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Titlebook: Data Management in Cloud, Grid and P2P Systems; 7th International Co Abdelkader Hameurlain,Tran Khanh Dang,Franck Morva Conference proceedi

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楼主: Buchanan
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An Elastic Approximate Similarity Search in Very Large Datasets with MapReduceange of applications. Furthermore, an unprecedented scale of data being processed may be infeasible or may lead to the paralysis of systems due to the slow performance and high overheads. Dealing with such an unstoppable data growth paves the way not only to similarity search consolidates but also t
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Standardized Multi-protocol Data Management for Grid and Cloud GridRPC Frameworksscale, heterogeneous and geographically distributed computing platforms. First versions of the standard did not take into account any data management feature. Data were parameters of the Remote Procedure calls, without any possibility to prefetch them, to use persistence, replication, external sourc
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Conference proceedings 2014 14 submissions. The papers are organized in the following topical sections: query processing in cloud, grid, and P2P systems: optimization and recommendation; MapReduce framework: data privacy and similarity search; data management in grid systems: protocol and recovery failure.
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0302-9743 e 2014, held in Munich, Germany, in September 2014, in conjunction with DEXA 2014. The 7 revised full papers presented were carefully reviewed and selected from 14 submissions. The papers are organized in the following topical sections: query processing in cloud, grid, and P2P systems: optimization
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Codification in International Perspectiveannot collaborate with other nodes. We propose a protocol that allows MapReduce computing nodes to exchange the data and perform IDA-aware MapReduce computation. We conduct experiments on the Grid’5000 testbed and report on performance evaluation of the prototype.
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Codification in International Perspectivech needs only a few developments to be usable with any middleware relying on RPC, and which provides access to numerous and easy to extend protocols and data middleware to access data. Gaining data management functions, it introduces interesting potentiality for optimization that such an approach would provide to large scale applications.
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