Internet-of-things and big data are important technical means to enhance human resilience
to natural hazards in Earth Science. Continuous geospatial data streams generated from in …

The number of Internet-of-Things (IoT) devices is rapidly increasing with the growth of IoT
applications in various domains. As IoT applications have a strong demand for low latency …

High data rate sensors such as video cameras, audio sensors, and motion sensors are
becoming ubiquitous in the Internet of Things (IoT). In large scale IoT systems like smart …

A key challenge for smart city analytics is fast extraction, accumulation and processing of
sensor data collected from a large number of IoT devices. Edge computing has enabled …

The arising Internet of Things (IoT) will require significant changes to current stream
processing engines (SPEs) to enable large-scale IoT applications. In this paper, we present …

The Internet of Things describes a network of physical devices interacting and producing
vast streams of sensor data. At present there are a number of general challenges which exist …

The deployment of Data Stream Processing (DSP) frameworks in geo-distributed computing
infrastructures can bridge the gap between Cloud and edge devices and reduce data …

The proliferation of Internet-of-Things (IoT) devices is rapidly increasing the demands for
efficient processing of low latency stream data generated close to the edge of the network …

The industrial IoT and its promise to realize data-driven decision-making by analyzing
industrial event streams is an important innovation driver in the industrial sector. Due to an …

The fast development of Internet of Things (IoT) computing and technologies has prompted a
decentralization of Cloud-based systems. Indeed, sending all the information from IoT …