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 …

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

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 …

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) …

Lee et al (1997) initiated one of the first works in the related area, MediaBench, by
evaluating and synthesizing multimedia and communications systems. Abadi et al (2003) …

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 …