Big Data Benchmarking: 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6- 2014, Revised Selected Papers

✍ Scribed by Tilmann Rabl, Kai Sachs, Meikel Poess, Chaitanya Baru, Hans-Arno Jacobson (eds.)

Publisher: Springer International Publishing
Year: 2015
Tongue: English
Leaves: 164
Series: Lecture Notes in Computer Science 8991
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Big Data Benchmarking, WBDB 2014, held in Potsdam, Germany, in August 2014.

The 13 papers presented in this book were carefully reviewed and selected from numerous submissions and cover topics such as benchmarks specifications and proposals, Hadoop and MapReduce - in the different context such as virtualization and cloud - as well as in-memory, data generation, and graphs.

✦ Table of Contents

Front Matter....Pages I-X
Front Matter....Pages 1-1
Towards a Complete BigBench Implementation....Pages 3-11
BW-EML SAP Standard Application Benchmark....Pages 12-23
Benchmarking Big Data Systems: Introducing TPC Express Benchmark HS....Pages 24-28
Benchmarking Internet of Things Solutions....Pages 29-36
Benchmarking Elastic Query Processing on Big Data....Pages 37-44
An Approach to Benchmarking Industrial Big Data Applications....Pages 45-60
Front Matter....Pages 61-61
Benchmarking SQL-on-Hadoop Systems: TPC or Not TPC?....Pages 63-72
The Emergence of Modified Hadoop Online-Based MapReduce Technology in Cloud Environments....Pages 73-86
Benchmarking Virtualized Hadoop Clusters....Pages 87-98
Front Matter....Pages 99-99
PopulAid: In-Memory Test Data Generation....Pages 101-108
Towards Benchmarking IaaS and PaaS Clouds for Graph Analytics....Pages 109-131
And All of a Sudden: Main Memory Is Less Expensive Than Disk....Pages 132-144
FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics....Pages 145-155
Back Matter....Pages 157-157

✦ Subjects

Database Management; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Information Systems Applications (incl. Internet)

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