-3157},
year = {2013},
date = {2013-01-01},
urldate = {2013-01-01},
booktitle = {37th Annual IEEE Computer Software and Applications Conference, COMPSAC 2013, Kyoto, Japan, July 22-26, 2013},
pages = {329--338},
publisher = {IEEE Computer Society},
abstract = {The disheartening and thorny path followed while deploying new solutions in the core of current computer networks, culminates in a low rate of emergence of innovation. Several researches proposed applying Software Defined Networks (SDN) and the Network Virtualization (NV) concepts to reverse this rate. However, many gaps and open challenges were observed in the application of these concepts together. In this paper, we propose the ProViNet platform, which merge the SDN and NV concepts to provide a fast and safe deployment of innovations in the existing network infrastructure. ProViNet advance the state-of-art introducing the concept of Network Programming as a Service, in which applications are built simply by composing control plane services. Such approach encourages End-Users to develop and share novel network solutions, fostering innovation. To prove concept and technical feasibility, we evaluate ProViNet with a prototype that allowed demonstrating virtual network infrastructure provisioning and programming.},
keywords = {Network Virtualization & Slicing, Softwarized & Programmable Networks},
pubstate = {published},
tppubtype = {inproceedings}
}
The disheartening and thorny path followed while deploying new solutions in the core of current computer networks, culminates in a low rate of emergence of innovation. Several researches proposed applying Software Defined Networks (SDN) and the Network Virtualization (NV) concepts to reverse this rate. However, many gaps and open challenges were observed in the application of these concepts together. In this paper, we propose the ProViNet platform, which merge the SDN and NV concepts to provide a fast and safe deployment of innovations in the existing network infrastructure. ProViNet advance the state-of-art introducing the concept of Network Programming as a Service, in which applications are built simply by composing control plane services. Such approach encourages End-Users to develop and share novel network solutions, fostering innovation. To prove concept and technical feasibility, we evaluate ProViNet with a prototype that allowed demonstrating virtual network infrastructure provisioning and programming.