Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
A Feasibility Study for Power Management in LAN Switches
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
International Journal of Network Management
Towards an Energy-Star WLAN Infrastructure
HOTMOBILE '07 Proceedings of the Eighth IEEE Workshop on Mobile Computing Systems and Applications
Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR)
IEEE Transactions on Computers
Reducing network energy consumption via sleeping and rate-adaptation
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Performance evaluation of energy efficient ethernet
IEEE Communications Letters
Improved opportunistic sleeping algorithms for LAN switches
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Burst Transmission for Energy-Efficient Ethernet
IEEE Internet Computing
IEEE 802.3az: the road to energy efficient ethernet
IEEE Communications Magazine
Update: Energy-Efficient Ethernet
IEEE Spectrum
Optimal configuration of Energy-Efficient Ethernet
Computer Networks: The International Journal of Computer and Telecommunications Networking
Modeling sleep mode gains in energy-aware networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A survey on Green communications using Adaptive Link Rate
Cluster Computing
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Network interfaces in most wired or wireless computing devices are greatly under-utilized, squandering energy while waiting for new packets to arrive. In this paper, we propose simple opportunistic algorithms to determine when to power down idle network interfaces in order to save much of that wasted energy. We also develop an analytic model to predict the amount of energy saved and the packet delay. The algorithms are compared to the best known opportunistic method, and it is shown that they provide significantly greater power savings without inflicting noticeable delays to Internet traffic.