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Energy Efficient Software Defined Networks

Daemi, Nafiseh | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48874 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Hemmatyar, Ali Mohammad Afshin
  7. Abstract:
  8. With a growing concern on the considerable energy consumed by data centers, research efforts are targeting toward green data centers with higher energy efficiency. Networks are essential to today’s highly instrumented and connected society. Currently responsible for a fraction of the energy the IT sector consumes, networks rely on equipments that often use a constant amount of power regardless of their utilization; a worsening scenario as traffic is expected to increase by a factor of three in the next few years. Datacenter networks, for instance, employ devices that consume several kilowatts of power even when idle. This work aims to improve the energy efficiency of datacenter networks by dynamically adjusting the number of active links and switches according to network load. We propose a software defined network approach to select and turn off a subset of switches. The algorithms implemented and evaluated using the Mininet simulator. The proposed method is compared to the always-on network. The evaluation parameters of the thesis are energy consumption, flow completion time of the network.The results show about 20% improvement in energy consumption with no significant changes in flow completion time of the network
  9. Keywords:
  10. Energy Efficiency ; Data Center ; Software Defined Networks (SDN) ; Energy Consumption Reduction ; Energy Efficient Routing

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