Energy-efficient algorithms for next generation open

Source de subvention

Professeur(e)s impliqués

• Halima Elbiaze (UQAM)

Résumé

The remarkable growth in Internet traffic is expected to generate many new research challenges to address the new requirements in terms of volume and speed of exchanged data information. Indeed, telecommunication networks and the Internet are being re-designed to be energy efficient and enable smarter and sustainable growth. Contrary to existing solutions, an original advanced holistic approach for energy aware networks is proposed involving both data and control plane. The innovative goals of our solution consist of: (i) investigating local and distributed algorithms and techniques for energy efficient network operations, (ii) studying dynamic, scalable, ad-hoc and optimized resource allocation that balances the trade-offs between energy consumption and network performance, as well as differentiated quality of service (QoS) requirements and (iii) exploring smart standby dynamic power saving strategies to be implemented in both data plane and control plane. Besides, information and communication technologies (ICT) industry faces a fundamental paradigm shift led by the increasing adoption of software-defined networks (SDN) and network functions virtualization (NFV). Hence, one important issue that will be addressed in my research program is exploiting the potential energy efficiency improvements provided by SDN and NFV in future networks. On the other hand, optical networks are widely recognized as a future proof and cost-effective transport technology for supporting the growing traffic volume and services variety at very low energy footprint . However, elastic optical networks (EONs), that may meet the future bandwidth requirements, increases considerably the energy consumption. Furthermore, new generations of data center networks have to provide higher bandwidth efficiency, lower latency, increased flexibility and lower cost. Optical networks interconnection solution is recognized as the best candidate to satisfy these needs. Thus, this proposal brings a special emphasis on the energy-efficient design of EONs taking into account (i) physical layer impairments, (ii) routing, spectrum allocation, and modulation format and (iii) dynamic network operation. The proposal will provide fundamental knowledge advancement and practical contributions to the area of energy efficient strategies for the next generation of high speed data networks and will provide excellent training opportunities for eight graduate and four.