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

Big data benchmark suites must include a diversity of data and workloads to be useful in
fairly evaluating big data systems and architectures. However, using truly comprehensive …

Big data phenomenon refers to the practice of collection and processing of very large data
sets and associated systems and algorithms used to analyze these massive datasets …

With the fast advance of big data technology and analytics solutions, big data computing and
service is becoming a very hot research and application subject in academic research …

Big Data is characterized by the five V's-of Volume, Velocity, Variety, Veracity and Value.
Research on Big Data, that is, the practice of gaining insights from it, challenges the …

As data continues to be produced in massive amounts, with increasing volume, velocity and
variety, big data projects are growing in frequency and importance. However, the growth in …

Big Data analytics can revolutionize the healthcare industry. It can improve operational
efficiencies, help predict and plan responses to disease epidemics, improve the quality of …

Big Data analytics has recently gained increasing popularity as a tool to process large
amounts of data on-demand. Spark and Flink are two Apache-hosted data analytics …

With the prevalence of service computing and cloud computing, more and more services are
emerging on the Internet, generating huge volume of data, such as trace logs, QoS …

Big data refers to data volumes in the range of exabytes (1018) and beyond. Such volumes
exceed the capacity of current on-line storage systems and processing systems. Data …