Distributed and Parallel Computing (eBook)
369 Seiten
Wiley-Scrivener (Verlag)
978-1-394-28802-1 (ISBN)
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.
Sandhya Avasthi, PhD is an assistant professor in the Computer Science and Engineering Department at ABES Engineering College at Dr. Abdul Kalam Technical University with over 18 years of teaching experience. She has published numerous research articles in refereed international journals, conference proceedings, and book chapters. Her research interests include natural language processing, information extraction, information retrieval, data science, and business intelligence.
Suman Lata Tripathi, PhD is a professor at Lovely Professional University with more than 22 years of experience in academics and research. She has published more than 19 books, 125 research papers in refereed science journals, conference proceedings, 13 Indian patents, and four copyrights. Her area of expertise includes microelectronics device modeling and characterization, low-power VLSI circuit design, VLSI design testing, and advanced FET design for IoT.
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.
| Erscheint lt. Verlag | 23.10.2025 |
|---|---|
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Schlagworte | Cluster Computing • Digital Workplace • distributed algorithms • Distributed Digital Twin • Distributed Intelligent Sensing • Distributed Model • distributed processing • Distributed System in 6G • Distributed Systems • High-Performance Computing • Industry 4.0 • Parallel Algorithms • Parallel Computing • parallel machines • Parallel Random-Access Machines |
| ISBN-10 | 1-394-28802-6 / 1394288026 |
| ISBN-13 | 978-1-394-28802-1 / 9781394288021 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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