Edge computing brings down storage, computation, and communication services from the
cloud server to the network edge, resulting in low latency and high availability. The Internet …

Abstract The Urban Internet of Things (IoT) supports city-scale data collection and
processing. It's practical deployment poses several technical and technological challenges …

In the emerging area of the Internet of Things (IoT), the exponential growth of the number of
smart devices leads to a growing need for efficient data storage mechanisms. Cloud …

Edge microservice applications are becoming a viable solution for the execution of real-time
IoT analytics, due to their rapid response and reduced latency. With Edge Computing, unlike …

Examines the new challenges posed by human-driven edge computing. The massive
proliferation of personal computing devices is opening new human-centered designs that …

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 …

Cloud computing and the Internet of Things (IoT) are distinct technologies that significantly
affect our everyday lives. IoT is made up of small real-world things, with limited processing …

Many IoT applications found in cyber-physical systems, such as smart grids, must take
control actions in response to critical events, such as supply-demand mismatch, which …

By moving data computation and service supply from the cloud to the edge, edge computing
has become a promising solution to address the limitations of cloud computing in supporting …

Edge Computing (EC) emerges as an alternative to process the large volume of data
generated by devices connected to the Internet, through the Internet of Things (IoT). This …