Distributed power saving for large-scale software-defined data center networks
Energy efficiency in data center networks (DCNs) is critical to the operations of modern large-scale data centers. One effective way is to make the size of DCNs elastic along with flow demands by centralized routing and scheduling, i.e., turning off idle network components to reduce the power consum...
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sg-ntu-dr.10356-875782020-03-07T13:57:31Z Distributed power saving for large-scale software-defined data center networks Xie, Kun Huang, Xiaohong Hao, Shuai Ma, Maode School of Electrical and Electronic Engineering Distributed Inter-domain Routing Energy Efficiency Energy efficiency in data center networks (DCNs) is critical to the operations of modern large-scale data centers. One effective way is to make the size of DCNs elastic along with flow demands by centralized routing and scheduling, i.e., turning off idle network components to reduce the power consumption. As such, software-defined networking (SDN) is widely used for achieving such elasticity conveniently. Meanwhile, the scale and structure of modern DCNs get much larger and more complex. Central control and global computing become impractical due to the heavy time and space complexity. Therefore, distributed power control is necessary for large-scale SDN-DCNs, and yet there are few research achievements in this area. In this paper, we present an extensible energy-efficient mechanism, which: 1) leverages distributed flow routing for both intraand inter-domain elephant flows and 2) extendedly considers distributed energy efficiency for control plane. A local power-saving function is operated within each domain of control plane, and a distributed energy-efficient routing algorithm is computed to optimize the effectiveness for the inter-domain flows. The simulation results demonstrate that this distributed mechanism applies to large-scale DCNs and achieves an effective power saving. Published version 2018-08-06T04:27:29Z 2019-12-06T16:44:51Z 2018-08-06T04:27:29Z 2019-12-06T16:44:51Z 2018 Journal Article Xie, K., Huang, X., Hao, S., & Ma, M. (2018). Distributed power saving for large-scale software-defined data center networks. IEEE Access, 6, 5897-5909. https://hdl.handle.net/10356/87578 http://hdl.handle.net/10220/45463 10.1109/ACCESS.2018.2791630 en IEEE Access © 2018 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. 13 p. application/pdf |
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Distributed Inter-domain Routing Energy Efficiency Xie, Kun Huang, Xiaohong Hao, Shuai Ma, Maode Distributed power saving for large-scale software-defined data center networks |
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Energy efficiency in data center networks (DCNs) is critical to the operations of modern large-scale data centers. One effective way is to make the size of DCNs elastic along with flow demands by centralized routing and scheduling, i.e., turning off idle network components to reduce the power consumption. As such, software-defined networking (SDN) is widely used for achieving such elasticity conveniently. Meanwhile, the scale and structure of modern DCNs get much larger and more complex. Central control and global computing become impractical due to the heavy time and space complexity. Therefore, distributed power control is necessary for large-scale SDN-DCNs, and yet there are few research achievements in this area. In this paper, we present an extensible energy-efficient mechanism, which: 1) leverages distributed flow routing for both intraand inter-domain elephant flows and 2) extendedly considers distributed energy efficiency for control plane. A local power-saving function is operated within each domain of control plane, and a distributed energy-efficient routing algorithm is computed to optimize the effectiveness for the inter-domain flows. The simulation results demonstrate that this distributed mechanism applies to large-scale DCNs and achieves an effective power saving. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Xie, Kun Huang, Xiaohong Hao, Shuai Ma, Maode |
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Article |
author |
Xie, Kun Huang, Xiaohong Hao, Shuai Ma, Maode |
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Xie, Kun |
title |
Distributed power saving for large-scale software-defined data center networks |
title_short |
Distributed power saving for large-scale software-defined data center networks |
title_full |
Distributed power saving for large-scale software-defined data center networks |
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Distributed power saving for large-scale software-defined data center networks |
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Distributed power saving for large-scale software-defined data center networks |
title_sort |
distributed power saving for large-scale software-defined data center networks |
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2018 |
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https://hdl.handle.net/10356/87578 http://hdl.handle.net/10220/45463 |
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1681036831447056384 |