Purpose Big data is increasingly becoming a major organizational enterprise force to reckon
with in this global era for all sizes of industries. It is a trending new enterprise system or …

Information flow policies are confidentiality policies that control information leakage through
program execution. A common way to enforce secure information flow is through information …

Coronary artery disease (CAD) is one of the main causes of cardiac death around the world.
Due to its significant impact on the society, early and accurate detection of CAD is essential …

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 …

The authors extend the dynamic time warping (DTW) algorithm, widely used in automatic
speech recognition (ASR), to a dynamic plane warping (DPW) algorithm, for application in …

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 …

Recently, big data has been evolved into a buzzword from academia to industry all over the
world. Benchmarks are important tools for evaluating an IT system. However, benchmarking …

Big data analytics workloads are very significant ones in modern data centers, and it is more
and more important to characterize their representative workloads and understand their …

Several Job scheduling algorithms have been developed for Hadoop-MapReduce model,
which vary widely in design and behavior for handling different issues such as locality of …

The great prosperity of big data systems such as Hadoop in recent years makes the
benchmarking of these systems become crucial for both research and industry communities …