This book focuses on resource management in distributed computing systems. The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge computing. The topics covered in the book are resource management in cloud computing/edge computing/fog computing/dew computing, resource management in Internet of things, resource allocation, scheduling, monitoring, and orchestration in distributed computing systems, resource management in 5G network and beyond, latency-aware resource management, energy-efficient resource management, interoperability and portability, security and privacy in resource management, reliable resource management, trustworthiness in resource management, fault tolerance in resource management, and simulation related to resource management.
| ISBN: | 9789819726431 |
| Publication date: | 1st June 2024 |
| Author: | Anwesha Mukherjee, Debashis De, Rajkumar Buyya |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Hardback |
| Pagination: | 314 pages |
| Series: | Studies in Big Data |
| Genres: |
Artificial intelligence Cloud computing Computer networking and communications |
This book focuses on resource management in distributed computing systems. The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge computing. The topics covered in the book are resource management in cloud computing/edge computing/fog computing/dew computing, resource management in Internet of things, resource allocation, scheduling, monitoring, and orchestration in distributed computing systems, resource management in 5G network and beyond, latency-aware resource management, energy-efficient resource management, interoperability and portability, security and privacy in resource management, reliable resource management, trustworthiness in resource management, fault tolerance in resource management, and simulation related to resource management.
Resource Management in Distributed Systems features in the following genres: Artificial intelligence, Cloud computing, Computer networking and communications
Resource Management in Distributed Systems is available in Hardback
Resource Management in Distributed Systems was written by Anwesha Mukherjee, Debashis De, Rajkumar Buyya and published by Springer an imprint of Springer Nature Singapore
Resource Management in Distributed Systems has 314 pages
Yes it is part of Studies in Big Data series
£143.99