Cloud computing is a modern paradigm to provide services through the Internet. Load
balancing is a key aspect of cloud computing and avoids the situation in which some nodes …

The vertex-centric programming model is an established computational paradigm recently
incorporated into distributed processing frameworks to address challenges in large-scale …

Computer clusters with the shared-nothing architecture are the major computing platforms
for big data processing and analysis. In cluster computing, data partitioning and sampling …

Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making
process, have recently attracted substantial interest from both academics and practitioners …

In recent times, the utility and privacy are trade‐off factors with the performance of one factor
tends to sacrifice the other. Therefore, the dataset cannot be published without privacy. It is …

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 …

Recent improvements in both the performance and scalability of shared-nothing,
transactional, in-memory NewSQL databases have reopened the research question of …

Hadoop is a framework for storing and processing huge volumes of data on clusters. It uses
Hadoop Distributed File System (HDFS) for storing data and uses MapReduce to process …

Distributed computing frameworks are the fundamental component of distributed computing
systems. They provide an essential way to support the efficient processing of big data on …

The purpose of this article is to highlight a main issue regarding reliable audit evidence
derived from Big Data—that of secure data provenance. Traditionally, audit evidence …