Stability issues in OSPF routing
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Energy-aware traffic engineering
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Reducing power consumption in backbone networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Greening backbone networks: reducing energy consumption by shutting off cables in bundled links
Proceedings of the first ACM SIGCOMM workshop on Green networking
GreenTE: Power-aware traffic engineering
ICNP '10 Proceedings of the The 18th IEEE International Conference on Network Protocols
Energy management in IP traffic engineering with Shortest Path routing
WOWMOM '11 Proceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
Optimal design of green multi-layer core networks
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Energy Efficiency in Telecom Optical Networks
IEEE Communications Surveys & Tutorials
Network topologies: inference, modeling, and generation
IEEE Communications Surveys & Tutorials
Energy efficient online routing of flows with additive constraints
Computer Networks: The International Journal of Computer and Telecommunications Networking
Network pruning for energy saving in the Internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
Dynamic routing at different layers in IP-over-WDM networks - Maximizing energy savings
Optical Switching and Networking
Minimizing ISP network energy cost: formulation and solutions
IEEE/ACM Transactions on Networking (TON)
Enabling backbone networks to sleep
IEEE Network: The Magazine of Global Internetworking
GRiDA: GReen Distributed Algorithm for energy-efficient IP backbone networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In this work we propose a strategy to minimize the impact of energy saving techniques on the performance of an Internet Service Provider network. We study the problem of putting in sleep mode links of a backbone network, while limiting the number of times each device changes its power state (full power mode or sleep mode). Our aim is to limit the number of network configurations, i.e., the change of the current set of network links at full power. We tackle the problem both analytically and by simulations. We first present a model, based on random graph theory, to compute the links energy saving given a traffic variation, QoS requirements, and the number of allowed network configurations. The same analysis is then repeated over two realistic case studies, and with realistic algorithms to choose the set of links in sleep mode. Results show (both analytically and by simulation) that the energy savings with few configurations (two or three per day) are close to the maximum one, in which a new configuration is applied for each traffic matrix. Moreover, we show that few configurations per day limit the number of overhead messages required for exchanging information about the device state. Thus, we can conclude that a practical implementation of sleep mode strategies for network operators is to define, on the basis of typical traffic trend, few configurations to be activated in specific time instants.