Energy proportional datacenter networks

By D. Abts, Michael R. Marty, Philip M. Wells, Peter Klausler, Hong Liu. International Symposium on Computer Architecture, 2010

499 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/6069f23cf3e413a6ce60bec60acb60952d88cc95

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Yonggang Wen
2. Torsten Hoefler
3. Praveen Yalagandula
4. Miyuru Dayarathna
5. Maciej Besta
6. Fons Wijnhoven
7. Martijn Koot

In Hardware and Architecture

1. Yonggang Wen
2. Torsten Hoefler
3. Miyuru Dayarathna
4. Maciej Besta
5. Fons Wijnhoven
6. Martijn Koot

In Information Systems

1. Yonggang Wen
2. Torsten Hoefler
3. Praveen Yalagandula
4. Miyuru Dayarathna
5. Fons Wijnhoven
6. Martijn Koot

Citations in the corpus

• DevoFlow: scaling flow management for high-performance networks (2011, background): “Proposed approaches including shutting off switch and router components when they are idle, or adapting link rates to be as minimal as possible [3,7,27,28,40].”
• Data Center Energy Consumption Modeling: A Survey (2016, background): “Most of the existing data center networks exhibit very small dynamic range because the idle power consumption is relatively significant compared to the power consumption when the network is fully utilized [229].”
• Slim Fly: A Cost Effective Low-Diameter Network Topology (2014, background): “Following [2] we assume that each router port has 4 lanes and there is one SerDes per lane consuming ≈ 0.”