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 …

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 …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

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 …

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 “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 …

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 …

In recent years “big data” has become something of a buzzword in business, computer
science, information studies, information systems, statistics, and many other fields. As …

Recently, increasingly large amounts of data are generated from a variety of sources.
Existing data processing technologies are not suitable to cope with the huge amounts of …