xG Programmable network testbed
GINYS-CTTC-001
Josep Mangues Bafalluy
Cap de la unitat de recerca Services as networkS (SaS)
ADRENALINE testbed ®
Experimental research testbed on high-performance and large-scale intelligent optical transport networks
The ADRENALINE testbed® is an SDN/NFV packet/optical transport network and edge/core cloud platform for end-to-end 5G and IoT services.
It allows researchers, system vendors and operators to evaluate, experimentally in conditions close to production systems, all aspects related to cloud computing in distributed environments with multiple geographically split data centers, while jointly managing storage, computing and networking resources, integrating all aspects involved in the processes of service and resource orchestration
EXTREME testbed ®
System level testbed featuring IP mobility
EXTREME ® (Experimental Testbed for Research Enabling Mobility Enhancements) is a multi-purpose fully reconfigurable networking testbed that serves to validate proposals on close-to-real scenarios.
EXTREME ® combines the ease of management of multi-user experimental facilities with the flexibility of proof-of-concept testbeds. It supports both cellular and mesh/ad-hoc network topologies by means of technologies such as 802.11 Wireless LANs or UMTS.
Services
ADRENALINE testbed ®
The main drivers behind the deployment and subsequent evolution of the ADRENALINE testbed can be summarized in:
- New IoT and 5G services require the orchestration of heterogeneous resources in constrained-placement environments;
- Network operators will deploy variable sized data-centers in different locations interconnected by transport networks and,
- A common operational methodology regardless of data center size must be adopted in order to reduce OPEX, while allowing an automation in the provisioning of services and operation of the infrastructure, in line with and benefiting from the main softwarization trend.
EXTREME testbed ®
Topics under study include: Next-generation network design, mobility in heterogeneous environments (e.g. vertical and horitzontal handovers), self-organized networks (e.g. mesh and ad hoc networks), wireless measurements and VoIP.
Staff
