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Big Data Benchmarks Performance Optimization And Emerging Hardware 6th Workshop Bpoe 2015 Kohala Hi Usa August 31 September 4 2015 Revised Selected Papers 1st Edition Jianfeng Zhan

  • SKU: BELL-5355778
Big Data Benchmarks Performance Optimization And Emerging Hardware 6th Workshop Bpoe 2015 Kohala Hi Usa August 31 September 4 2015 Revised Selected Papers 1st Edition Jianfeng Zhan
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Big Data Benchmarks Performance Optimization And Emerging Hardware 6th Workshop Bpoe 2015 Kohala Hi Usa August 31 September 4 2015 Revised Selected Papers 1st Edition Jianfeng Zhan instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 10.26 MB
Pages: 151
Author: Jianfeng Zhan, Rui Han, Roberto V. Zicari (eds.)
ISBN: 9783319290058, 9783319290065, 3319290053, 3319290061
Language: English
Year: 2016
Edition: 1

Product desciption

Big Data Benchmarks Performance Optimization And Emerging Hardware 6th Workshop Bpoe 2015 Kohala Hi Usa August 31 September 4 2015 Revised Selected Papers 1st Edition Jianfeng Zhan by Jianfeng Zhan, Rui Han, Roberto V. Zicari (eds.) 9783319290058, 9783319290065, 3319290053, 3319290061 instant download after payment.

This book constitutes the thoroughly revised selected papers of the 6th workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 2015, held in Kohala Coast, HI, USA, in August/September 2015 as satellite event of VLDB 2015, the 41st International Conference on Very Large Data Bases.

The 8 papers presented were carefully reviewed and selected from 10 submissions. The workshop focuses on architecture and system support for big data systems, aiming at bringing researchers and practitioners from data management, architecture, and systems research communities together to discuss the research issues at the intersection of these areas. This book also invites three papers from several industrial partners, including two papers describing tools used in system benchmarking and monitoring and one paper discussing principles and methodologies in existing big data benchmarks.

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