The increasing demand on the main memory capacity is one of the main big data
challenges. Dynamic random access memory (DRAM) does not represent the best choice …

In a traditional big data network, data streams generated by User Equipments (UEs) are
uploaded to the remote cloud (for further processing) via the Internet. However, moving a …

This article presents a use-inspired perspective of the opportunities and challenges in a
massively digitized power grid. It argues that the intricate interplay of data availability …

The number of devices connected to the Internet is constantly growing. They are interacting
with each other and produce data that has to be processed. The increasing data volume …

Cities are becoming smarter because of recent advances in artificial intelligence and the
Internet of Things. However, heterogeneous data source in smart cities are continuously …

High-throughput experimental platforms like microarrays produce massive amounts of omics
data for each analyzed sample. As an example, the Affymetrix DMET (Drug Metabolizing …

In order to meet the rapid growth of educational data, to automate the processing of
educational data business, improve operational efficiency and scientific decision-making, a …

Based on big data, this paper studies the influence of new type of filling pneumonia on the
development of sports industry. When selecting the typical economic indicators that reflect …

With the improvement of the material standard of living, the demand of the people for
spiritual culture continues to increase. In terms of tourism, people have gradually shifted …

Mobile Edge Computing (MEC) is an innovative technique, which can provide cloud-
computing near mobile devices on the edge of networks. Based on the MEC architecture …