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Springer - Resource Management in Distributed Systems Book

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Description

Explore the complexities of modern computing with Resource Management in Distributed Systems. Part of the Studies in Big Data series (151), this academic text from Springer provides a deep look into the essential frameworks required to handle large-scale data environments. As computing moves toward more decentralized models, understanding how to effectively allocate and manage resources becomes a necessity for professionals and students. This book serves as a specialized resource for those studying computer science, artificial intelligence, and machine learning. It is designed to support academic research and professional development in the field of big data and distributed computing architectures. Whether you are a researcher or a student pursuing advanced studies in computer science, this publication offers the theoretical and practical foundations needed to navigate the evolving landscape of distributed systems. Add this essential volume from the Springer Studies in Big Data collection to your professional library to stay informed on current industry developments.

Key Features

Part of the specialized Studies in Big Data series (Volume 151) for targeted academic study.

Published by Springer, a trusted name in high-quality scientific and technical literature.

Focuses on the core principles of resource management within distributed computing environments.

Ideal for readers specializing in computer science, AI, and machine learning topics.

Provides a structured approach to understanding large-scale data system management.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 June 2025
Listed Since
08 August 2025

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