Research on Load Balancing in Data Center Networks
Author:
Affiliation:

Clc Number:

Fund Project:

National Natural Science Foundation of China (61872420); Guangdong Province Key Area R&D Program (2018B010113001); PCL Future Greater-bay Area Network Facilities for Large-scale Experiments and Applications (LZC0019); Shenzhen Key Laboratory of Software Defined Networking (ZDSYS20140509172959989)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    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. The difference between the data center network and traditional Internet is firstly analyzedand the features of data center networks and the facilitation for designing load balancing schemesare concluded. Then, the challenges of designing load balancing schemes are analyzedin data center networks from the perspective of complexity and diversity. Existing load balancing schemes in data center networksare classified 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. The advantages and disadvantages of these schemes are detailedand they are evaluatedfrom 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, all load balancing schemes are summarizedand some future feasible directionsare presented.

    Reference
    Related
    Cited by
Get Citation

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.软件学报,2020,31(7):2221-2244

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 28,2018
  • Revised:May 08,2019
  • Adopted:
  • Online: April 21,2020
  • Published: July 06,2020
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063