Collaborative Mobile Edge Computing Through UPF Selection

Y Li, A Zhou, X Ma, S Wang - … Conference on Collaborative Computing …, 2022 - Springer
… As request dispatching does not affect the transmission … MiniEdgeCore activates a different
number of dormant UEs in … devices, these systems lack scalability. Evaluating large-scale …

Multi-agent DRL for joint completion delay and energy consumption with queuing theory in MEC-based IIoT

G Wu, Z Xu, H Zhang, S Shen, S Yu - … of Parallel and Distributed Computing, 2023 - Elsevier
… , transmission power control, and the delay mathematical model in multiuser mobile edge
computing to … Users are modeled as selfish game players, and a decentralized scheme is …

Edge computing in SDN-IoT networks: a systematic review of issues, challenges and solutions

SS Jazaeri, S Jabbehdari, P Asghari… - … Computing, 2021 - Springer
… SDN facilitates efficient and scalable internal operations … including cloudlets, fog computing,
and mobile edge computing, … - Cost management: Using proportional platforms to activate

Video caching and transcoding in wireless cellular networks with mobile edge computing: A robust approach

C Wang, D Feng, S Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… “Cloudlets activation scheme for scalable mobile edge computing with transmission power
control and … [3] TX Tran and D. Pompili, “Joint task offloading and resource allocation for multi-…

Resource provisioning in edge/fog computing: A comprehensive and systematic review

A Shakarami, H Shakarami, M Ghobaei-Arani… - Journal of Systems …, 2022 - Elsevier
activation in dynamic environments such as mobile edge … presented framework that includes
two cloudlets: shallow and deep, … [92] presented a fuzzy neural network-based auto-scaling

Privacy-aware offloading for training tasks of generative adversarial network in edge computing

X Xu, X Liu, X Yin, S Wang, Q Qi, L Qi - Information Sciences, 2020 - Elsevier
edge computing makes the training and inference of the GAN model perform efficiently, the
offloading of training tasks brings about the unbalanced load distribution and transmission

Blockchain meets edge computing: Stackelberg game and double auction based task offloading for mobile blockchain

S Guo, Y Dai, S Guo, X Qiu, F Qi - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… Compared to traditional edge computing, innovations of our work lie in that mobile
Cloudlets activation scheme for scalable mobile edge computing with transmission power control

Efficient auction mechanism for edge computing resource allocation in mobile blockchain

X Liu, J Wu, L Chen, C Xia - … on high performance computing …, 2019 - ieeexplore.ieee.org
… This section proposes an edge computing resource auction mechanism to solve the …
Cloudlets activation scheme for scalable mobile edge computing with transmission power control

Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
scalability as computation tasks increase. The combination of … 2 (1 + P1|h|2 ω0dϑ ), where
P1 is the transmission power of … cloudlet placement scheme for MEC, considering the cost of …

Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective

TK Rodrigues, K Suto, H Nishiyama… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
… Thus, MEC in this manuscript refers to Mobile Edge ComputingCloudlet (or edge cloud
server) is a physical computer that … how that solution is not scalable if the scenario has too many …