| YU Yang (于 洋)*,JING Zhengjun*,CHEN Qianmin** ***,WANG Xiumei*.[J].高技术通讯(英文),2025,31(4):338~346 |
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| A dynamic load-balanced scheme based on flow classification for software-defined data center |
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| DOI:10. 3772 / j. issn. 1006-6748. 2025. 04. 003 |
| 中文关键词: |
| 英文关键词: data center, software defined network, load balance, multi-index evaluation, Fat-Tree |
| 基金项目: |
| Author Name | Affiliation | | YU Yang (于 洋)* | (* School of Computer Engineering, Jiangsu University of Technology, Changzhou 213001, P. R. China)
(** School of Software, Quanzhou University of Information Engineering, Quanzhou 362000, P. R. China)
(*** International School of Finance, Fudan University, Shanghai 200433, P. R. China) | | JING Zhengjun* | | | CHEN Qianmin** *** | | | WANG Xiumei* | |
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| 中文摘要: |
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| 英文摘要: |
| Aiming at the problems such as low throughput and unbalanced load of data center network caused by traditional multipath routing strategy, a dynamic load balancing strategy for flow classification oriented to Fat-Tree topology based on the software defined network (SDN) architecture is proposed, named DLB-FC. Multi-index evaluation methods such as link state information and network traffic characteristics are considered. DLB-FC mechanism can dynamically adjust the flow classification threshold to differentiate between large and small flows. The scheme selects different forwarding paths to meet the transmission performance requirements of different flow characteristics. On this basis, an SDN simulation platform is built for performance testing. The simulation results show that DLB-FC algorithm can dynamically distinguish large flows from small flows and achieve load balancing effectively. Compared with equal-cost multi-path (ECMP), global first fit (GFF) and minmum total delay load routing ( MTDLR) algorithms, DLB-FC scheme improves the network throughput and link utilization of the data center network effectively. The transmission delay is also reduced with better load balance. |
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