Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8163)
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 2012. WBDB 2012.
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Table of contents (14 papers)
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Front Matter
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Benchmarking, Foundations and Tools
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Domain Specific Benchmarking
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End-to-End Big Data Benchmarks
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Back Matter
About this book
This book constitutes the thoroughly refereed revised selected papers of the First Workshop on Big Data Benchmarks, WBDB 2012, held in San Jose, CA, USA, in May 2012 and the Second Workshop on Big Data Benchmarks, WBDB 2012, held in Pune, India, in December 2012.
The 14 revised papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on benchmarking, foundations and tools; domain specific benchmarking; benchmarking hardware and end-to-end big data benchmarks.
Editors and Affiliations
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Department of Electric and Computer Science, University of Toronto, Toronto, Canada
Tilmann Rabl, Hans-Arno Jacobsen
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Server Technologies, Oracle Corporation, Redwood Shores, USA
Meikel Poess
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Supercomputer Center, University of California San Diego, La Jolla, USA
Chaitanya Baru
Bibliographic Information
Book Title: Specifying Big Data Benchmarks
Book Subtitle: First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012 and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers
Editors: Tilmann Rabl, Meikel Poess, Chaitanya Baru, Hans-Arno Jacobsen
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-53974-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Softcover ISBN: 978-3-642-53973-2Published: 07 January 2014
eBook ISBN: 978-3-642-53974-9Published: 18 December 2013
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 203
Number of Illustrations: 54 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Information Storage and Retrieval