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Open AccessArticle

Energy Optimization for Software-Defined Data Center Networks Based on Flow Allocation Strategies

1
School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China
2
Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan 411105, China
3
College of Software and Communication Engineering, Xiangnan University, Chenzhou 423043, China
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(9), 1014; https://doi.org/10.3390/electronics8091014
Received: 20 July 2019 / Revised: 30 August 2019 / Accepted: 7 September 2019 / Published: 11 September 2019
(This article belongs to the Section Computer Science & Engineering)
Nowadays, energy consumption has become an important issue in data center networks. The most promising energy-saving schemes are those that shut down unnecessary network devices and links while meeting the demand of traffic loads. Existing research mainly focuses on the strategies of energy savings in software-defined data center networks (SD-DCN). Few studies have considered both energy savings and the quality of service (QoS) of the traffic load. In this paper, we investigate the energy savings guaranteed by traffic load satisfaction ratio. To ensure the minimum-power consumption in data centers, we formulate the SD-DCN energy consumption optimization problem as an Integer Linear Programming model. To achieve a high success rate for traffic transmission, we propose three flow scheduling strategies. On this foundation, we propose a strategy-based Minimum Energy Consumption (MEC) heuristic algorithm to ensure the QoS satisfaction ratio in the process of energy optimization. The results show that our algorithm can save energy efficiently under the conditions of low traffic load and medium traffic load. Under high traffic load, our algorithm can achieve better network performance than existing solutions in terms of quality of service satisfaction ratio of flow allocation. View Full-Text
Keywords: energy efficiency; software-defined data center networks; QoS; flow allocation energy efficiency; software-defined data center networks; QoS; flow allocation
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Lu, Z.; Lei, J.; He, Y.; Li, Z.; Deng, S.; Gao, X. Energy Optimization for Software-Defined Data Center Networks Based on Flow Allocation Strategies. Electronics 2019, 8, 1014.

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