With the fast development of big data systems in recent years, a variety of open-source
benchmarks have been built to evaluate and compare the workloads on these systems, and …

Abstract The field of Big Data and related technologies is rapidly evolving. Consequently,
many benchmarks are emerging, driven by academia and industry alike. As these …

Big data systems address the challenges of capturing, storing, managing, analyzing, and
visualizing big data. Within this context, developing benchmarks to evaluate and compare …

With the enormous growth on the availability and usage of Big Data storage and processing
systems, it has become essential to assess the various performance aspects of these …

Abstract “Big data” has become a major force of innovation across enterprises of all sizes.
New platforms with increasingly more features for managing big datasets are being …

Enterprises perceive a huge opportunity in mining information that can be found in big data.
New storage systems and processing paradigms are allowing for ever larger data sets to be …

Abstract The Workshop on Big Data Benchmarking (WBDB2012), held on May 8-9, 2012 in
San Jose, CA, served as an incubator for several promising approaches to define a big data …

Data generation is a key issue in big data benchmarking that aims to generate application-
specific data sets to meet the 4 V requirements of big data. Specifically, big data generators …

As architecture, systems, and data management communities pay greater attention to
innovative big data systems and architecture, the pressure of benchmarking and evaluating …

Data is key resource in the modern world. Big data has become a popular term which is
used to describe the exponential growth and availability of data. In practice, the growing …