Under the trend of economic globalization, intelligent manufacturing has attracted a lot of
attention from academic and industry. Related enabling technologies make manufacturing …

A significant rise in the adoption of streaming applications has changed the decision-making
processes in the last decade. This movement has led to the emergence of several Big Data …

The rapid growth of stream applications in financial markets, health care, education, social
media, and sensor networks represents a remarkable milestone for data processing and …

Three-way concept analysis (3WCA) is a framework based on Formal concept analysis and
three-way decisions is used in the field of knowledge discovery to solve uncertainties in …

An accurate and efficient intelligent fault diagnosis of mobile robotic roller bearings can
significantly enhance the reliability and safety of mechanical systems. To improve the …

For big data applications, it is important to allocate resources reasonably and schedule tasks
effectively. As one of the popular big data processing frameworks, the default scheduling …

Improper data replacement and inappropriate selection of job scheduling policy are
important reasons for the degradation of Spark system operation speed, which directly …

Spark is widely used for its fast in-memory processing. It is important to improve energy
efficiency under deadline constrains. In this paper, a Task Performance Clustering of Best …

The Join task between Spark large tables takes a long time to run and produces a lot of disk
I/O, network I/O and disk occupation in the Shuffle process. This paper proposes a …

Apache Spark is a widely used in-memory processing system due to its high performance.
For fast data processing, Spark manages in-memory data such as cached or shuffling …