Internet of Things (IoT) related applications have emerged as an important field for both
engineers and researchers, reflecting the magnitude and impact of data-related problems to …

In the last two decades, the continuous increase of computational power has produced an
overwhelming flow of data. Moreover, the recent advances in Web technology has made it …

In this paper, we review the background and state-of-the-art of big data. We first introduce
the general background of big data and review related technologies, such as could …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

The world is witnessing an unprecedented growth of cyber-physical systems (CPS), which
are foreseen to revolutionize our world via creating new services and applications in a …

Support of high performance queries on large volumes of spatial data becomes increasingly
important in many application domains, including geospatial problems in numerous fields …

In pursuit of graph processing performance, the systems community has largely abandoned
general-purpose distributed dataflow frameworks in favor of specialized graph processing …

In this paper, we present BlinkDB, a massively parallel, approximate query engine for
running interactive SQL queries on large volumes of data. BlinkDB allows users to trade-off …

A prominent parallel data processing tool MapReduce is gaining significant momentum from
both industry and academia as the volume of data to analyze grows rapidly. While …

Currently, the integration of technologies such as the Internet of Things and big data seeks
to cover the needs of an increasingly demanding society that consumes more resources …