The need for scalable and efficient stream analysis has led to the development of many
open-source streaming data processing systems (SDPSs) with highly diverging capabilities …

While big data is becoming ubiquitous, interest in handling data stream at scale is also
gaining popularity, which leads to the sprout of many distributed stream computing systems …

Systems enabling the continuous processing of large data streams have recently attracted
the attention of the scientific community and industrial stakeholders. Data Stream Processing …

Streaming data processing has been gaining attention due to its application into a wide
range of scenarios. To serve the booming demands of streaming data processing, many …

Many Internet of Things (IoT) applications would benefit if streams of data could be analyzed
rapidly at the Edge, near the data source. However, existing Stream Processing Engines …

Apache Flink is an open source system for expressive, declarative, fast, and efficient data
analysis on both historical (batch) and real-time (streaming) data. Flink combines the …

Stream processing has been an active research field for more than 20 years, but it is now
witnessing its prime time due to recent successful efforts by the research community and …

Big data processing systems are evolving to be more stream oriented where each data
record is processed as it arrives by distributed and low-latency computational frameworks on …

The present paper gives an overview about the state of the art technology within the area of
data stream processing systems. Although the area of stream processing systems is not …

STREAMSCOPE (or STREAMS) is a reliable distributed stream computation engine that has
been deployed in shared 20,000-server production clusters at Microsoft. STREAMS provides …