Context Aware Task Scheduling In Distributed Computing Systems


Context Aware Task Scheduling In Distributed Computing Systems pdf

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Context-aware Task Scheduling in Distributed Computing Systems


Context-aware Task Scheduling in Distributed Computing Systems

Author: Janick Edinger

language: en

Publisher:

Release Date: 2019*


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Resource Management in Distributed Systems


Resource Management in Distributed Systems

Author: Anwesha Mukherjee

language: en

Publisher: Springer Nature

Release Date: 2024-05-31


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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 The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge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.

Recent Trends in Computational Sciences


Recent Trends in Computational Sciences

Author: Gururaj H L

language: en

Publisher: CRC Press

Release Date: 2023-11-17


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This book is a compilation of research papers and presentations from the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023, Mysuru, India, 16-17 March 2023). The book covers a wide range of topics, including data mining, natural language processing, deep learning, computer vision, big data analytics, cryptography, smart contracts, decentralized applications, and blockchain-based solutions for various industries such as healthcare, finance, and supply chain management. The research papers presented in this book highlight the latest advancements and practical applications in data science, machine learning, and blockchain technology, and provide insights into the future direction of these fields. The book serves as a valuable resource for researchers, students, and professionals in the areas of data science, machine learning, and blockchain technology.