Titlebook: Intelligent Web Data Management: Software Architectures and Emerging Technologies; Kun Ma,Ajith Abraham,Runyuan Sun Book 2016 Springer Int

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Intelligent Web Data Management of Multi-tenant Data Middlewaresparent to the developers of cloud applications. Additionally, the analysis is discussed in detail. Finally, some expansion techniques such as extensibility, scalability and disaster recovery are introduced.

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Intelligent Web Data Management of Content Syndication and Recommendationrmance, and user experience. To address these limitations, this Chapter introduces intelligent Web data management of a content syndication and recommendation system. The experimental result depicts that this architecture speeds up the search and synchronization process, and provides friendly user experience.

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Intelligent Web Data Management of Literature Sharingliterature sharing system. This system allows easy manipulation of the literature sharing and academic exchange, which are used frequently and are very necessary in scientific activity such as research, writing chapters and dissertations, and preparing reports.

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Book 2016matic categories ofintelligent Web data management: cloud computing, social networking, monitoringand literature management. The Volume will be a valuable reference toresearchers, students and practitioners in the field of Web data management,cloud computing, social networks using advanced intelligence tools..

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Intelligent Web Data Management of WebSocket-Based Real-Time Monitoringtoring experimental results show that the average latency time of our WebSocket monitoring is generally lower than polling, FlashSocket and Socket solution, and the storage experimental results show that our storage model has low redundancy rate, storage space and latency.

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