Paper Info
Title
Towards a Comprehensive Set of Big Data Benchmarks.
Abstract
This paper reviews the Ogre classification of Big Data application with 50 facets divided into four groups or views. These four correspond to Problem Architecture, Execution mode, Data source and style, and the Processing model used. We then look at multiple existing or proposed benchmark suites and analyze their coverage of the different facets suggesting a process to obtain a complete set. We illustrate this by looking at parallel data analytics benchmarked on multicore clusters.
Year
DOI
Venue
2014
10.3233/978-1-61499-583-8-47
BIG DATA AND HIGH PERFORMANCE COMPUTING
Keywords
Field
DocType
Big Data,Benchmarking,Analytics,Database
Data source,Cluster (physics),Architecture,Data analysis,Computer science,Parallel computing,Multi-core processor,Big data
Conference
Volume
ISSN
Citations 
26
0927-5452
3
PageRank 
References 
Authors
0.92
22
5
Name
Order
Citations
PageRank
Geoffrey Fox14070575.38
S. Jha27921539.19
Judy Qiu374343.25
Saliya Ekanayake4909.34
André Luckow58410.58