Resource management in fog/edge computing: a survey on architectures, infrastructure, and algorithms
Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …
decentralized resources at the edge of a network for processing data closer to user devices …
Mobile edge computing: A survey on architecture and computation offloading
Technological evolution of mobile user equipment (TIEs), such as smartphones or laptops,
goes hand-in-hand with evolution of new mobile applications. However, running …
goes hand-in-hand with evolution of new mobile applications. However, running …
Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …
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 …
Follow me at the edge: Mobility-aware dynamic service placement for mobile edge computing
Mobile edge computing is a new computing paradigm, which pushes cloud computing
capabilities away from the centralized cloud to the network edge. However, with the sinking …
capabilities away from the centralized cloud to the network edge. However, with the sinking …
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 …
Joint service caching and task offloading for mobile edge computing in dense networks
Mobile Edge Computing (MEC) pushes computing functionalities away from the centralized
cloud to the network edge, thereby meeting the latency requirements of many emerging …
cloud to the network edge, thereby meeting the latency requirements of many emerging …
Service placement and request scheduling for data-intensive applications in edge clouds
Mobile edge computing provides the opportunity for wireless users to exploit the power of
cloud computing without a large communication delay. To serve data-intensive applications …
cloud computing without a large communication delay. To serve data-intensive applications …
A survey on service migration in mobile edge computing
Mobile edge computing (MEC) provides a promising approach to significantly reduce
network operational cost and improve quality of service (QoS) of mobile users by pushing …
network operational cost and improve quality of service (QoS) of mobile users by pushing …