Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
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
How can architecture help to reduce energy consumption in data center networking?
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Improving the scalability of data center networks with traffic-aware virtual machine placement
INFOCOM'10 Proceedings of the 29th conference on Information communications
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
ElasticTree: saving energy in data center networks
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Applying traffic merging to datacenter networks
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
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In typical enterprise networks, a large fraction of ports see utilization of less than 5% at peak times and close to zero utilization otherwise. Therefore, the normal architecture of one switch port per end-host is very wasteful because of the need for high port density switches to support numerous end users. In this paper we propose merging traffic from multiple end-hosts and feeding that to small port density switches that can replace the high port density switches. The energy savings from such a redesign are significant. The innovative part of this paper is the design of a low-power Merge network that is used to merge traffic from N incoming links to be fed to K switch ports and for sending traffic from the K-port switch to N links. Further, we present algorithms to enable network designers to re-architect their networks using the merge network, and a feasibility study using our College of Engineering network as a working example to illustrate how this approach would work and the resultant energy savings of almost 47%.