Overview
- This book is open access, which means that you have free and unlimited access
- Surveys the progress in selected aspects of the growing field of big data
- Tackles problems such as transportation systems, energy supply, medicine
- Examines in combination with increasingly complicated hardware
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13201)
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About this book
This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware.
It emerged from a research program established by the German Research Foundation (DFG) as priority program SPP 1736 on Algorithmics for Big Data where researchers from theoretical computer science worked together with application experts in order to tackle problems in domains such as networking, genomics research, and information retrieval. Such domains are unthinkable without substantial hardware and software support, and these systems acquire, process, exchange, and store data at an exponential rate.
The chapters of this volume summarize the results of projects realized within the program and survey-related work.
This is an open access book.
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Keywords
- computer hardware
- computer networks
- computer programming
- computer science
- computer systems
- directed graphs
- distributed computer systems
- distributed systems
- engineering
- graph theory
- graphic methods
- internet
- mathematics
- microprocessor chips
- network protocols
- parallel processing systems
- processors
- signal processing
- telecommunication systems
- theoretical computer science
Table of contents (14 chapters)
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Front Matter
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Algorithms for Large and Complex Networks
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Front Matter
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Algorithms for Big Data and Their Applications
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Front Matter
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Back Matter
Reviews
“This book covers a wide range of topics in big data research. If I were running a master’s program in big data, I would use this book as a source for dissertations. It’s hard to envisage anyone (except perhaps a starting PhD student wanting to get a feel for the range of big data research) reading the entire book, but the individual papers will have their own readerships.” (J. H. Davenport, Computing Reviews, February 7, 2024)
Editors and Affiliations
Bibliographic Information
Book Title: Algorithms for Big Data
Book Subtitle: DFG Priority Program 1736
Editors: Hannah Bast, Claudius Korzen, Ulrich Meyer, Manuel Penschuck
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-21534-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022
Softcover ISBN: 978-3-031-21533-9Published: 19 January 2023
eBook ISBN: 978-3-031-21534-6Published: 17 January 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 285
Number of Illustrations: 87 b/w illustrations, 54 illustrations in colour
Topics: Computer Communication Networks, Data Structures and Information Theory, Mathematics of Computing, Algorithm Analysis and Problem Complexity