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Policy-Based Autonomic Data Governance - 9783030172763
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Item specifics
- Condition
- Book Title
- Policy-Based Autonomic Data Governance
- ISBN
- 9783030172763
- Publication Year
- 2019
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Publication Name
- Policy-Based Autonomic Data Governance
- Item Height
- 235mm
- Publisher
- Springer Nature Switzerland A&G
- Item Width
- 155mm
- Subject
- Computer Science
- Item Weight
- 379g
- Number of Pages
- 227 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
Springer Nature Switzerland A&G
ISBN-13
9783030172763
eBay Product ID (ePID)
22046668895
Product Key Features
Publication Name
Policy-Based Autonomic Data Governance
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2019
Type
Textbook
Number of Pages
227 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Volume
11550
Item Weight
379g
Additional Product Features
Series Title
Lecture Notes in Computer Science
Country/Region of Manufacture
Switzerland
Editor
Seraphin Calo, Elisa Bertino, Dinesh Verma
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