Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …

The integration of Mobile Edge Computing (MEC) and microservice architecture drives the
implementation of the sustainable Internet of Vehicles (IoV). The microservice architecture …

Mobile edge computing (MEC), as an emerging technology, allows application vendors to
deploy application instances on edge servers to deliver low-latency services to nearby end …

Supported by cloud computing, Federated Learning (FL) has experienced rapid
advancement, as a promising technique to motivate clients to collaboratively train models …

Fog and Edge computing extend cloud services to the proximity of end users, allowing many
Internet of Things (IoT) use cases, particularly latency-critical applications. Smart devices …

Edge servers can cache some delay-sensitive and resource-intensive applications to reduce
the delay of user tasks. However, due to the limited resources of edge servers, they cannot …

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

Edge computing (EC), as an emerging technology, allows app vendors to deliver low-
latency services by allocating users to edge servers nearby. Unfortunately, these …

Mobile edge computing (MEC) is expected to support real-time services at wireless
networks, where task replication is applied to guarantee job completion within a strict …

Edge intelligence, an emerging distributed paradigm, is driven by the increasing number of
Internet of Things devices and the development of edge computing and artificial intelligence …