TY  - BOOK
AU  - Rabl,Tilmann
AU  - Nambiar,Raghunath
AU  - Baru,Chaitanya
AU  - Bhandarkar,Milind
AU  - Poess,Meikel
AU  - Pyne,Saumyadipta
ED  - SpringerLink (Online service)
TI  - 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   
T2  - Information Systems and Applications, incl. Internet/Web, and HCI
SN  - 9783319497488
AV  - QA76.9.D3 
U1  - 005.74 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Database management
KW  - Data mining
KW  - Information storage and retrieval
KW  - Application software
KW  - Algorithms
KW  - Computer simulation
KW  - Database Management
KW  - Data Mining and Knowledge Discovery
KW  - Information Storage and Retrieval
KW  - Information Systems Applications (incl. Internet)
KW  - Algorithm Analysis and Problem Complexity
KW  - Simulation and Modeling
N1  - 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
N2  - 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.
UR  - https://doi.org/10.1007/978-3-319-49748-8
ER  -