Big data benchmarking

Authors:
Chaitan Baru;Milind Bhandarkar;Raghunath Nambiar;Meikel Poess;Tilmann Rabl
Affiliations:
University of California, San Diego, San Diego, USA;Greenplum, Greenplum, USA;Cisco Systems, Inc., San Francisco, USA;Oracle Corporation, San Francisco, USA;University of Toronto, Toronto, Canada
Venue:
Proceedings of the 2012 workshop on Management of big data systems
Year:
2012

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Abstract

We provide a summary of the outcomes from the Workshop on Big Data Benchmarking (WBDB2012) held on May 8-9, 2012 in San Jose, CA. The workshop discussed a number of issues related to big data benchmarking definitions and benchmark processes, and was attended by 60 invitees representing 45 different organizations from industry and academia. Attendees were selected based on their experience and expertise in one or more areas of big data, database systems, performance benchmarking, and big data applications. The participants concluded that there exists both a need and an opportunity for defining benchmarks to capture the end-to-end aspects of big data applications. The metrics for such benchmarks would need to include metrics for performance as well as price/performance, and consider several costs including total system cost, setup cost, and energy costs. The next Workshop on Big Data Benchmarking is scheduled to be held on December 17-18, 2012 in Pune, India.