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Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
[HTML][HTML] All one needs to know about fog computing and related edge computing paradigms: A complete survey
Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …
we expect rapid growth in the number of connected devices. IoT is expected to connect …
UAV-assisted task offloading in vehicular edge computing networks
Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …
A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective
With the rapid developments in emerging mobile technologies, utilizing resource-hungry
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …
Joint task offloading and resource allocation in UAV-enabled mobile edge computing
Mobile edge computing (MEC) is an emerging technology to support resource-intensive yet
delay-sensitive applications using small cloud-computing platforms deployed at the mobile …
delay-sensitive applications using small cloud-computing platforms deployed at the mobile …
Adaptive federated learning in resource constrained edge computing systems
Emerging technologies and applications including Internet of Things, social networking, and
crowd-sourcing generate large amounts of data at the network edge. Machine learning …
crowd-sourcing generate large amounts of data at the network edge. Machine learning …
Delay-aware microservice coordination in mobile edge computing: A reinforcement learning approach
As an emerging service architecture, microservice enables decomposition of a monolithic
web service into a set of independent lightweight services which can be executed …
web service into a set of independent lightweight services which can be executed …
Task offloading for mobile edge computing in software defined ultra-dense network
With the development of recent innovative applications (eg, augment reality, self-driving, and
various cognitive applications), more and more computation-intensive and data-intensive …
various cognitive applications), more and more computation-intensive and data-intensive …
A survey on computation offloading modeling for edge computing
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …
storage facilities toward the edge of a network. This new computing paradigm opens up new …
When edge meets learning: Adaptive control for resource-constrained distributed machine learning
Emerging technologies and applications including Internet of Things (IoT), social
networking, and crowd-sourcing generate large amounts of data at the network edge …
networking, and crowd-sourcing generate large amounts of data at the network edge …