Edge computing is an emerging technology that aims to include latency-sensitive and data-
intensive applications such as mobile or IoT services, into the cloud ecosystem by placing …

This paper investigates the task management for cooperative mobile edge computing
(MEC), where a set of geographically distributed heterogeneous edge nodes not only …

This paper presents an analysis of the scalability and performance of an edge cloud system
designed to support latency-sensitive applications. A system model for geographically …

Edges enable cloud services to be provided at low-latency and efficiently reduce the amount
of transferred data by placing latency-critical tasks close to users. However, multi-tasking …

Edge computing has become a promising computing paradigm for building IoT (Internet of
Things) applications, particularly for applications with specific constraints such as latency or …

Different placement or collaboration policies in handling datasets and workloads across
cloud, edge, and user-end may substantially affect a cloud-edge computing environment's …

Under the paradigm of Edge Computing, the enormous data generated at the network edge
can be processed locally. Machine learning methods are often adopted to make full …

KubeEdge is an open-source platform that orchestrates containerized Internet of Things
(IoT) application services in IoT edge computing environments. Based on Kubernetes, it …

Edge Computing is a new computing paradigm that performs data processing at the edge of
the network (ie, edge servers) to lower data processing latency. Existing research works …

Edge Computing is emerging as a promising solution to meet the ultra-low latency
requirement of data processing at the edge of the Internet, and it is close to end users and …