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  • 1
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819957323
    Language: English
    Pages: 1 Online-Ressource(XIV, 215 p. 1 illus.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Information technology ; Mobile computing. ; Computers, Special purpose.
    Abstract: Chapter 1. Introduction -- Chapter 2. Architecture of Industrial Internet-centric BPM -- Chapter3. Industrial-metadata intelligent service for geo-distributed file system -- Chapter 4. Intelligent cooperation technology for multi-access device -- Chapter 5. Deep optimization for storage and computation over Industrial Internet -- Chapter 6. User data privacy protection in industrial application -- Chapter 7. Industrial application data security preservation in edge computing -- Chapter 8. Attribute-based intelligent data management for industrial application -- Chapter 9. Mobile business task management over Industrial Internet -- Chapter 10. Intelligent business resources deployment over Industrial Internet -- Chapter 11. Intelligent business process scheduling for industrial application.
    Abstract: In the process of transforming modern manufacturing into intelligent manufacturing, more and more manufacturing processes are being deployed digitally on the Internet. As a novel digital industrial infrastructure and new application ecology, Industrial Internet could integrate the novel information and communication technology into various industrial manufacturing processes, through the safe and reliable intelligent interconnection of factors concerning people, machines and things. It aims at significantly improving the digitalization, networking and intelligence of manufacturing processes through the comprehensive interconnection of all manufacturing factors. To deploy and run traditional manufacturing processes on Industrial Internet efficiently, corresponding digital technical means are called for. These technical means play an important role in many potential applications of intelligent manufacturing, e.g. integrating product lifecycle data, strengthening industrial chain cooperation, providing decision-making service information oriented on the production organization process, and providing data support for product optimization and upgrading. This book focuses on the theory, techniques and means for integrating intelligent Industrial Internet applications deployed via mobile edge computing. Concretely, it mainly studies the intelligent theory, techniques and means from a problem-driven and demand-driven perspective, which supports collaborative design, agile manufacturing, remote operation and maintenance on Industrial Internet. These technologies primarily include Industrial Internet-centric intelligent resource scheduling methods, various types of industrial data privacy protection, intelligent version management technologies supporting digital twin applications, various data mining algorithms for intelligent execution of business processes, etc. Given its scope, the book offers a valuable theoretical and technical resource for project managers, technical developers, researchers, educators and students at colleges and universities.
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Chapman and Hall/CRC | Boston, MA : Safari
    ISBN: 9781482263503
    Language: English
    Pages: 1 online resource (432 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is divided into four sections: introduction to Big Data,
    Note: Online resource; Title from title page (viewed July 28, 2015) , Mode of access: World Wide Web.
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