Distributed and Parallel Computing
eBook - PDF

Distributed and Parallel Computing

  1. 369 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Distributed and Parallel Computing

About this book

Master the growing field of distributed and parallel computing with this essential guide, offering expert insights into the fundamentals and real-world applications for intelligent and collaborative systems.

Distributed computing, or running programs across multiple computers over a network, is becoming a popular solution for addressing the demands for increased performance across industries, including scientific computing, oil exploration, biotechnology, and medicine. Distributed computing enables seamless communication and collaboration by allowing users from different locations to access and interact with their digital twin simultaneously. Distributed computing enhances the capabilities of digital twins by providing scalability, parallel processing, real-time data integration, collaboration support, resource optimization, fault tolerance, and security features. Distributed and Parallel Computing explores the fundamentals and innovations in intelligent and distributed computing systems and applications, including adaptivity and learning, agents and multi-agent systems, argumentation, case-based reasoning, and collaborative systems. Through expert insights, readers will discover promising real-world applications for this emerging technology.

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Yes, you can access Distributed and Parallel Computing by Sandhya Avasthi,Suman Lata Tripathi in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-Scrivener
Year
2025
Print ISBN
9781394288007
eBook ISBN
9781394288021
Edition
1
Topic
Computer Science
Subtopic
Computer Science General
Index
Computer Science

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Chapter 1 Introduction to Distributed Systems
  8. Chapter 2 Topology in Network Technologies
  9. Chapter 3 Distributed Processing Technology and Advancements
  10. Chapter 4 Distributed System Architecture and Computing Models
  11. Chapter 5 Parallel Computing Models and Architecture
  12. Chapter 6 Network Issues and High-Level Communication Tools in Distributed Computing
  13. Chapter 7 Infinite Horizons: Empowering Business Education Through Metaverse
  14. Chapter 8 Paradigm Shifts and Future Directions in Distributed Data Management for Decentralized Networks
  15. Chapter 9 Autonomy and Adaptive Architectures in Distributed Systems
  16. Chapter 10 Distributed Consensus Frequency Control in Networked Microgrid
  17. Chapter 11 Navigating Trust in Distributed Systems
  18. Chapter 12 Trust in Distributed Systems, Distributed Ledger, Blockchain, and Related Technologies
  19. Chapter 13 Strategy to Improve Psychological Elements and Customer Service in Intelligent Health Systems
  20. Chapter 14 New Age Tech’s Backbone: Role of Distributed Systems in Paving Path for a Durable Future
  21. Chapter 15 Power Optimization in 4Bit Comparator Architecture Through Precomputation Technique
  22. Index
  23. Also of Interest
  24. EULA