Event processing (EP) is a data processing technology that conducts online processing of
event information. In this survey, we summarize the latest cutting-edge work done on EP …

Several software systems are built upon stream processing architectures to process large
amounts of data in near real-time. Today's distributed stream processing systems (DSPSs) …

Reducing the energy consumption of the global IT industry requires one to understand and
optimize the large software infrastructures the modern data economy relies on. Among them …

Cloud-fog based industries are entailing today greedy energy costs, given the wide
multiplication of their AI models and distributed BD frameworks implementations. This paper …

This book summarizes Chinese banks' achievements in global markets and examines the
differences between Chinese and foreign banks. It also explores the future roadmap of …

Nowadays, heterogeneous unified memory architecture platforms are becoming
increasingly common. These platforms incorporate several co-processors on a single chip …

The growth of the information society in the last decade has led to the continuous generation
of huge data sets, which is becoming a challenge for data consumers to handle efficiently …

Recent Edge applications (eg, machine learning inference) are becoming more
sophisticated and computationally demanding. To meet their Quality of Service (QoS) …

Stream processing is becoming more and more used in the field of Big Data analysis. The
need to analyze unbounded data and data that needs to be processed in real-time has …

This paper studies the data preprocessing technology in chemical process data mining. It
mainly studies the real-time chemical process data in-depth from the perspective of software …