Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

Complex Event Processing (CEP) and Data Stream Management represent pivotal fields at the intersection of computer science and information systems, enabling the real‐time detection, analysis, and ...

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...

Congratulations, you’ve set up an A/D converter or a smart sensor and the host processor is getting data from readings. That’s the first step. For some applications, getting one reading on demand ...