Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Increasing Internet Capacity Using Local Search
Computational Optimization and Applications
International Journal of Network Management
ICNICONSMCL '06 Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies
Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR)
IEEE Transactions on Computers
Performance evaluation of energy efficient ethernet
IEEE Communications Letters
The road to carrier-grade Ethernet
IEEE Communications Magazine
Traffic engineering of multiple spanning tree routing networks: the load balancing case
NGI'09 Proceedings of the 5th Euro-NGI conference on Next Generation Internet networks
Best Multiple Spanning Tree in Metro Ethernet Networks
ICCEE '09 Proceedings of the 2009 Second International Conference on Computer and Electrical Engineering - Volume 02
IEEE/ACM Transactions on Networking (TON)
Minimizing the energy consumption of Carrier Grade Ethernet with Multiple Spanning Trees
WOWMOM '11 Proceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
The next frontier for communications networks: power management
Computer Communications
100 gigabit Ethernet and beyond [Commentary]
IEEE Communications Magazine
Packet-level traffic measurements from the Sprint IP backbone
IEEE Network: The Magazine of Global Internetworking
Energy-aware IP traffic engineering with shortest path routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy Management Through Optimized Routing and Device Powering for Greener Communication Networks
IEEE/ACM Transactions on Networking (TON)
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We propose an energy management framework to optimize the energy consumption of networks using the Multiple Spanning Tree Protocol such as Carrier Grade Ethernet networks. The objective is to minimize the energy consumption of nodes and links while considering QoS constraints. The energy management is done through the Multiple Spanning Tree Protocol (MSTP) by choosing from a given set the most appropriate Spanning Trees and the most appropriate edges to operate while respecting the traffic demands. A trade-off framework between energy consumption and network performance is proposed. Results show that it is possible to achieve a good traffic engineering while operating the network closer to the minimum energy value.