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Building Robust Geospatial Web Services for Agricultural Information Extraction and Sharing

机译:为农业信息提取和分享构建强大的地理空间Web服务

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Geospatial web service of agricultural information has a wide variety of consumers. An operational agricultural service will receive considerable requests and process a huge amount of datasets each day. To ensure the service quality, many strategies have to be taken during developing and deploying agricultural information services. This paper presents a set of methods to build robust geospatial web service for agricultural information extraction and sharing. The service is designed to serve the public and handle heavy-load requests for a long-lasting term with least maintenance. We have developed a web service to validate our approach. The service is used to serve more than 10 TB data product of agricultural drought. The performance is tested. The result shows that the service has an excellent response time and the use of system resources is stable. We have plugged the service into an operational system for global drought monitoring. The statistics and feedbacks show our approach is feasible and efficient in operational web systems.
机译:农业信息的地理空间网页提供各种各样的消费者。运营农业服务将收到相当大的请求,并每天处理大量数据集。为确保服务质量,在开发和部署农业信息服务期间必须采取许多策略。本文介绍了一套为农业信息提取和共享构建强大的地理空间Web服务的方法。该服务旨在为公众提供服务,并处理最少维护的长期术语的重负荷请求。我们开发了一个Web服务来验证我们的方法。该服务用于服务超过10 TB的农业干旱数据产品。性能进行了测试。结果表明,该服务具有出色的响应时间,系统资源的使用是稳定的。我们已将服务插入全球干旱监控的操作系统。统计和反馈显示我们的方法是在运营Web系统中可行和有效的。

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