BU Research Team – (2010-x)
The RINA research team at Boston University is lead by John Day. BU has been awarded a number of grants from the National Science Foundation in order to continue investigating the fundamentals of RINA, develop an open source prototype implementation over UDP/IP for Java and experiment with it on top of the GENI infrastruct. BU is also a member of the Pouzin Society and an active contributor to the FP7 IRATI and PRISTINE projects. In addition to this, BU has incorporated the RINA concepts and theory in their computer networking courses.
TERMINET – (2021-2023)
The vision of TERMINET is to provide a novel next generation reference architecture based on cutting-edge technologies such as SDN, multiple-access edge computing, and virtualisation for next generation IoT, while introducing new, intelligent IoT devices for low-latency, market-oriented use cases. RINA is used as a low-latency and robust network architecture for communicating IoT devices to edge computing platforms via SDN-enabled gateways.
OPENVERSO – (2020-2023)
Open-VERSO, the Spanish National Network of Excellence in 5G and future technologies, has the main objective of addressing the design of an architecture for a comprehensive 5G network, evolvable to 6G technologies and aimed at creating a federated ecosystem that serves as a means of knowledge transfer to the industrial fabric. RINA is used as a network virtualisation solution to provide high-performance, dynamic and scalable virtual networks between Virtual Network Functions running in one or more datacentres.
OCARINA – (2016-2020)
OCARINA (Optimizations to Compel Adoption of RINA) is a Norwegian (Toppforsk) funded project of the University of Oslo with collaboration from Boston University, WIT-TSSG, Lancaster University and i2CAT. OCARINA will investigate, implement and experiment with congestion control, routing and forwarding policies for RINA. OCARINA will also investigate how RINA can be gradually deployed over/under/alongside the Internet, in order to move RINA closer to real world deployment and to motivate its adoption.
Implementations: OpenIRATI, RINAsim
ERASER – (2018)
ERASER (Experimenting with Real Application-specific QoS guaratees in a large ScalE RINA demonstrator) is a FED4FIRE+ open call funded project of the Universitat Politècnica de Catalunya. ERASER targets a larges-cale experimental evaluation of the real QoS guarantees that RINA can deliver to heterogeneous applications. A RINA test-bed composed of 87 nodes will be considered, emulating a 5G metro/regional network scenario spanning from the end-user terminal until the virtual machines where applications run in a datacentre. To illustrate the QoS capabilities of RINA, we have chosen high-definition video streaming as our test application, for which the end-user quality of experience will be validated under different load conditions by injecting synthetic traffic in the network reproducing real application traffic.
H2020 ARCFIRE – (2016-2018)
ARCFIRE is an H2020-funded project with 6 partners: Ericsson, i2CAT, Nextworks, Telefonica, iMinds and Boston University; whose main goal is to experimentally demonstrate the RINA benefits at large scale running 4 big experiments on the FIRE+ experimental facilities: i) Management of multi-layer converged service provider networks; ii) Deploying resilient, virtualised services over heterogeneous physical media; iii) End-to-end service provisioning across multiple network service providers and iv) Studying the effects of (Distributed) Denial of Services (D)DoS attacks inside and over RINA networks.
RINAiSense – (2015-2018)
RINAiSense is a FWO funded project of the University of KU Leuven and the University of Ghent. The RINAiSense project will improve the scalability and security of Wireless Sensor Networks, while investigating the applicability of RINA to resource-constrained systems. RINAiSense will investigate how advanced software composition techniques can be used to minimize the footprint of the RINA stack on an embedded device and thus free-up mote resources for higher-level applications. The proposed research lays the fundamental foundation for technologies that will impact logistics, smart clothing and e-health.
FP7 PRISTINE – (2014-2016)
PRISTINE is an FP7-funded project with 15 partners: WIT-TSSG, i2CAT, Nextworks, Telefonica I+D, Thales, Nexedi, BISDN, Atos, University of Oslo, Juniper Networks, Brno University, IMT-TSP, CREATE-NET, iMinds and UPC; whose main goal is to explore the programmability aspects of RINA to implement innovative policies for congestion control, resource allocation, routing, security and network management.
G3+ IRINA – (2013-2015)
IRINA was funded by the GEANT3+ open call, and is a project with four partners: iMinds, WIT-TSSG, i2CAT and Nextworks. The main goal of IRINA is to study the use of the Recursive InterNetwork Architecture (RINA) as the foundation of the next generation NREN and GÉANT network architectures. IRINA builds on the open source RINA prototype developed by the FP7 IRATI project. IRINA will compare RINA against current networking state of the art and relevant clean-slate architecture under research; perform a use-case study of how RINA could be better used in the NREN scenarios; and showcase a laboratory trial of the study.
FP7 IRATI – (2013-2014)
IRATI is an FP7-funded project with 5 partners: i2CAT, Nextworks, iMinds, Interoute and Boston University, whose main goal is to produce an open source RINA implementation for the Linux OS on top of Ethernet. FP7 IRATI has already open-sourced the first release of the RINA implementation, called as the project “IRATI”. The implementation will be further enhanced by the PRISTINE and IRINA projects.