Data stream processing (DSP) has emerged over the years as the reference paradigm for
the analysis of continuous and fast information flows, which often have to be processed with …

With the rapid development of deep learning technology, the modern Internet-of-Things (IoT)
cameras have very high demands on communication, computing, and memory resources so …

Edge computing and container technologies offer more possibilities for the development of
Internet of Vehicles (IOV). However, many studies have neglected the dependencies among …

Due to the features of lightweight and easy deployment, the use of containers has emerged
as a promising approach for Mobile Edge Computing (MEC). Before running the container …

Containers, originally designed for cloud environments, are increasingly popular for
provisioning workers outside the cloud, for example in mobile and edge computing. These …

Edge computing satisfies the stringent latency requirements of data access and processing
for applications running on edge devices. The data location service is a key function to …

It is common for storage systems designed to run on edge datacenters to avoid the high
latencies associated with geo-distribution by relying on eventually consistent models to …

This paper explores the CO2 footprint of IoT applications by using system dynamics
modeling to estimate the CO2 emissions over time from a wireless video analytics …

Edge computing has emerged in recent years to reduce latency, conserve bandwidth, and
enhance privacy for applications. As more edge computing applications are being deployed …

The hierarchical mobile edge computing satisfies the stringent latency requirements of data
access and processing for emerging edge applications. The data location service is a basic …