Role of Data-Intensive Distributed Computing Systems in Designing D...
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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. 

About the book
Author
Sarvesh  Pandey , Rajinikumar  Ramalingam , Vijayalakshmi  Saravanan , Udai  Shanker
Imprint
Springer
Collection
EAI/Springer Innovations in Communication and Computing
Publication date
2023-01-25
Pages
338 pages
Print ISBN
9783031155413
Language
English
Ebook informations
EAN PDF
9783031155420
Price
£109.50
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Copy count 3
Print count 33
File size 8899 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9783031155420
Price
£109.50
Read more
Copy count 3
Print count 33
File size 33669 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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