Data stream algorithms provide one-pass, memory-efficient techniques for processing continuous flows of network data. In network systems, these algorithms underpin tasks such as traffic monitoring, ...

Stream computing systems are critical platforms for real-time processing and analysis of data streams, widely applied in handling diverse workloads from Kubernetes, Apache Kafka, and web services.

CS, a cuckoo search-based algorithm with specialized indexing, deduplication, and discrete update strategies that mines high ...

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.

Stream processing is a data management technique that involves ingesting a continuous data stream to quickly analyze, filter, transform or enhance the data in real time. Once processed, the data is ...