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

We are currently living in the age of Big Data coming along with the challenge to grasp the
golden opportunities at hand. This mixed blessing also dominates the relation between Big …

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 …

Obtaining the right set of data for evaluating the fulfillment of different quality standards in the
extract-transform-load (ETL) process design is rather challenging. First, the real data might …

Over the past few years, cloud file systems such as Google File System (GFS) and Hadoop
Distributed File System (HDFS) have received a lot of research efforts to optimize their …

Fake file systems are used in the field of cyber deception to bait intruders and fool forensic
investigators. File system researchers also frequently generate their own synthetic document …

This document presents the handbook of BigDataBench (Version 3.1). BigDataBench is an
open-source big data benchmark suite, publicly available from http://prof. ict. ac …

As energy has become one of the key operating costs in running a data center and power
waste commonly exists, it is essential to reduce energy inefficiency inside data centers. In …