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数据中心网络负载均衡问题研究
引用本文:沈耿彪,李清,江勇,汪漪,徐明伟. 数据中心网络负载均衡问题研究[J]. 软件学报, 2020, 31(7): 2221-2244
作者姓名:沈耿彪  李清  江勇  汪漪  徐明伟
作者单位:清华大学深圳国际研究生院,广东深圳518055;南方科技大学未来网络研究院,广东深圳518055;鹏城实验室网络通信研究中心,广东深圳518055;清华大学深圳国际研究生院,广东深圳518055;鹏城实验室网络通信研究中心,广东深圳518055;清华大学计算机科学与技术系,北京 100084
基金项目:国家自然科学基金(61872420),广东省重点领域研发计划(2018B010113001),鹏城实验室大湾区未来网络试验与应用环境(LZC0019),深圳市软件定义网络重点实验室(ZDSYS20140509172959989)
摘    要:数据中心网络是现代网络和云计算的重要基础设施,实现数据中心网络负载均衡是保证网络吞吐并提高服务体验的关键环节.首先分析了数据中心网络与传统互联网之间的区别,总结其特点及特殊性在负载均衡方案设计方面的优势.然后从数据中心的复杂性和多样性角度分析其负载均衡方案设计所面临的挑战.将现有数据中心网络负载均衡方案根据不同的实现层次从网络层、传输层、应用层和综合方案4个角度进行分析,对比各个方案的优缺点,并从控制结构、负载均衡粒度、拥塞感知机制、负载均衡策略、可扩展性和部署难度几个方面进行综合评价.最后对现有数据中心网络负载均衡方案进行总结,并指出未来可能的研究方向.

关 键 词:数据中心网络  负载均衡  云计算  流量调度  传输管理
收稿时间:2018-09-28
修稿时间:2019-05-08

Research on Load Balancing in Data Center Networks
SHEN Geng-Biao,LI Qing,JIANG Yong,WANG Yi,XU Ming-Wei. Research on Load Balancing in Data Center Networks[J]. Journal of Software, 2020, 31(7): 2221-2244
Authors:SHEN Geng-Biao  LI Qing  JIANG Yong  WANG Yi  XU Ming-Wei
Affiliation:Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen Guangdong 518055, China;Insitute of Future Network, Southern University of Science and Technology, Shenzhen Guangdong 518055, China;PCL Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen Guangdong 518055, China;Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen Guangdong 518055, China;PCL Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen Guangdong 518055, China; Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
Abstract:Data center networks are the important infrastructure of the modern Internet and cloud computing. It is critical to achieve load balancing in data center networks for guaranteeing high throughput and improving service experience. We first analyze the difference between the data center network and traditional Internet and conclude the features of data center networks and the facilitation for designing load balancing schemes. Then we analyze the challenges of designing load balancing schemes in data center networks from the perspective of complexity and diversity. We classify existing load balancing schemes in data center networks into four types, i.e., the schemes based on the network layer, the transport layer, the application layer and the synthetic designs, according to different modification types. We detail advantages and disadvantages of these schemes and evaluate them from the point of the control structure, the granularity of load balancing, the congestion sensing mechanism, the strategy of load balancing, scalability and the difficulty of deployment. Finally, we summarize all load balancing schemes and present some future feasible directions.
Keywords:data center network  load balancing  cloud computing  flow scheduling  traffic management
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