| 基于OpenStack的Swift负载均衡算法 |
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| 引用本文： | 徐敏,李明,郑建忠,孙强,管建超,罗华永,张辉.基于OpenStack的Swift负载均衡算法[J].计算机系统应用,2018,27(1):127-131. |
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| 作者姓名： | 徐敏 李明 郑建忠 孙强 管建超 罗华永 张辉 |
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| 作者单位： | 国网安徽省电力公司信息通信分公司, 合肥 230061,国网安徽省电力公司信息通信分公司, 合肥 230061,北京中电普华信息技术有限公司, 北京 100192,国网安徽省电力公司信息通信分公司, 合肥 230061,国网安徽省电力公司信息通信分公司, 合肥 230061,北京中电普华信息技术有限公司, 北京 100192,北京中电普华信息技术有限公司, 北京 100192 |
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| 摘 要： | 为了解决由于OpenStack的负载分发不均衡而引发的存储性能下降、资源利用率降低、I/O响应时长增加等问题，提出对加权最小连接调度算法进行改进. 通过对对象存储的负载均衡调度算法研究，利用存储节点的CPU、内存、硬盘、I/O资源利用率信息，并结合节点任务请求连接数，计算存储节点负载能力、性能和权值. 负载均衡器根据每个存储节点的权值大小判断任务分发方向. 经实验证明改进的负载均衡调度算法能够解决存储读写性能下降的问题，提升数据吞吐率、存储读写性能和系统稳定性.
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| 关 键 词： | OpenStack 云存储 swift 负载均衡 加权最小连接调度算法 |
| 收稿时间： | 2017/4/4 0:00:00 |
| 修稿时间： | 2017/4/20 0:00:00 |
Swift Load Balancing Algorithm Based on OpenStack |
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| XU Min,LI Ming,ZHENG Jian-Zhong,SUN Qiang,GUAN Jian-Chao,LUO Hua-Yong and ZHANG Hui.Swift Load Balancing Algorithm Based on OpenStack[J].Computer Systems& Applications,2018,27(1):127-131. |
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| Authors: | XU Min LI Ming ZHENG Jian-Zhong SUN Qiang GUAN Jian-Chao LUO Hua-Yong and ZHANG Hui |
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| Affiliation: | Information and Communication Branch, State Grid Jiangsu Electric Power Company, Hefei 230061, China,Information and Communication Branch, State Grid Jiangsu Electric Power Company, Hefei 230061, China,Beijing China Power Information Technology Co. Ltd., Beijing 100192, China,Information and Communication Branch, State Grid Jiangsu Electric Power Company, Hefei 230061, China,Information and Communication Branch, State Grid Jiangsu Electric Power Company, Hefei 230061, China,Beijing China Power Information Technology Co. Ltd., Beijing 100192, China and Beijing China Power Information Technology Co. Ltd., Beijing 100192, China |
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| Abstract: | In order to solve the problems of reduced storage performance, reduced resource utilization, increased I/O response, which are caused by unbalanced load distribution of OpenStack, the weighted least-connection scheduling algorithm is improved. Researching load balancing scheduling algorithm for object storage, using CPU memory disk and I/O of the storage nodes information of resource utilization, considering the number of request connections, we calculate the storage node load capacity performance and weight. Load balancing determines task distribution direction according to the size of every weight. Experiments show that the improved load balancing scheduling algorithm can optimize the performance of storage, improve the data throughput storage performance and system stability. |
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| Keywords: | OpenStack cloud storage swift load balancing weighted least-connection scheduling |
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