数字农科院2.0

Geofairy: Towards A One-Stop And L.ocation Based Service For G eospatial Information Retrieval

文献类型： 外文期刊

作者： Sun, ZH; Di, LP; Heo, G; Zhang, C; Fang, H; Yue, P; Jiang, LL; Tan, XC; Guo, LY; Lin, L

作者机构：

关键词： One-stop service; LBS; Geospatial web service; Geospatial cloud; Geospatial mobile application

期刊名称： COMPUTERS ENVIRONMENT AND URBAN SYSTEMS

ISSN： 0198-9715

年卷期： 2017 年 62 卷

页码：

收录情况： JCR（2021版） ; EI（2021版）

摘要： It is still a great challenge to efficiently deliver dynamic and heterogeneous Earth observation (EO) information to users based on their real time locations. However, the rapidly evolving techniques create a chance to meet the challenge. This paper proposes a framework to realize a one-stop and location based service (LBS) for geospatial information (GI) retrieval on mobile platforms. The framework originally integrates a number of state-of-the-art techniques with geospatial data resources and let them cooperate together to provide a robust and highly available LBS. Cloud platform is used to deploy the server module. A location enabled load balancing algorithm is presented to balance the cloud instance VMs on behalf of LBS. A system named GeoFairy is implemented. It provides a one-stop service for gathering and delivering twelve kinds of GI on real time locations. Two Apps are built for the major mobile ecosystems: iOS and Android. Many tests, including a stress test, have been made via a number of mobile devices at various locations. The results demonstrate that GeoFairy is capable of one-stop delivering real-time GI to users and significantly reducing costs on information searching and retrieving. This feature is very helpful in many scenarios such as disaster responding and military actions. This research paves a way on both theoretical and practical aspects for researchers and developers to realize operational mobile applications for one stop and location based GI retrieval. (C) 2016 Elsevier Ltd. All rights reserved.

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