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Titlebook: Cloud Computing for Geospatial Big Data Analytics; Intelligent Edge, Fo Himansu Das,Rabindra K. Barik,Diptendu Sinha Roy Book 2019 Springer

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發(fā)表于 2025-3-25 04:18:31 | 只看該作者
Himansu Das,Rabindra K. Barik,Diptendu Sinha RoyCovers the state-of-art of theories and applications in cloud computing in several diversified fields.Presents the latest research findings in cloud computing, geospatial data, and big data analytics
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發(fā)表于 2025-3-25 08:36:52 | 只看該作者
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發(fā)表于 2025-3-25 14:34:32 | 只看該作者
https://doi.org/10.1007/978-3-030-03359-0Geospatial Data; Cloud Computing; Geospatial Web Services; Spatial Data Infrastructure; Fog Computing; Ge
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發(fā)表于 2025-3-25 18:08:51 | 只看該作者
Springer Nature Switzerland AG 2019
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發(fā)表于 2025-3-25 21:16:01 | 只看該作者
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發(fā)表于 2025-3-26 04:09:40 | 只看該作者
https://doi.org/10.1007/978-1-4614-8984-9ime, they have found applications in many diverse fields and domains. Handling big data has given rise to many other issues like growing computing complexity, increasing data size, provisioning of resources and the need for such systems to enable working together of heterogeneous systems. As a resul
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發(fā)表于 2025-3-26 04:49:14 | 只看該作者
https://doi.org/10.1007/978-1-4614-8984-9mputing to be combined with fog computing, in order to avoid latency. These technologies have daring challenges. This chapter focuses on two major challenges, namely security and scheduling of user requests. The security is met by our proposed trust model which includes both direct trust and reputat
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發(fā)表于 2025-3-26 09:04:05 | 只看該作者
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發(fā)表于 2025-3-26 18:28:10 | 只看該作者
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