The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …

In an edge-cloud cooperative computing network, the task offloading performance can be
further improved by the edge-cloud and edge-edge cooperation, in which the tasks can be …

Abstract The Function‐as‐a‐Service (FaaS) paradigm has a lot of potential as a computing
model for fog environments comprising both cloud and edge nodes, as compute requests …

Shared autonomous electric mobility has attracted significant interest in recent years due to
its potential to save energy consumption, enhance mobility accessibility, reduce air pollution …

Abstract In Internet of Things (IoT) data processing, cloud computing alone does not suffice
due to latency constraints, bandwidth limitations, and privacy concerns. By introducing …

E dge I ntelligence (EI), a burgeoning research area, motivates App vendors to cache data
replicas on geographically distributed edge servers to deliver better services. On the …

Microservice applications are made of many interacting microservices that can leverage
different cloud servers to distribute the computational load horizontally, so these applications …

Edge computing provides a platform facilitating edge servers to contribute to computation
offloading while economizing their resources. Traditional offloading solutions are mostly …

Mobile edge computing enables users to run resource-intensive applications at the network
edge equipped with small server clusters. The mobile services are heterogeneous and edge …

Integrating the advantages of both the edge and the cloud, the edge-cloud computing
system emerges to provide high-quality computing services for mobile users. To improve …