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In the Cloud era, data is generated everywhere, how to efficiently analyze those "Big Data" that have properties such as large volume, fast generation, and variety, are most critical issues. MapReduce is a simplified distributed parallel data processing model. It has been widely applied in many areas such as web indexing, clustering and classification. However, when it confronted the sensitive...
It is vital to provides more necessary and accurate data for product services and knowledge discovery through provenance tracking of product lifecycle data. We propose one three-level framework of provenance tracking of product lifecycle data, which is consisting of business level, process level and data level firstly. After the models of product lifecycle data and their data provenance are given,...
In the past few years, the Web has become a de facto deployment environment for new application systems. Web-based Geospatial image map systems make satellite remote sensing data available to a wider range of public users than ever before. The storage and organization of global massive multi-dimensional remote sensing data have a big impact on the performance of Web mapping systems. To implement a...
In order to access heterogeneous databases more conveniently, more flexibly and faster, based on the ideas of CSCW, Mobile-Agent technology and distributed computing technology, a new distributed data access model based on Multi-Task Cooperative mobile-Agent is presented. This model describes the general framework, the distribution of Agents and the function of agents. Finally, the model was applied...
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