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 …
Edge intelligence: The confluence of edge computing and artificial intelligence
Along with the rapid developments in communication technologies and the surge in the use
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …
Distributed redundant placement for microservice-based applications at the edge
Multi-access edge computing (MEC) is booming as a promising paradigm to push the
computation and communication resources from cloud to the network edge to provide …
computation and communication resources from cloud to the network edge to provide …
IoT microservice deployment in edge-cloud hybrid environment using reinforcement learning
The edge-cloud hybrid environment requires complex deployment strategies to enable the
smart Internet-of-Things (IoT) system. However, current service deployment strategies use …
smart Internet-of-Things (IoT) system. However, current service deployment strategies use …
Dynamic energy-saving offloading strategy guided by Lyapunov optimization for IoT devices
In the Internet of Everything era, various Internet of Things (IoT) devices have become
popular, and the number of computing-intensive applications has increased substantially. As …
popular, and the number of computing-intensive applications has increased substantially. As …
Adaptive service function chaining mappings in 5G using deep Q-learning
Abstract With introduction of Software-Defined Networking (SDN) and Network Functions
Virtualization (NFV) technologies, mobile network operators are able to provide on-demand …
Virtualization (NFV) technologies, mobile network operators are able to provide on-demand …
Cooperative resource allocation for computation-intensive IIoT applications in aerial computing
Unmanned aerial vehicles (UAVs) will be a vital part of the massive Industrial Internet of
Things (IIoT) in the 5G and 6G paradigms. The UAVs are required to collaborate with each …
Things (IIoT) in the 5G and 6G paradigms. The UAVs are required to collaborate with each …
An adaptive mechanism for dynamically collaborative computing power and task scheduling in edge environment
Edge computing can provide high bandwidth and low-latency service for big data tasks by
leveraging the edge side's computing, storage, and network resources. With the …
leveraging the edge side's computing, storage, and network resources. With the …
Optimized task allocation for IoT application in mobile-edge computing
J Liu, C Liu, B Wang, G Gao… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid upgrading and explosive growth of Internet of Things (IoT) devices in mobile-
edge computing, more and more IoT applications with high resource requirements are …
edge computing, more and more IoT applications with high resource requirements are …
Reinforcement learning for cost-effective IoT service caching at the edge
In the edge computing environment, Internet of Things (IoT) application service providers
can rent resources from edge servers to cache their service items such as datasets and code …
can rent resources from edge servers to cache their service items such as datasets and code …