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Record Nr. |
UNISA996465520003316 |
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Titolo |
Big Data Benchmarking [[electronic resource] ] : 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 / / edited by Tilmann Rabl, Raghunath Nambiar, Chaitanya Baru, Milind Bhandarkar, Meikel Poess, Saumyadipta Pyne |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (IX, 129 p. 60 illus.) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI ; ; 10044 |
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Disciplina |
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Soggetti |
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Database management |
Data mining |
Information storage and retrieval |
Application software |
Algorithms |
Computer simulation |
Database Management |
Data Mining and Knowledge Discovery |
Information Storage and Retrieval |
Information Systems Applications (incl. Internet) |
Algorithm Analysis and Problem Complexity |
Simulation and Modeling |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 -- |
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Benchmarking the Availability and Fault Tolerance of Cassandra -- Performance Evaluation of Spark SQL using BigBench -- Accelerating Big Bench on Hadoop. |
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Sommario/riassunto |
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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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