Recent advances in telecommunications and database systems have allowed the scientific
community to efficiently mine vast amounts of information worldwide and to extract new …

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 …

With the ever-increasing volume of data, alternative strategies are required to divide big data
into statistically consistent data blocks that can be used directly as representative samples of …

To boost the performance level of big data, data partitioning is considered to be as the
backbone of big data applications. In recent years, many researchers are focusing their work …

Internet of Things offers the infrastructure for smooth functioning of autonomous context-
aware devices being connected towards the Cloud. Edge Computing (EC) relies between …

Current advances in the Internet of Things (IoT) and Cloud involve the presence of an
additional layer between them acting as mediator for data transfer and processing in close …

Artificial Intelligence (AI) offers intellectual, customized and better decision-making
capabilities for humans in diverse areas of applications and use-cases. All of these …

In order to enable big data analysis when data volume goes beyond the available
computing resources, we propose a new method for big data analysis. This method uses …

The new era of the Internet of Things (IoT) provides the space where novel applications will
play a significant role in people's daily lives through the adoption of multiple services that …

Big data processing and analysis use shared-nothing computer clusters. Cluster computing
relies heavily on data segmentation and sampling to boost the speed and scalability of large …