郭明强, 吴亮, 黄颖, 谢忠, 赵林. WebGIS集群环境下Client主动式负载均衡策略[J]. 武汉大学学报 ( 信息科学版), 2015, 40(12): 1639-1645. DOI: 10.13203/j.whugis20140069
引用本文: 郭明强, 吴亮, 黄颖, 谢忠, 赵林. WebGIS集群环境下Client主动式负载均衡策略[J]. 武汉大学学报 ( 信息科学版), 2015, 40(12): 1639-1645. DOI: 10.13203/j.whugis20140069
GUO Mingqiang, WU Liang, HUANG Ying, XIE Zhong, ZHAO Lin. Client Active Load Balancing Strategy Under WebGIS Cluster Environment[J]. Geomatics and Information Science of Wuhan University, 2015, 40(12): 1639-1645. DOI: 10.13203/j.whugis20140069
Citation: GUO Mingqiang, WU Liang, HUANG Ying, XIE Zhong, ZHAO Lin. Client Active Load Balancing Strategy Under WebGIS Cluster Environment[J]. Geomatics and Information Science of Wuhan University, 2015, 40(12): 1639-1645. DOI: 10.13203/j.whugis20140069

WebGIS集群环境下Client主动式负载均衡策略

Client Active Load Balancing Strategy Under WebGIS Cluster Environment

  • 摘要: 针对现有WebGIS集群环境下负载均衡调度策略的特点和弊端进行分析,提出了WebGIS集群环境下Client主动式负载均衡策略,重点研究了无中心(负载均衡调度中心)的WebGIS集群体系结构和Client主动式任务均衡分解方法,最终实现WebGIS集群环境下各服务节点间的负载均衡,解决了传统WebGIS模型中存在的负载均衡调度中心节点请求转发性能瓶颈问题和请求响应延迟问题。最后,使用不同规模大小的并发访问用户进行实验,结果证明,与传统的WebGIS集群环境下负载均衡策略相比, Client主动式负载均衡策略能更有效地缩短服务的平均响应时间,提高WebGIS集群的并发处理能力,且并发访问用户量越大,效果越明显。

     

    Abstract: Direct at the characteristics and drawbacks of existing load balancing scheduling strategy under WebGIS cluster environment, we propose client active load balancing strategy under the WebGIS cluster environment, the research is mainly focused on the architecture of WebGIS cluster without central dispatching center (load balancer) and the active task decomposition method on client-side, finally realizes the load balancing between each service node under WebGIS cluster environment, solves the performance bottleneck problem for transmitting requests in traditional WebGIS model which has a load balancing scheduling center node and the problem of response delay. Finally, we use different number of concurrent users to do simulation experiment, the results show that, compared with the traditional load balancing strategies under WebGIS cluster environment, the client active load balancing strategy designed in this paper can effectively shorten the average response time, improve the concurrent processing capability of WebGIS cluster, the greater the number of concurrent users, the effect is more obvious.

     

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