José Juan Pedreño Manresa - Projects

Ongoing projects

Metro-Haul - METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency (H2020)

The overall Metro-Haul objective is to architect and design cost-effective, energy-efficient, agile and programmable metro networks that are scalable for 5G access and future requirements, encompassing the design of all-optical metro nodes (including full compute and storage capabilities), which interface effectively with both 5G access and multi-Tbit/s elastic core networks. Metro-Haul has taken the 5G KPIs and already determined their implication for the optical network with these 5 targets: (i) 100 x more 5G capacity supported over the same optical fibre infrastructure, (ii) 10 times less energy consumption, (iii) Latency-aware metro network in which latency-sensitive slices are handled at the metro edge ensuring the metro network adds no additional latency, (iv) End to end SDN-based management framework enabling fast configuration time to set up or reconfigure services handling 5G applications, specifically 1 minute for simple network path set-up and 10 minutes for full installation of a new VNF and 1 hour for setting up a new virtual network slice and (v) reduction in CAPEX of a factor of 10, plus a reduction in OPEX of at least 20%.


ONOFRE - Optical Networks cOnvergence in the FutuRE Internet (TEC2014-53071-C3-1-P)

ONOFRE project is focused on an access/metro network convergent design, investigating the effects of NGPON2 and NGPON3 evolutions. Dynamic Bandwidth Allocation (DBA) mechanisms are studied in depth, analyzing how QoS and clock synchronization requirements constraint the network design. Another goal is to investigate on-demand resource allocation schemes that behave efficiently under high traffic variability scenarios in the ROADM-based multilayer optical metro. Moreover in ONOFRE project we seek on implementing an OpenFlow (SDN) framework for a converged access/metro control plane suitable for this scenario.


ELASTIC - Elastic Networks (TEC2015-71932-REDT)

A number of studies have pointed out on the dramatic increase of Internet traffic exchanged worldwide, around 23% accumulated per year anual, estimated to reach 168 Exabytes exchanged per month by 2019, approximately 22 GB per person. Such an increase is based on several reasons: on one hand the explosive growth of mobile devices along with their popularity and low-cost (estimated 20 billion by 2020); on the other hand the rise and popularity of new interactive services with strict high-bandwidth low-delay requirements, namely video on-demand, online gaming, P2P file sharing, etc. On top of these, the rise of Smart Cities, Internet of Things, Cloud Computing and Big Data suggest that such a percentage of traffic increase may have been underestimated. ElasticNetworks will address the above challenges and will focus on a number of novel approaches for the design of the Future Internet. In particular, ElasticNetworks will contribute to a holistic redesign of the transport network towards a more agile, flexible, programmable Elastic Network, yet with low operation, deployment and maintenance cost, and energy efficient. This will be a superior network with respect to today's in terms of performance, capable of provisioning network capacity where needed, with a dynamic and mobile network with high bandwidth granularity, capable of dealing with the advent of the all-connected smart world. ElasticNetworks will contribute to such a technological revolution in which the network becomes a single programmable entity, starting from the Data Center supporting the Cloud and ending in the very last user's or thing's device.


Past projects

PERSEO - Platform Engine Resilent Streaming/Solution Extreme Oriented

PERSEO is an experimental development to achieve an innovative service platform highly scalable Interactive Content, in real-time and in Cloud, social recommendation based on predictive analysis of Big Data and QoE. It delivers a new architecture and formalized integrated network models services that support contents with high satisfaction user experience (QoS). Based on a scalable cloud platform, PERSEO will enable experimental proposal solutions. PERSEO IP Multimedia Systems (IMS) supports multimedia Content Management System (MCMS) for a dynamic adaptation between layers to optimize the user experience in terms of perceived quality (QoS) of multimedia services (such as VoIP or IPTV).


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