Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Big Data has emerged as a significant area of study for both practitioners and researchers.
Big Data is a term for massive data sets with large structure. In 2012, Big Data passed the …

Fog computing allows the implementation of information processes on the native net, mainly
because of its ability to process in real-time. On the other hand, the principles of Mist …

Earthquake magnitude prediction is a challenging problem that has been widely studied
during the last decades. Statistical, geophysical and machine learning approaches can be …

The advent of the digital age has led to a rise in different types of data with every passing
day. In fact, it is expected that half of the total data will be on the cloud by 2016. This data is …

This paper is an attempt to address merging or existing and emerging systems with
enterprise strategy in mind that optimizes operational productivity based on different …

Cloud computing can be considered as a disruptive technology that is making life easier for
Cloud users. Determining a focus of research in a specific subject area is sometimes …

The advent of the digital age has led to a rise in different types of data with every passing
day. In fact, it is expected that half of the total data will be on the cloud by 2016. This data is …

A large number of URLs collected by web crawlers correspond to pages with duplicate or
near-duplicate contents. To crawl, store, and use such duplicated data implies a waste of …

Multiple properties of big mobile data, namely volume, velocity, variety, and veracity make
the big data analytics process a challenging task. It is desired that mobile devices initially …