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Big Data Benchmarking -

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
Buch | Softcover
IX, 129 Seiten
2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-49747-1 (ISBN)
CHF 62,90 inkl. MwSt

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.  

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.

Erscheinungsdatum
Reihe/Serie Information Systems and Applications, incl. Internet/Web, and HCI
Lecture Notes in Computer Science
Zusatzinfo IX, 129 p. 60 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Schlagworte Applications • Benchmarking • BigBench • Big Data • big data benchmark • Cassandra • Computer Science • conference proceedings • Database Management • Database Programming • Databases • Hadoop • Hive • HPC • Informatics • Informatik • Mixed workload • Optimization • Performance Evaluation • query processing • Research • Scalability • Simulations • Spark • sparksql • SQL • TPC • WBDB
ISBN-10 3-319-49747-2 / 3319497472
ISBN-13 978-3-319-49747-1 / 9783319497471
Zustand Neuware
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