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计算机系统应用英文版:2016,25(11):61-68

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基于云平台的高并发WebGIS服务

(1.中国科学技术大学计算机科学与技术学院, 合肥 230027;2.中国科学技术大学先进技术研究院, 合肥 230027;3.南京师范大学虚拟地理环境教育部重点实验室, 南京 210023;4.南京师范大学地理科学学院, 南京 210023)

High Concurrent WebGIS Service Based on Cloud Platform

WANG Shao-Ping^1,2, GU Nai-Jie^1,2, SHEN Jie^3,4

(1.School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China;2.Institute of Advanced Technology, University of Science and Technology of China, Hefei 230027, China;3.Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China;4.College of Geographic Sciences, Nanjing Normal University, Nanjing 210023, China)

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本文已被：浏览 1727次下载 3482次
Received:March 02, 2016 Revised:April 14, 2016

中文摘要: 随着Internet技术的发展，传统的WebGIS服务器在面对大用户群高并发访问时会出现服务延迟甚至拒绝服务的现象.针对该问题，本文提出了一种基于云平台的应对高并发的WebGIS服务器架构.架构使用云平台为WebGIS服务器提供弹性计算和存储资源，并从负载均衡、缓存设计、数据库集群三方面缓解高并发瓶颈.选择开源服务器端软件GeoServer作为WebGIS应用实验部署.实验数据表明使用缓存机制明显降低了WebGIS服务响应时间.与单物理服务器相比，云平台WebGIS服务器集群架构能够有效处理高并发请求，且随着集群规模扩展，云平台WebGIS系统能够获得良好的加速比.

中文关键词: 缓存云平台数据库集群高并发负载均衡网络地理信息系统

Abstract:With the development of Internet technology, traditional WebGIS servers delay or even deny service when dealing with high concurrent access from large groups of users. After analyzing the problem, this paper proposes a framework of WebGIS servers based on cloud platform, which aims at dealing with high concurrent access. The framework uses cloud platform to provide flexible computing and storage resources for WebGIS servers, and alleviates bottleneck of high concurrency in three ways:load balancing, cache design, and database cluster. Open source server software GeoServer is selected to deploy as WebGIS application experiment. Experimental results show that usage of data cache can evidently reduce response time of WebGIS service. Compared with a single physical server, the WebGIS server clusters based on cloud platform can effectively process high-concurrence requests, and with the extending of cluster scale, the WebGIS system based on cloud platform can achieve good speedup.

keywords: cache cloud platform database cluster high concurrency load balancing WebGIS

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基金项目:安徽省自然科学基金（1408085MKL06）；国家自然科学基金（41371433）；高等学校学科创新引智计划（B07033）

引用文本：
王少萍,顾乃杰,沈婕.基于云平台的高并发WebGIS服务.计算机系统应用,2016,25(11):61-68
WANG Shao-Ping,GU Nai-Jie,SHEN Jie.High Concurrent WebGIS Service Based on Cloud Platform.COMPUTER SYSTEMS APPLICATIONS,2016,25(11):61-68

Author Name	Affiliation
WANG Shao-Ping	School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China Institute of Advanced Technology, University of Science and Technology of China, Hefei 230027, China
GU Nai-Jie	School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China Institute of Advanced Technology, University of Science and Technology of China, Hefei 230027, China
SHEN Jie	Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China College of Geographic Sciences, Nanjing Normal University, Nanjing 210023, China

Author Name	Affiliation
WANG Shao-Ping	School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China Institute of Advanced Technology, University of Science and Technology of China, Hefei 230027, China
GU Nai-Jie	School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China Institute of Advanced Technology, University of Science and Technology of China, Hefei 230027, China
SHEN Jie	Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China College of Geographic Sciences, Nanjing Normal University, Nanjing 210023, China