A User-centric Kubernetes-based Architecture for Green Cloud Computing
Fuente:
arXiv
Saved in:
| Main Authors: | Zanotto, Matteo, Vicentini, Leonardo, Vreto, Redi, Lumpp, Francesco, Braga, Diego, Fiore, Sandro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Kubernetes in Action: Exploring the Performance of Kubernetes Distributions in the Cloud
by: Aqasizade, Hossein, et al.
Published: (2024)
by: Aqasizade, Hossein, et al.
Published: (2024)
Running Cloud-native Workloads on HPC with High-Performance Kubernetes
by: Chazapis, Antony, et al.
Published: (2024)
by: Chazapis, Antony, et al.
Published: (2024)
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
by: Mao, Ying, et al.
Published: (2020)
by: Mao, Ying, et al.
Published: (2020)
KubeDSM: A Kubernetes-based Dynamic Scheduling and Migration Framework for Cloud-Assisted Edge Clusters
by: Pashaeehir, Amirhossein, et al.
Published: (2025)
by: Pashaeehir, Amirhossein, et al.
Published: (2025)
Kubernetes in the Cloud vs. Bare Metal: A Comparative Study of Network Costs
by: Redoli, Rodrigo Mompo, et al.
Published: (2025)
by: Redoli, Rodrigo Mompo, et al.
Published: (2025)
Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection
by: Chen, Zihao, et al.
Published: (2025)
by: Chen, Zihao, et al.
Published: (2025)
Comparing Security and Efficiency of WebAssembly and Linux Containers in Kubernetes Cloud Computing
by: Wiegratz, Jasper Alexander
Published: (2024)
by: Wiegratz, Jasper Alexander
Published: (2024)
Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Performance and Resource Efficiency
by: Yakubov, Diyaz, et al.
Published: (2025)
by: Yakubov, Diyaz, et al.
Published: (2025)
A Kubernetes custom scheduler based on reinforcement learning for compute-intensive pods
by: Zhou, Hanlin, et al.
Published: (2026)
by: Zhou, Hanlin, et al.
Published: (2026)
Hybrid Cloud Architectures for Research Computing: Applications and Use Cases
by: Stiensmeier, Xaver, et al.
Published: (2026)
by: Stiensmeier, Xaver, et al.
Published: (2026)
A Contention-Free Model for Converged Kubernetes on HPC
by: Sochat, Vanessa, et al.
Published: (2024)
by: Sochat, Vanessa, et al.
Published: (2024)
Adaptive Resource Allocation for Workflow Containerization on Kubernetes
by: Shan, Chenggang, et al.
Published: (2023)
by: Shan, Chenggang, et al.
Published: (2023)
Signalling Health for Improved Kubernetes Microservice Availability
by: Roberts, Jacob, et al.
Published: (2025)
by: Roberts, Jacob, et al.
Published: (2025)
Enhancing Kubernetes Resilience through Anomaly Detection and Prediction
by: Anemogiannis, V., et al.
Published: (2025)
by: Anemogiannis, V., et al.
Published: (2025)
QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
by: Aslan, Haci Ismail, et al.
Published: (2025)
by: Aslan, Haci Ismail, et al.
Published: (2025)
A GPU-accelerated Molecular Docking Workflow with Kubernetes and Apache Airflow
by: Medeiros, Daniel, et al.
Published: (2024)
by: Medeiros, Daniel, et al.
Published: (2024)
Empowering the Quantum Cloud User with QRIO
by: Chakraborty, Shmeelok, et al.
Published: (2024)
by: Chakraborty, Shmeelok, et al.
Published: (2024)
The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster
by: Weitzel, Derek, et al.
Published: (2025)
by: Weitzel, Derek, et al.
Published: (2025)
KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling
by: Zhang, Guilin, et al.
Published: (2025)
by: Zhang, Guilin, et al.
Published: (2025)
Predictive Autoscaling for Node.js on Kubernetes: Lower Latency, Right-Sized Capacity
by: Tymoshenko, Ivan, et al.
Published: (2026)
by: Tymoshenko, Ivan, et al.
Published: (2026)
Container late-binding in unprivileged dHTC pilot systems on Kubernetes resources
by: Sfiligoi, Igor, et al.
Published: (2025)
by: Sfiligoi, Igor, et al.
Published: (2025)
Mutiny! How does Kubernetes fail, and what can we do about it?
by: Barletta, Marco, et al.
Published: (2024)
by: Barletta, Marco, et al.
Published: (2024)
AAPA: An Archetype-Aware Predictive Autoscaler with Uncertainty Quantification for Serverless Workloads on Kubernetes
by: Zhang, Guilin, et al.
Published: (2025)
by: Zhang, Guilin, et al.
Published: (2025)
Priority Matters: Optimising Kubernetes Clusters Usage with Constraint-Based Pod Packing
by: Christensen, Henrik Daniel, et al.
Published: (2025)
by: Christensen, Henrik Daniel, et al.
Published: (2025)
Cloud Revolution: Tracing the Origins and Rise of Cloud Computing
by: Gurung, Deepa, et al.
Published: (2025)
by: Gurung, Deepa, et al.
Published: (2025)
KubeIntellect: A Modular LLM-Orchestrated Agent Framework for End-to-End Kubernetes Management
by: Ardebili, Mohsen Seyedkazemi, et al.
Published: (2025)
by: Ardebili, Mohsen Seyedkazemi, et al.
Published: (2025)
Spider: A BFT Architecture for Geo-Replicated Cloud Services
by: Eischer, Michael, et al.
Published: (2024)
by: Eischer, Michael, et al.
Published: (2024)
Provenance Tracking in Large-Scale Machine Learning Systems
by: Padovani, Gabriele, et al.
Published: (2025)
by: Padovani, Gabriele, et al.
Published: (2025)
yProv4ML: Effortless Provenance Tracking for Machine Learning Systems
by: Padovani, Gabriele, et al.
Published: (2025)
by: Padovani, Gabriele, et al.
Published: (2025)
HPCAdvisor: A Tool for Assisting Users in Selecting HPC Resources in the Cloud
by: Netto, Marco A. S.
Published: (2024)
by: Netto, Marco A. S.
Published: (2024)
Green by Design: Constraint-Based Adaptive Deployment in the Cloud Continuum
by: D'Iapico, Andrea, et al.
Published: (2026)
by: D'Iapico, Andrea, et al.
Published: (2026)
FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture
by: Sobati-M, Somayeh
Published: (2025)
by: Sobati-M, Somayeh
Published: (2025)
Kubernetes Deployment Options for On-Prem Clusters
by: Bryant, Lincoln, et al.
Published: (2024)
by: Bryant, Lincoln, et al.
Published: (2024)
KubePACS: Kubernetes Cluster Using Performant, Highly Available, and Cost Efficient Spot Instances
by: Kim, Taeyoon, et al.
Published: (2026)
by: Kim, Taeyoon, et al.
Published: (2026)
NL-CPS: Reinforcement Learning-Based Kubernetes Control Plane Placement in Multi-Region Clusters
by: Alam, Sajid, et al.
Published: (2026)
by: Alam, Sajid, et al.
Published: (2026)
Autonomic Cloud Computing: Research Perspective
by: Gill, Sukhpal Singh
Published: (2015)
by: Gill, Sukhpal Singh
Published: (2015)
The Jevons Paradox In Cloud Computing: A Thermodynamics Perspective
by: Sharma, Prateek
Published: (2024)
by: Sharma, Prateek
Published: (2024)
Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
by: Zhou, Guangyao, et al.
Published: (2021)
by: Zhou, Guangyao, et al.
Published: (2021)
PHWSOA: A Pareto-based Hybrid Whale-Seagull Scheduling for Multi-Objective Tasks in Cloud Computing
by: Zhao, Zhi, et al.
Published: (2025)
by: Zhao, Zhi, et al.
Published: (2025)
Code once, Run Green: Automated Green Code Translation in Serverless Computing
by: Werner, Sebastian, et al.
Published: (2025)
by: Werner, Sebastian, et al.
Published: (2025)
Similar Items
-
Kubernetes in Action: Exploring the Performance of Kubernetes Distributions in the Cloud
by: Aqasizade, Hossein, et al.
Published: (2024) -
Running Cloud-native Workloads on HPC with High-Performance Kubernetes
by: Chazapis, Antony, et al.
Published: (2024) -
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
by: Mao, Ying, et al.
Published: (2020) -
KubeDSM: A Kubernetes-based Dynamic Scheduling and Migration Framework for Cloud-Assisted Edge Clusters
by: Pashaeehir, Amirhossein, et al.
Published: (2025) -
Kubernetes in the Cloud vs. Bare Metal: A Comparative Study of Network Costs
by: Redoli, Rodrigo Mompo, et al.
Published: (2025)