AI-based fog and edge computing: A systematic review, taxonomy and future directions

S Iftikhar, SS Gill, C Song, M Xu, MS Aslanpour… - Internet of Things, 2023 - Elsevier
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

Machine learning-based orchestration of containers: A taxonomy and future directions

Z Zhong, M Xu, MA Rodriguez, C Xu… - ACM Computing Surveys …, 2022 - dl.acm.org
Containerization is a lightweight application virtualization technology, providing high
environmental consistency, operating system distribution portability, and resource isolation …

A review on quality of experience (QoE) in cloud computing

AA Laghari, X Zhang, ZA Shaikh, A Khan… - Journal of Reliable …, 2024 - Springer
The services are delivered to the user through a protocol interface of different resources.
Service delivery conferring on quality of service (QoS) mentioned in service level agreement …

A survey of next-generation computing technologies in space-air-ground integrated networks

Z Shen, J Jin, C Tan, A Tagami, S Wang, Q Li… - ACM Computing …, 2023 - dl.acm.org
Space-air-ground integrated networks (SAGINs) are key elements for facilitating high-speed
seamless connectivity to the devices/users in infrastructure-less environments, where the …

[HTML][HTML] Optimizing cloud service provider selection with firefly-guided fuzzy decision support system for smart cities

S Dalal, A Kumar, UK Lilhore, N Dahiya, V Jaglan… - Measurement …, 2024 - Elsevier
Businesses that want to benefit from cloud computing must choose a Cloud Service Provider
(CSP). Cost, performance, Reliability, security, and SLAs must be evaluated during the …

Topology-Aware Self-Adaptive Resource Provisioning for Microservices

H Zeng, T Wang, A Li, Y Wu, H Wu… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Microservice architecture is a popular technology for deploying services in cloud computing,
with benefits like loose coupling, high fault tolerance, and scalability. The heterogeneous …

Performance benchmarking of deep learning framework on Intel Xeon Phi

CT Yang, JC Liu, YW Chan, E Kristiani… - The Journal of …, 2021 - Springer
With the success of deep learning (DL) methods in diverse application domains, several
deep learning software frameworks have been proposed to facilitate the usage of these …

XAI-Enabled Fine Granular Vertical Resources Autoscaler

M Mekki, B Brik, A Ksentini… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
Fine-granular management of cloud-native computing resources is one of the key features
sought by cloud and edge operators. It consists in giving the exact amount of computing …

[PDF][PDF] Novel Machine Learning Methodology In Resource Provisioning For Forecasting Of Workload In Distributed Cloud Environment

C Dastagiraiah, VK Reddy - Journal Of Theoretical and Applied Information …, 2022 - jatit.org
These days, countless cloud administrations contain distributed in addition to facilitated via
geoappropriated cloud server farms (Geo-2DCs). Despite various advantages, those Geo …

Artificial Intelligence based Resource Management in Fog Computing

S Iftikhar - 2024 - qmro.qmul.ac.uk
Recent advancements in Artificial Intelligence (AI) and the Internet of Things (IoT) are
ushering in a transformative era, significantly elevating the quality of human life across …