Alessandro Carrega, Suresh Singh, Roberto Bruschi, Raffaele Bolla
IEEE International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)
Publication year: 2012

Keywords

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Abstract

Numerous studies have shown that data center networks typically see loads of between 5% – 25% but the energy draw of these networks is equal to operating them at maximum load. In this paper, we propose a novel way to make these networks more energy proportional – that is, the energy draw scales with the network load. We propose the idea of traffic aggregation, in which low traffic from N links is combined to create H < N streams of high traffic. These streams are fed to H switch interfaces which run at maximum rate while the remaining interfaces are switched to the lowest possible one. We show that this merging can be accomplished with minimal latency and energy costs (less than 0.1 W) while simultaneously allowing us a deterministic way of switching link rates between maximum and minimum. Using simulations based on previously developed traffic models, we show that 49% energy savings are obtained for 5% of the load while we get an energy savings of 22% for a 50% load. Hence, forasmuch as the packet losses are statistically insignificant, the results show that energy-proportional data center networks are indeed possible.

Co-Authors

Suresh Singh

Suresh Singh

Professor

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Roberto Bruschi

Roberto Bruschi

CNIT Researcher

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Raffaele Bolla

Raffaele Bolla

Professor

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Applying traffic merging to datacenter networks

Conference
Alessandro Carrega, Suresh Singh, Raffaele Bolla, Roberti Bruschi
IEEE Third International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet (e-Energy)
Publication year: 2012