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WBDB (Workshop) (2015 :)

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Big data benchmarking = 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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data benchmarking/ edited by Tilmann Rabl ... [et al.].
Reminder of title:	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 /
remainder title:	WBDB 2015
other author:	Rabl, Tilmann.
corporate name:	WBDB (Workshop)
Published:	Cham :Springer International Publishing : : 2016.,
Description:	ix, 129 p. :ill., digital ;24 cm.
[NT 15003449]:	Big Data, Simulations and HPC Convergence -- Benchmarking Fast-Data Platforms for the Aadhaar Biometric Database -- Towards a General Array Database Benchmark: Measuring Storage Access -- ALOJA: a Benchmarking and Predictive Platform for Big Data Performance Analysis -- A Set of Metrics to Evaluate HDFS and S3 Performance on Amazon EMR with Avro and Parquet Formats -- Benchmarking the Availability and Fault Tolerance of Cassandra -- Performance Evaluation of Spark SQL using BigBench -- Accelerating Big Bench on Hadoop.
Contained By:	Springer eBooks
Subject:	Big data - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-49748-8
ISBN:	9783319497488

Big data benchmarking = 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 /
Big data benchmarking6th 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 /[electronic resource] :WBDB 2015edited by Tilmann Rabl ... [et al.]. - Cham :Springer International Publishing :2016. - ix, 129 p. :ill., digital ;24 cm. - Lecture notes in computer science,100440302-9743 ;. - Lecture notes in computer science ;10044..

Big Data, Simulations and HPC Convergence -- Benchmarking Fast-Data Platforms for the Aadhaar Biometric Database -- Towards a General Array Database Benchmark: Measuring Storage Access -- ALOJA: a Benchmarking and Predictive Platform for Big Data Performance Analysis -- A Set of Metrics to Evaluate HDFS and S3 Performance on Amazon EMR with Avro and Parquet Formats -- Benchmarking the Availability and Fault Tolerance of Cassandra -- Performance Evaluation of Spark SQL using BigBench -- Accelerating Big Bench on Hadoop.

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.

ISBN: 9783319497488

Standard No.: 10.1007/978-3-319-49748-8doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.D32 / W33 2015

Dewey Class. No.: 005.7

Big data benchmarking = 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 /
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520 $a 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.
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