… , have been developed for processing unbounded data streams in a scalable and … edge
computing for data stream processing. This paper surveys state of the art on stream processing …

… We evaluate Amnis using a set of stream processing applications in an edge computing …
stream processing applications and compare its performance with the state-of-the-art. …

… offloading algorithms for IoT stream processing. Our goal is to study the challenges of
processing an IoT data stream in an Edge computing layer by using real life data stream sets and a …

… Many edge devices are … stream processing applications using Cloud and edge resources
where certain tasks are performed at the edge for reducing the end-toend latency of processing …

… data management and processing. This paper aims to bridge this gap by defining Clustered
Edge Computing – a new approach to enable rapid data processing at the very edge of the …

… edge stream processing approach with a traditional approach in which the stream processing
… To perform these experiments we deployed two streaming frameworks (based on Apache …

… streams of data, often processed by data stream processing frameworks deployed in the cloud.
Edge computing enables offloading processing from … the time to process data events and …

… the throughput between Edge and Cloud for CCTV when the stream processing is performed
partially at the Edge and on the … In our experiments, we observe that Edge computing helps …

… In contrast, edge computing has become an attractive solution for performing certain
stream processing operations, as many edge devices have non-negligible compute capacity. …

… of operators to process each element in the stream. Such … new stream processing model,
Edge-Stream, for edge computing … of edge-computing framework based on Edge-Stream model …