Octopus: A Zero-Cost Architecture for Stream Network Monitoring

Processing high-volume, high-velocity data streams is an important big data problem in many sciences, engineering, and technology domains. There are many open-source distributed stream processing and cloud platforms that offer low-latency stream ...

Traditional environmental model simulations often use archived data as inputs. Recent advancement of Sensor Web technologies in Spatial Data Infrastructures (SDIs) allows real-time observations to be fed into models to generate “live” ...

• A framework for coupling Sensor Web and models in a stream computing environment.

Data Stream Processing or stream computing is the new computing paradigm for processing a massive amount of streaming data in real-time without storing them in secondary storage. In this paper we propose an integrated execution platform for Data Stream ...