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首页> 外文期刊>Computers，environment and urban systems >Performance improvement techniques for geospatial web services in a cyberinfrastructure environment - A case study with a disaster management portal
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Performance improvement techniques for geospatial web services in a cyberinfrastructure environment - A case study with a disaster management portal

机译：网络基础架构环境中地理空间Web服务的性能改进技术-带有灾难管理门户的案例研究

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High population growth, urbanization, and global climate change drive up the frequency of disasters, affecting the safety of people's lives and property worldwide. Because of the inherent big-data nature of this disaster-related information, the processes of data exchange and transfer among physically distributed locations are increasingly challenging. This paper presents our proposed efficient network transmission model for interoperating heterogeneous geospatial data in a cyberinfrastructure environment:This transmission model supports multiple data encoding methods, such as GML (Geography Markup Language) and GeoJSON, as well as data compression/decompression techniques, including LZMA and DEFLATE. Our goal is to tackle fundamental performance issues that impact efficient retrieval of remote data. Systematic experiments were conducted to demonstrate the superiority of the proposed transmission model over the traditional OGC Web Feature Service (WFS) transmission model. The experiments also identified the optimized configuration for data encoding And compression techniques in different network environments. To represent a real-world user request scenario, the Amazon EC2 cloud platform was utilized to deploy multiple client nodes for the experiments. A web portal was developed to integrate the real-time geospatial web services reporting with real-time earthquake related information for spatial policy analysis and collaborative decision-making. (C) 2015 Elsevier Ltd. All rights reserved.
机译：高人口增长，城市化和全球气候变化加剧了灾害发生的频率，影响了全世界人民的生命和财产安全。由于这种与灾难相关的信息具有固有的大数据性质，因此在物理分布位置之间进行数据交换和传输的过程越来越具有挑战性。本文介绍了我们提出的用于在网络基础架构环境中互操作异构地理空间数据的有效网络传输模型：该传输模型支持多种数据编码方法，例如GML（地理标记语言）和GeoJSON，以及数据压缩/解压缩技术，包括LZMA和DEFLATE。我们的目标是解决影响远程数据有效检索的基本性能问题。进行了系统的实验，以证明所提出的传输模型优于传统的OGC Web功能服务（WFS）传输模型。实验还确定了不同网络环境中数据编码和压缩技术的优化配置。为了代表现实世界中的用户请求场景，Amazon EC2云平台被用来部署多个客户端节点进行实验。开发了一个Web门户，以将实时地理空间Web服务报告与实时地震相关信息集成在一起，以进行空间策略分析和协作决策。 （C）2015 Elsevier Ltd.保留所有权利。

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