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Policy-Based Autonomic Data Governance by Seraphin B Calo; Elisa Bertino; Dinesh Verma; International Workshop on Policy-based Autonomic Data Governance is a nonfiction available to read on EtoBox.
What is Policy-Based Autonomic Data Governance about?
"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
Who reads Policy-Based Autonomic Data Governance?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Seraphin B Calo; Elisa Bertino; Dinesh Verma; International Workshop on Policy-based Autonomic Data Governance
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2019
- Language
- EN
- ISBN
- 9783030172763
- Category
- nonfiction
- Subjects
- Computer Science, Mathematics, Stem
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