Isbn: 9783030172763 - policy-based autonomic data governance: 11550 (17 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2019

    3030172767 / 9783030172763

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  • Lingua: Inglese

    Editore: Springer 2019-04, 2019

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  • Lingua: Inglese

    Editore: Springer, 2019

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  • Lingua: Inglese

    Editore: Springer-Verlag Gmbh Apr 2019, 2019

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    Taschenbuch. Condizione: Neu. Neuware -Advances in artificial intelligence, sensor computing, robotics, and mobile systems are making autonomous systems a reality. At the same time, the influence of edge computing is leading to more distributed architectures incorporating more autonomous elements. The flow of information is critical in such environments, but the real time, distributed nature of the system components complicates the data protection mechanisms. Policy-based management has proven useful in simplifying the complexity of management in domains like networking, security, and storage; it is expected that many of those benefits would carry over to the task of managing big data and autonomous systems.This book aims at providing an overview of recent work and identifying challenges related to the design of policy-based approaches for managing big data and autonomous systems. An important new direction explored in the book is to make the major elements of the system self-describing and self-managing. This would lead to architectures where policy mechanisms are tightly coupled with the system elements. In such integrated architectures, we need new models for information assurance, traceability of information, and better provenance on information flows. In addition when dealing with devices with actuation capabilities and, thus, being able to make changes to physical spaces, safety is critical. With an emphasis on policy-based mechanisms for governance of data security and privacy, and for safety assurance, the papers in this volume follow three broad themes: foundational principles and use-cases for the autonomous generation of policies; safe autonomy; policies and autonomy in federated environments. 227 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, 2019

    3030172767 / 9783030172763

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  • Lingua: Inglese

    Editore: Springer, 2019

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    Condizione: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Springer-Verlag New York Inc, 2019

    3030172767 / 9783030172763

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    Paperback. Condizione: Brand New. 244 pages. 9.25x6.10x0.47 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2019

    3030172767 / 9783030172763

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  • Lingua: Inglese

    Editore: Springer International Publishing, Springer International Publishing, 2019

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Advances in artificial intelligence, sensor computing, robotics, and mobile systems are making autonomous systems a reality. At the same time, the influence of edge computing is leading to more distributed architectures incorporating more autonomous elements. The flow of information is critical in such environments, but the real time, distributed nature of the system components complicates the data protection mechanisms. Policy-based management has proven useful in simplifying the complexity of management in domains like networking, security, and storage; it is expected that many of those benefits would carry over to the task of managing big data and autonomous systems.This book aims at providing an overview of recent work and identifying challenges related to the design of policy-based approaches for managing big data and autonomous systems. An important new direction explored in the book is to make the major elements of the system self-describing and self-managing. This would lead to architectures where policy mechanisms are tightly coupled with the system elements. In such integrated architectures, we need new models for information assurance, traceability of information, and better provenance on information flows. In addition when dealing with devices with actuation capabilities and, thus, being able to make changes to physical spaces, safety is critical. With an emphasis on policy-based mechanisms for governance of data security and privacy, and for safety assurance, the papers in this volume follow three broad themes: foundational principles and use-cases for the autonomous generation of policies; safe autonomy; policies and autonomy in federated environments.

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    Lingua: Inglese

    Editore: Springer, 2019

    3030172767 / 9783030172763

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    Taschenbuch. Condizione: Neu. Policy-Based Autonomic Data Governance | Seraphin Calo (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiv | Englisch | 2019 | Springer | EAN 9783030172763 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer, 2019

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    Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2019

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    Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Advances in artificial intelligence, sensor computing, robotics, and mobile systems are making autonomous systems a reality. At the same time, the influence of edge computing is leading to more distributed architectures incorporating more autonomous elements. The flow of information is critical in such environments, but the real time, distributed nature of the system components complicates the data protection mechanisms. Policy-based management has proven useful in simplifying the complexity of management in domains like networking, security, and storage; it is expected that many of those benefits would carry over to the task of managing big data and autonomous systems.This book aims at providing an overview of recent work and identifying challenges related to the design of policy-based approaches for managing big data and autonomous systems. An important new direction explored in the book is to make the major elements of the system self-describing and self-managing. This would lead to architectures where policy mechanisms are tightly coupled with the system elements. In such integrated architectures, we need new models for information assurance, traceability of information, and better provenance on information flows. In addition when dealing with devices with actuation capabilities and, thus, being able to make changes to physical spaces, safety is critical. With an emphasis on policy-based mechanisms for governance of data security and privacy, and for safety assurance, the papers in this volume follow three broad themes: foundational principles and use-cases for the autonomous generation of policies; safe autonomy; policies and autonomy in federated environments.

  • Lingua: Inglese

    Editore: Springer, 2019

    3030172767 / 9783030172763

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  • Lingua: Inglese

    Editore: Springer, 2019

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  • Lingua: Inglese

    Editore: Springer International Publishing, 2019

    3030172767 / 9783030172763

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written by experts in the fieldState-of-the-art researchAddresses research challenges on policy-based management systemsAdvances in artificial intelligence, sensor computing, robotics, and mobile systems are making autonomous systems a .

  • Lingua: Inglese

    Editore: Springer, 2019

    3030172767 / 9783030172763

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  • Lingua: Inglese

    Editore: Springer, Springer Apr 2019, 2019

    3030172767 / 9783030172763

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Advances in artificial intelligence, sensor computing, robotics, and mobile systems are making autonomous systems a reality. At the same time, the influence of edge computing is leading to more distributed architectures incorporating more autonomous elements. The flow of information is critical in such environments, but the real time, distributed nature of the system components complicates the data protection mechanisms. Policy-based management has proven useful in simplifying the complexity of management in domains like networking, security, and storage; it is expected that many of those benefits would carry over to the task of managing big data and autonomous systems.This book aims at providing an overview of recent work and identifying challenges related to the design of policy-based approaches for managing big data and autonomous systems. An important new direction explored in the book is to make the major elements of the system self-describing and self-managing. This would lead to architectures where policy mechanisms are tightly coupled with the system elements. In such integrated architectures, we need new models for information assurance, traceability of information, and better provenance on information flows. In addition when dealing with devices with actuation capabilities and, thus, being able to make changes to physical spaces, safety is critical. With an emphasis on policy-based mechanisms for governance of data security and privacy, and for safety assurance, the papers in this volume follow three broad themes: foundational principles and use-cases for the autonomous generation of policies; safe autonomy; policies and autonomy in federated environments.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch.