Edge computing is a (r) evolutionary extension of traditional cloud computing. It expands
central cloud infrastructure with execution environments close to the users in terms of …

Smart cities represent an archetypal example of infrastructures where the fog computing
paradigm can express its potential: we have a large set of sensors deployed over a large …

In enterprise management systems (EMS), augmented Intelligence of Things (AIoT) devices
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …

Real-time analytics on video data demands intensive computation resources and high
energy consumption. Traditional cloud-based video analytics relies on large centralized …

As mobile devices continuously generate streams of images and videos, a new class of
mobile deep vision applications are rapidly emerging, which usually involve running deep …

Mez is a novel publish-subscribe messaging system for latency sensitive multi-camera
machine vision applications at the IoT Edge. The unlicensed wireless communication in IoT …

With the evolution of 5G and Internet of Things technologies, Mobile Edge Computing (MEC)
has emerged as a major computing paradigm. Compared to cloud computing, MEC …

The long-held dream of computing as a service was realized with the emergence of cloud
computing. Recently, fog and edge computing have been introduced as extensions of cloud …

Edge computing has been widely applied in video streaming systems, aiming to provide low-
latency video streaming services. However, limited resources and a lack of incentivization …

Latency-aware service placement is promising in reducing the overall service response
latency of proliferating edge-cloud collaborative smart manufacturing systems. However …