A geographical information service load balancing algorithm

被引:0
|
作者
Li H. [1 ,3 ]
An X. [2 ,3 ]
Chen G. [1 ,3 ]
Jin C. [2 ,3 ]
机构
[1] Institute of Geospatial, Information Engineering University, Zhengzhou
[2] Xi'an Research Institute of Surveying and Mapping, Xi'an
[3] State Key Laboratory of Geo-Information Engineering, Xi'an
基金
中国国家自然科学基金;
关键词
Concurrent access; Geographical information service; Intelligent scheduling; Load balancing;
D O I
10.13203/j.whugis20140633
中图分类号
学科分类号
摘要
Intelligent scheduling of geographical information resources based on load balancing for improved concurrent access to a service system is a focal point of current study. This paper presents a method for dynamic load balancing; different types of geographical information service are matched with the corresponding server group, and then the RED algorithm is combined with the double threshold method to effectively judge the load state of server nodes. The service is scheduled based on weighted probabilities for a given period. Finally, a experiment system was built based on a server cluster. This experiment illustrates the effectiveness of the method presented in this paper. © 2016, Research and Development Office of Wuhan University. All right reserved.
引用
收藏
页码:1524 / 1529
页数:5
相关论文
共 9 条
  • [1] National Administration of Surveying, Mapping and Geoinformation of China, National Geographic Information Public Service Platform Technical Design Guide, (2009)
  • [2] Chen J., Jiang J., Zhou X., Et al., Study on the Overall Technical Design of Geographic Information Public Service Platform, Geographic Information World, 3, pp. 7-11, (2009)
  • [3] Chen J., Xiang L., Gong J., The Network Geographic Information Integration and Sharing Service Based on Virtual Earth, Chinese Science: Earth Sciences, 43, pp. 1770-1780, (2013)
  • [4] Wang H., Yu Z., Li R., Et al., Cost Based Load Balancing for Network Geographic Information Service, Acta Geodaetica et Cartographica Sinica, 38, 3, pp. 242-249, (2009)
  • [5] Zhu L., Shen W., Li R., Et al., Genetic Algorithm-based Dynamic Load Balancing for Server Cluster in Network GIS, Geomatics and Information Science of Wuhan University, 36, 6, pp. 721-725, (2011)
  • [6] Zomaya A.Y., Yee H.T., Observations on Using Genetic Algorithms for Dynamic Load-Balancing, Parallel and Distributed Systems, 12, 9, pp. 899-911, (2001)
  • [7] Li Z., Yu Z., Zhu L., A Spatial-data-Content-based Dynamic Load Balancing Method, Geomatics and Information Science of Wuhan University, 34, 5, pp. 622-625, (2009)
  • [8] Deng Z., Tang X., Huang W., Et al., A Load Balancing Scheduling Algorithm for Webserver Cluster, Computer Applications and Software, 30, 10, pp. 53-56, (2013)
  • [9] Muley R., Chatte I.M., High Performance Load Balancing Schemes for Cluster Based Secure Web Server, International Conference and Workshop on Emerging Trends in Technology, ICWET2010, (2010)