Overview
- Presents a comprehensive review of the latest developments in big data platforms
- Proposes state-of-the-art technological solutions for important issues in big data processing, resource and data management, fault tolerance, and monitoring and controlling
- Covers basic theory, new methodologies, innovation trends, experimental results, and implementations of real-world applications
Part of the book series: Computer Communications and Networks (CCN)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation.
The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge.
The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are neededfor real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.
Editors and Affiliations
About the editors
Dr. Florin Pop is a Professor at the Department of Computer Science and Engineering at the University Politehnica of Bucharest, Romania and a Senior Researcher (1st Degree) at the Department of Intelligent and Distributed Data Intensive Systems at the National Institute for Research and Development in Informatics, Bucharest, Romania.
Dr. Gabriel Neagu is a Senior Researcher (1st Degree) at the Department of Intelligent and Distributed Data Intensive Systems at the National Institute for Research and Development in Informatics, Bucharest, Romania.
Bibliographic Information
Book Title: Big Data Platforms and Applications
Book Subtitle: Case Studies, Methods, Techniques, and Performance Evaluation
Editors: Florin Pop, Gabriel Neagu
Series Title: Computer Communications and Networks
DOI: https://doi.org/10.1007/978-3-030-38836-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-38835-5Published: 29 September 2021
Softcover ISBN: 978-3-030-38838-6Published: 30 September 2022
eBook ISBN: 978-3-030-38836-2Published: 28 September 2021
Series ISSN: 1617-7975
Series E-ISSN: 2197-8433
Edition Number: 1
Number of Pages: XVII, 290
Number of Illustrations: 37 b/w illustrations, 60 illustrations in colour
Topics: Computer Communication Networks, Big Data, Data Storage Representation, Data Mining and Knowledge Discovery, IT in Business