Due to the long-term goal of bringing about significant changes in the quality of services
supplied to smart city residents and urban environments and life, the development and …

One of the most important issues in distributed data stream processing systems is using
operator migration to handle highly variable workloads cost-efficiently and adapt to the …

The explosion of online streaming services in the Internet-of-Things (IoT) ecosystem poses
new difficulties in detecting anomalies in real-time and continuous data. The IoT data …

Nowadays, we have entered the golden age of economic development, and the Internet of
Things (IoT) has also ushered in the opportunity of development, and the rapid development …

Digital twin technology can be used in the internet of energy (IoE) systems to perform
physical objects optimization and decision-making by updating relevant models in real-time …

The edge-cloud-HPC continuum is transformative for AI processing at the edge. With greater
availability of both edge and cloud resources, AI inference, training, and optimization can be …

One of the key metrics of interest for stream processing applications is “latency”, which
indicates the total time it takes for the application to process and generate insights from …

Real-time data processing is a standard requirement in Fog Computing. Dynamically
adapting data stream processing frameworks is an essential functionality to handle time …

Abstract Objectives: To propose an IoT-based design in an edge computing environment for
short ranges and long ranges of real-time data streaming to the client. Methods: Multimedia …