AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
Dynamic service placement in multi-access edge computing: A systematic literature review
The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …
autonomous driving, and healthcare has introduced infrastructure management challenges …
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 …
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 …
Dynamic task offloading and scheduling for low-latency IoT services in multi-access edge computing
HA Alameddine, S Sharafeddine… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has recently emerged as a novel paradigm to facilitate
access to advanced computing capabilities at the edge of the network, in close proximity to …
access to advanced computing capabilities at the edge of the network, in close proximity to …
Optimal edge user allocation in edge computing with variable sized vector bin packing
In mobile edge computing, edge servers are geographically distributed around base stations
placed near end-users to provide highly accessible and efficient computing capacities and …
placed near end-users to provide highly accessible and efficient computing capacities and …
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 …
Dynamic RAN slicing for service-oriented vehicular networks via constrained learning
In this paper, we investigate a radio access network (RAN) slicing problem for Internet of
vehicles (IoV) services with different quality of service (QoS) requirements, in which multiple …
vehicles (IoV) services with different quality of service (QoS) requirements, in which multiple …
Cooperative service caching and workload scheduling in mobile edge computing
Mobile edge computing is beneficial for reducing service response time and core network
traffic by pushing cloud functionalities to network edge. Equipped with storage and …
traffic by pushing cloud functionalities to network edge. Equipped with storage and …
It's hard to share: Joint service placement and request scheduling in edge clouds with sharable and non-sharable resources
Mobile edge computing is an emerging technology to offer resource-intensive yet delay-
sensitive applications from the edge of mobile networks, where a major challenge is to …
sensitive applications from the edge of mobile networks, where a major challenge is to …