Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8991)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): WBDB: Workshop on Big Data Benchmarks
Conference proceedings info: WBDB 2014.
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Table of contents (13 papers)
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Front Matter
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Benchmark Specifications and Proposals
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Front Matter
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Back Matter
About this book
This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Big Data Benchmarking, WBDB 2014, held in Potsdam, Germany, in August 2014.
The 13 papers presented in this book were carefully reviewed and selected from numerous submissions and cover topics such as benchmarks specifications and proposals, Hadoop and MapReduce - in the different context such as virtualization and cloud - as well as in-memory, data generation, and graphs.
Editors and Affiliations
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University of Toronto, Toronto, Canada
Tilmann Rabl
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SAP SE, Köln, Germany
Kai Sachs
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Server Technologies, Oracle Corporation, Redwood Shores, USA
Meikel Poess
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University of California at San Diego, La Jolla, CA, USA
Chaitanya Baru
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Middleware Systems Research Group, Toronto, Canada
Hans-Arno Jacobson
Bibliographic Information
Book Title: Big Data Benchmarking
Book Subtitle: 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6- 2014, Revised Selected Papers
Editors: Tilmann Rabl, Kai Sachs, Meikel Poess, Chaitanya Baru, Hans-Arno Jacobson
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-20233-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-20232-7Published: 25 June 2015
eBook ISBN: 978-3-319-20233-4Published: 13 June 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 157
Number of Illustrations: 54 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Information Systems Applications (incl. Internet)