Computing aggregates over windows is at the core of virtually every stream processing job.
Typical stream processing applications involve overlap** windows and, therefore, cause …

Window aggregations and windowed joins are central operators of modern real-time
analytic workloads and significantly impact the performance of stream processing systems …

Window aggregation is a core operation in data stream processing. Existing aggregation
techniques focus on reducing latency, eliminating redundant computations, or minimizing …

In pursuit of real-time data analysis, approximate summarization structures, ie, synopses,
have gained importance over the years. However, existing stream processing systems, such …

Improving sustainability is a key concern for industrial development. Industry has recently
been benefiting from the rise of IoT technologies, leading to improvements in the monitoring …

Evaluating modern stream processing systems in a reproducible manner requires data
streams with different data distributions, data rates, and real-world characteristics such as …

Processing continuous data streams is one of the hot topics of our time. A major challenge is
the formulation of a suitable and efficient stream processing pipeline. This process is …

In recent years there has been a notable trend towards streaming data systems. The Internet
of Things has transformed the Internet into a massive collection of live data streams. These …

The rapid increase of connected devices causes more and more data to be generated and,
in some cases, this data needs to be analyzed as it is received. As such, the challenge of …