Application management in fog computing environments: A taxonomy, review and future directions

R Mahmud, K Ramamohanarao, R Buyya - ACM Computing Surveys …, 2020 - dl.acm.org
The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart
environments in various domains. The IoT-enabled cyber-physical systems associated with …

Dynamic service placement in multi-access edge computing: A systematic literature review

HT Malazi, SR Chaudhry, A Kazmi, A Palade… - IEEE …, 2022 - ieeexplore.ieee.org
The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …

CoScal: Multifaceted scaling of microservices with reinforcement learning

M Xu, C Song, S Ilager, SS Gill, J Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The emerging trend towards moving from monolithic applications to microservices has
raised new performance challenges in cloud computing environments. Compared with …

Towards cost-effective and robust AI microservice deployment in edge computing environments

C Wu, Q Peng, Y **a, Y **, Z Hu - Future Generation Computer Systems, 2023 - Elsevier
As a newly emerged promising computing paradigm, Multi-access Edge Computing (MEC)
is capable of energizing massive Internet-of-Things (IoT) devices around us and novel …

Adaptation in edge computing: a review on design principles and research challenges

F Golpayegani, N Chen, N Afraz, E Gyamfi… - ACM Transactions on …, 2024 - dl.acm.org
Edge computing places the computational services and resources closer to the user
proximity, to reduce latency, and ensure the quality of service and experience. Low latency …

Joint coverage-reliability for budgeted edge application deployment in mobile edge computing environment

L Zhao, B Li, W Tan, G Cui, Q He, X Xu… - … on Parallel and …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC), as an emerging technology, allows application vendors to
deploy application instances on edge servers to deliver low-latency services to nearby end …

Programming framework and infrastructure for self-adaptation and optimized evolution method for microservice systems in cloud–edge environments

X He, Z Tu, X Xu, Z Wang - Future Generation Computer Systems, 2021 - Elsevier
Edge computing technologies facilitate the deployment of services on nearby edge servers
with a large number of end users and their mobile devices to fulfill personalized demands …

Drpc: Distributed reinforcement learning approach for scalable resource provisioning in container-based clusters

H Bai, M Xu, K Ye, R Buyya, C Xu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Microservices have transformed monolithic applications into lightweight, self-contained, and
isolated application components, establishing themselves as a dominant paradigm for …

Managing latency in edge–cloud environment

L Bulej, T Bureš, A Filandr, P Hnětynka… - Journal of systems and …, 2021 - Elsevier
Abstract Modern Cyber–physical Systems (CPS) include applications like smart traffic, smart
agriculture, smart power grid, etc. Commonly, these systems are distributed and composed …