Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10044)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: WBDB 2015. WBDB 2015.
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Table of contents (7 papers)
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Future Challenges
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New Benchmark Proposals
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Supporting Technology
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Experimental Results
Other volumes
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Big Data Benchmarking
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Big Data Benchmarking
Keywords
About this book
This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Big Data Benchmarking, WBDB 2015, held in Toronto, ON, Canada, in June 2015 and the 7th International Workshop, WBDB 2015, held in New Delhi, India, in December 2015.
The 8 full papers presented in this book were carefully reviewed and selected from 22 submissions. They deal with recent trends in big data and HPC convergence, new proposals for big data benchmarking, as well as tooling and performance results.
Editors and Affiliations
Bibliographic Information
Book Title: Big Data Benchmarking
Book Subtitle: 6th International Workshop, WBDB 2015, Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers
Editors: Tilmann Rabl, Raghunath Nambiar, Chaitanya Baru, Milind Bhandarkar, Meikel Poess, Saumyadipta Pyne
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-49748-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-49747-1Published: 06 December 2016
eBook ISBN: 978-3-319-49748-8Published: 30 November 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 129
Number of Illustrations: 60 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Algorithm Analysis and Problem Complexity, Simulation and Modeling