Now we live in an era of big data, and big data applications are becoming more and more
pervasive. How to benchmark data center computer systems running big data applications …

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

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 …

Performance and scalability in clusters of heterogeneous and complex Big Data Analytic
environments are always unpredictable. In this paper, we are trying to address this problem …

As the amount of data explodes rapidly, more and more organizations tend to use data
centers to make effective decisions and gain a competitive edge. Big data applications have …

A big data benchmark suite is needed eagerly by customers, industry and academia
recently. A number of prominent works in last several years are reviewed, their …

It is challenging to get reliable performance benchmarking results. Benchmarking matters
because one of the defining characteristics of big data systems is the ability to process large …

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 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 …

Big Data is considered proprietary asset of companies, organizations, and even nations.
Turning big data into real treasure requires the support of big data systems. A variety of …