A survey of Kubernetes scheduling algorithms

K Senjab, S Abbas, N Ahmed, AR Khan - Journal of Cloud Computing, 2023 - Springer
As cloud services expand, the need to improve the performance of data center infrastructure
becomes more important. High-performance computing, advanced networking solutions …

Performance evaluation of container orchestration tools in edge computing environments

I Čilić, P Krivić, I Podnar Žarko, M Kušek - Sensors, 2023 - mdpi.com
Edge computing is a viable approach to improve service delivery and performance
parameters by extending the cloud with resources placed closer to a given service …

Elastic Federated Learning with Kubernetes Vertical Pod Autoscaler for edge computing

KQ Pham, T Kim - Future Generation Computer Systems, 2024 - Elsevier
Federated Learning (FL) is an emerging paradigm for training machine learning models
across decentralized edge devices, ensuring data privacy and reducing computational tasks …

An edge intelligence-based model deployment method for CNC systems

Z Zhou, D Yu, M Chen, Y Qiao, Y Hu, W He - Journal of Manufacturing …, 2024 - Elsevier
Intelligent manufacturing has garnered widespread attention due to its potential to enhance
production efficiency and product quality. However, effective resource management remains …

Dynamic task offloading for resource allocation and privacy-preserving framework in Kubeedge-based edge computing using machine learning

S Lingayya, SB Jodumutt, SR Pawar, A Vylala… - Cluster …, 2024 - Springer
KubeEdge is an open-source system extending native containerized application
orchestration and device management to hosts at the edge. One of the main disadvantages …

An Automated Edge Computing Approach for IoT Device Registration and Application Deployment

V Mafeni, Y Kim - IEEE Systems Journal, 2024 - ieeexplore.ieee.org
As the Internet of Things (IoT) evolves rapidly across various industries, the number of IoT
protocols and applications is growing with vast number of heterogeneous components and …

Enhancing the performance of mobile networks using kubernetes: Load balancing traffic by utilizing workload estimation

L Laukka, C Fransson - 2023 - diva-portal.org
As global mobile network usage increases rapidly and users demand lower latency, the
importance of stable 5G networks is more critical than ever. One way to orchestrate mobile …

Load Balancing Traffic Among Kubernetes Replicas by Utilizing Workload Estimation

L Laukka, C Fransson, N Pappas - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
As global mobile network usage increases rapidly and users demand lower latency, the
importance of stable 5G networks is more critical than ever. Orchestrating mobile network …

Kubernetes and Docker Load Balancing: State-of-the-Art Techniques and Challenges

I Vasireddy, G Ramya, P Kandi - International Journal of …, 2023 - acspublisher.com
In the ever-evolving landscape of container orchestration, Kubernetes stands out as a
leading platform, empowering organizations to deploy, scale, and manage containerized …

[PDF][PDF] DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System.

A Kallel, M Rekik, M Khemakhem - ICAART (2), 2024 - scitepress.org
The IoT-based applications have a set of complex requirements, such as a reliable network
connection and handling data from multiple sources quickly and accurately. Therefore …