E3 MC : improving energy efficiency via elastic multi-controller SDN in data center networks
Energy consumed by network constitutes a significant portion of the total power budget in modern data centers. Thus, it is critical to understand the energy consumption and improve the power efficiency of data center networks (DCNs). In doing so, one straightforward and effective way is to make the...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2018
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| Online Access: | https://hdl.handle.net/10356/89392 http://hdl.handle.net/10220/47045 |
| _version_ | 1826110378950524928 |
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| author | Xie, Kun Huang, Xiaohong Hao, Shuai Ma, Maode Zhang, Pei Hu, Dingyuan |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Xie, Kun Huang, Xiaohong Hao, Shuai Ma, Maode Zhang, Pei Hu, Dingyuan |
| author_sort | Xie, Kun |
| collection | NTU |
| description | Energy consumed by network constitutes a significant portion of the total power budget in modern data centers. Thus, it is critical to understand the energy consumption and improve the power efficiency of data center networks (DCNs). In doing so, one straightforward and effective way is to make the size of DCNs elastic along with traffic demands, i.e., turning off unnecessary network components to reduce the energy consumption. Today, software defined networking (SDN), as one of the most promising solutions for data center management, provides a paradigm to elastically control the resources of DCNs. However, to the best of our knowledge, the features of SDN have not been fully leveraged to improve the power saving, especially for large-scale multi-controller DCNs. To address this problem, we propose E 3 MC, a mechanism to improve DCN's energy efficiency via the elastic multi-controller SDN. In E 3 MC, the energy optimizations for both forwarding and control plane are considered by utilizing SDN's fine-grained routing and dynamic control mapping. In particular, the flow network theory and the bin-packing heuristic are used to deal with the forwarding plane and control plane, respectively. Our simulation results show that E 3 MC can achieve more efficient power management, especially in highly structured topologies such as Fat-Tree and BCube, by saving up to 50% of network energy, at an acceptable level of computation cost. |
| first_indexed | 2024-10-01T02:33:26Z |
| format | Journal Article |
| id | ntu-10356/89392 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:33:26Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/893922020-03-07T14:02:38Z E3 MC : improving energy efficiency via elastic multi-controller SDN in data center networks Xie, Kun Huang, Xiaohong Hao, Shuai Ma, Maode Zhang, Pei Hu, Dingyuan School of Electrical and Electronic Engineering Data Center Network DRNTU::Engineering::Electrical and electronic engineering Energy Management Energy consumed by network constitutes a significant portion of the total power budget in modern data centers. Thus, it is critical to understand the energy consumption and improve the power efficiency of data center networks (DCNs). In doing so, one straightforward and effective way is to make the size of DCNs elastic along with traffic demands, i.e., turning off unnecessary network components to reduce the energy consumption. Today, software defined networking (SDN), as one of the most promising solutions for data center management, provides a paradigm to elastically control the resources of DCNs. However, to the best of our knowledge, the features of SDN have not been fully leveraged to improve the power saving, especially for large-scale multi-controller DCNs. To address this problem, we propose E 3 MC, a mechanism to improve DCN's energy efficiency via the elastic multi-controller SDN. In E 3 MC, the energy optimizations for both forwarding and control plane are considered by utilizing SDN's fine-grained routing and dynamic control mapping. In particular, the flow network theory and the bin-packing heuristic are used to deal with the forwarding plane and control plane, respectively. Our simulation results show that E 3 MC can achieve more efficient power management, especially in highly structured topologies such as Fat-Tree and BCube, by saving up to 50% of network energy, at an acceptable level of computation cost. Published version 2018-12-18T04:29:26Z 2019-12-06T17:24:29Z 2018-12-18T04:29:26Z 2019-12-06T17:24:29Z 2016 Journal Article Xie, K., Huang, X., Hao, S., Ma, M., Zhang, P., & Hu, D. (2016). E3 MC : improving energy efficiency via elastic multi-controller SDN in data center networks. IEEE Access, 4, 6780-6791. doi:10.1109/ACCESS.2016.2617871 https://hdl.handle.net/10356/89392 http://hdl.handle.net/10220/47045 10.1109/ACCESS.2016.2617871 en IEEE Access © 2016 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 12 p. application/pdf |
| spellingShingle | Data Center Network DRNTU::Engineering::Electrical and electronic engineering Energy Management Xie, Kun Huang, Xiaohong Hao, Shuai Ma, Maode Zhang, Pei Hu, Dingyuan E3 MC : improving energy efficiency via elastic multi-controller SDN in data center networks |
| title | E3 MC : improving energy efficiency via elastic multi-controller SDN in data center networks |
| title_full | E3 MC : improving energy efficiency via elastic multi-controller SDN in data center networks |
| title_fullStr | E3 MC : improving energy efficiency via elastic multi-controller SDN in data center networks |
| title_full_unstemmed | E3 MC : improving energy efficiency via elastic multi-controller SDN in data center networks |
| title_short | E3 MC : improving energy efficiency via elastic multi-controller SDN in data center networks |
| title_sort | e3 mc improving energy efficiency via elastic multi controller sdn in data center networks |
| topic | Data Center Network DRNTU::Engineering::Electrical and electronic engineering Energy Management |
| url | https://hdl.handle.net/10356/89392 http://hdl.handle.net/10220/47045 |
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