QoS-aware task offloading in distributed cloudlets with virtual network function services

M Jia, W Liang, Z Xu - Proceedings of the 20th ACM international …, 2017 - dl.acm.org
Pushing the cloud frontier to the network edge has attracted tremendous interest not only
from cloud operators of the IT service/software industry but also from network service …

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 …

Qos-aware cloudlet load balancing in wireless metropolitan area networks

M Jia, W Liang, Z Xu, M Huang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
With advances in wireless communication technology, more and more people depend
heavily on portable mobile devices for business, entertainments and social interactions. This …

QaMeC: A QoS-driven IoVs application optimizing deployment scheme in multimedia edge clouds

Z Wu, Z Lu, PCK Hung, SC Huang, Y Tong… - Future Generation …, 2019 - Elsevier
Deploying applications to a centralized cloud for service delivery is infeasible because of the
excessive latency and bandwidth limitation of the Internet, such as transporting all IoVs data …

[HTML][HTML] Joint placement and device association of UAV base stations in IoT networks

A Ahmed, M Awais, T Akram, S Kulac, M Alhussein… - Sensors, 2019 - mdpi.com
Drone base stations (DBSs) have received significant research interest in recent years. They
provide a flexible and cost-effective solution to improve the coverage, connectivity, quality of …

A dynamic deep-learning-based virtual edge node placement scheme for edge cloud systems in mobile environment

X Yuan, M Sun, W Lou - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
Edge node placement is a key topic to edge cloud systems for that it affects their service
performances significantly. Previous solutions based on the existing information are not …

Software defined cooperative offloading for mobile cloudlets

Y Cui, J Song, K Ren, M Li, Z Li, Q Ren… - … /ACM Transactions on …, 2017 - ieeexplore.ieee.org
Device to Device communication enables the deployment of mobile cloudlets in LTE-
advanced networks. The distributed nature of mobile users and dynamic task arrivals makes …

QoE aware IoT application placement in fog computing using modified-topsis

G Baranwal, R Yadav, DP Vidyarthi - Mobile Networks and Applications, 2020 - Springer
Over the years, fog computing has emerged as a paradigm to complement the cloud
computing in handling the delay sensitive IoT applications in a better manner. Using fog …

Low cost MEC server placement and association in 5G networks

S Lee, S Lee, MK Shin - 2019 International conference on …, 2019 - ieeexplore.ieee.org
With high demands for delay-sensitive services such as ultra low latency communication
(URLLC), newly developed 5G networks support mobile edge computing (MEC), in which …

An effective edge-intelligent service placement technology for 5G-and-beyond industrial IoT

T Wang, Y Zhang, NN Xiong, S Wan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the rapid development of wireless communication, traditional cloud computing cannot
fully support low-latency services, especially in sensor networks. Mobile edge computing …