Classification of optimization problems in fog computing

J Bellendorf, ZÁ Mann - Future Generation Computer Systems, 2020 - Elsevier
Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

Demand-driven deep reinforcement learning for scalable fog and service placement

H Sami, A Mourad, H Otrok… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The increasing number of Internet of Things (IoT) devices necessitates the need for a more
substantial fog computing infrastructure to support the users' demand for services. In this …

Joint edge server placement and service placement in mobile-edge computing

X Zhang, Z Li, C Lai, J Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
There have been many studies focusing on edge server deployment and service placement
in mobile-edge computing (MEC), respectively, but rare works took both of them into …

Joint DNN partition deployment and resource allocation for delay-sensitive deep learning inference in IoT

W He, S Guo, S Guo, X Qiu, F Qi - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Nowadays, the widely used Internet-of-Things (IoT) mobile devices (MDs) generate huge
volumes of data, which need analyzing and extracting accurate information in real time by …

An improved multi-objective genetic algorithm with heuristic initialization for service placement and load distribution in edge computing

AM Maia, Y Ghamri-Doudane, D Vieira, MF de Castro - Computer networks, 2021 - Elsevier
Edge Computing (EC) is a promising concept to overcome some obstacles of traditional
cloud data centers to support Internet of Things (IoT) applications, especially time-sensitive …

Adaptive and priority-based resource allocation for efficient resources utilization in mobile-edge computing

Z Sharif, LT Jung, I Razzak… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Edge computing (EC) offers cloud-like services at the edge of mobile networks to satisfy the
delay-sensitive and rapid computation applications in meeting the demands of rapidly …

Cost-effective edge server placement in wireless metropolitan area networks

F Zeng, Y Ren, X Deng, W Li - Sensors, 2018 - mdpi.com
Remote clouds are gradually unable to achieve ultra-low latency to meet the requirements of
mobile users because of the intolerable long distance between remote clouds and mobile …

Reliability-enhanced task offloading in mobile edge computing environments

J Liu, A Zhou, C Liu, T Zhang, L Qi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices have become an integral part of our lives and are
increasingly used in almost every field. Subsequently, there are a large number of latency …

Workload re-allocation for edge computing with server collaboration: A cooperative queueing game approach

C Yi, J Cai, T Zhang, K Zhu, B Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, a long-term workload management problem for multi-server edge computing
with server collaboration is studied. In the considered model, mobile users' computation …

UAV-Aided Low Latency Multi-Access<? brk?> Edge Computing

Y Yu, X Bu, K Yang, H Yang, X Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As an emerging technique, unmanned aerial vehicle (UAV) aided multi-access edge
computing (MEC) network has been improving the performance of the communication …