Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions Paperback / softback
Edited by Sarvesh Pandey, Udai Shanker, Vijayalakshmi Saravanan, Rajinikumar Ramalingam
Part of the EAI/Springer Innovations in Communication and Computing series
Paperback / softback
Description
This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities.
The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others.
Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications.
This book is intended for a variety of readers from professional industries, organizations, and students.
Information
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Out of stock
- Format:Paperback / softback
- Pages:338 pages, 81 Illustrations, color; 50 Illustrations, black and white; XIV, 338 p. 131 illus., 81 il
- Publisher:Springer International Publishing AG
- Publication Date:26/01/2024
- Category:
- ISBN:9783031155444
Information
-
Out of stock
- Format:Paperback / softback
- Pages:338 pages, 81 Illustrations, color; 50 Illustrations, black and white; XIV, 338 p. 131 illus., 81 il
- Publisher:Springer International Publishing AG
- Publication Date:26/01/2024
- Category:
- ISBN:9783031155444
