International Journal of Network Management
Micro power management of active 802.11 interfaces
Proceedings of the 6th international conference on Mobile systems, applications, and services
Reducing network energy consumption via sleeping and rate-adaptation
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
A Power Benchmarking Framework for Network Devices
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
Energy aware network operations
INFOCOM'09 Proceedings of the 28th IEEE international conference on Computer Communications Workshops
Power control of high speed network interconnects in data centers
INFOCOM'09 Proceedings of the 28th IEEE international conference on Computer Communications Workshops
Designing and evaluating an energy efficient Cloud
The Journal of Supercomputing
A BitTorrent proxy for Green Internet file sharing: Design and experimental evaluation
Computer Communications
Energy-aware traffic engineering
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Improved opportunistic sleeping algorithms for LAN switches
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Sleep and adaptive link rate control for power saving in 10G-EPON systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Energy proportionality of an enterprise network
Proceedings of the first ACM SIGCOMM workshop on Green networking
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Dynamic topologies for sustainable and energy efficient traffic routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Opportunistic power saving algorithms for Ethernet devices
Computer Networks: The International Journal of Computer and Telecommunications Networking
DevoFlow: scaling flow management for high-performance networks
Proceedings of the ACM SIGCOMM 2011 conference
Parasite: A System for Energy Saving with Performance Improvement in Networked Desktops
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
Improving performance and energy savings through alternative forwarding
ACM SIGMETRICS Performance Evaluation Review
Modeling and analyzing power management policies in server farms using stochastic Petri nets
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Computer Networks: The International Journal of Computer and Telecommunications Networking
Optimal configuration of Energy-Efficient Ethernet
Computer Networks: The International Journal of Computer and Telecommunications Networking
eBond: energy saving in heterogeneous R.A.I.N
Proceedings of the fourth international conference on Future energy systems
A survey on techniques for improving the energy efficiency of large-scale distributed systems
ACM Computing Surveys (CSUR)
A survey on Green communications using Adaptive Link Rate
Cluster Computing
Journal of Network and Computer Applications
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We examine the feasibility of introducing power management schemes in network devices in the LAN. Specifically, we investigate the possibility of putting various components on LAN switches to sleep during periods of low traffic activity. Traffic collected in our LAN indicates that there are significant periods of inactivity on specific switch interfaces. Using an abstract sleep model devised for LAN switches, we examine the potential energy savings possible for different times of day and different interfaces (e.g., interfaces connecting to hosts to switches, or interfaces connecting switches, or interfaces connecting switches and routers). Algorithms developed for sleeping, based on periodic protocol behavior as well as traffic estimation are shown to be capable of conserving significant amounts of energy. Our results show that sleeping is indeed feasible in the LAN and in some cases, with very little impact on other protocols. However, we note that in order to maximize energy savings while minimizing sleep-related losses, we need hardware that supports sleeping.