:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Hanlin, Chan, Huah Yong, Zhang, Shun Yao, Lin, Meie, Ni, Jingfei
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	https://arxiv.org/abs/2601.13579
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automatic Adjustment of HPA Parameters and Attack Prevention in Kubernetes Using Random Forests
by: Zhou, Hanlin, et al.
Published: (2026)

Multi-objective application placement in fog computing using graph neural network-based reinforcement learning
by: Lera, Isaac, et al.
Published: (2026)

Distributedness based scheduling
by: Ranjan, Paritosh, et al.
Published: (2025)

Kubernetes in Action: Exploring the Performance of Kubernetes Distributions in the Cloud
by: Aqasizade, Hossein, et al.
Published: (2024)

Adaptive Resource Allocation for Workflow Containerization on Kubernetes
by: Shan, Chenggang, et al.
Published: (2023)

A User-centric Kubernetes-based Architecture for Green Cloud Computing
by: Zanotto, Matteo, et al.
Published: (2025)

Blockchain-aided wireless federated learning: Resource allocation and client scheduling
by: Li, Jun, et al.
Published: (2024)

Signalling Health for Improved Kubernetes Microservice Availability
by: Roberts, Jacob, et al.
Published: (2025)

Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT
by: Liu, Shengheng, et al.
Published: (2025)

Enhancing Kubernetes Resilience through Anomaly Detection and Prediction
by: Anemogiannis, V., et al.
Published: (2025)

A Contention-Free Model for Converged Kubernetes on HPC
by: Sochat, Vanessa, et al.
Published: (2024)

AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster
by: Li, Siyuan, et al.
Published: (2024)

Performance bounds for priority-based stochastic coflow scheduling
by: Brun, Olivier, et al.
Published: (2025)

Running Cloud-native Workloads on HPC with High-Performance Kubernetes
by: Chazapis, Antony, et al.
Published: (2024)

KubeDSM: A Kubernetes-based Dynamic Scheduling and Migration Framework for Cloud-Assisted Edge Clusters
by: Pashaeehir, Amirhossein, et al.
Published: (2025)

AAPA: An Archetype-Aware Predictive Autoscaler with Uncertainty Quantification for Serverless Workloads on Kubernetes
by: Zhang, Guilin, et al.
Published: (2025)

Version age-based client scheduling policy for federated learning
by: Hu, Xinyi, et al.
Published: (2024)

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling
by: Zhang, Guilin, et al.
Published: (2025)

The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster
by: Weitzel, Derek, et al.
Published: (2025)

QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
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)

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection
by: Chen, Zihao, et al.
Published: (2025)

Workflow decomposition algorithm for scheduling with quantum annealer-based hybrid solver
by: Kroczek, Marcin, et al.
Published: (2025)

Kubernetes Deployment Options for On-Prem Clusters
by: Bryant, Lincoln, et al.
Published: (2024)

Container late-binding in unprivileged dHTC pilot systems on Kubernetes resources
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)

Kubernetes in the Cloud vs. Bare Metal: A Comparative Study of Network Costs
by: Redoli, Rodrigo Mompo, et al.
Published: (2025)

Priority Matters: Optimising Kubernetes Clusters Usage with Constraint-Based Pod Packing
by: Christensen, Henrik Daniel, et al.
Published: (2025)

Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Performance and Resource Efficiency
by: Yakubov, Diyaz, 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)

KubePACS: Kubernetes Cluster Using Performant, Highly Available, and Cost Efficient Spot Instances
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)

Container-level Energy Observability in Kubernetes Clusters
by: Pijnacker, Bjorn, et al.
Published: (2025)

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
by: Mao, Ying, et al.
Published: (2020)

An SLO Driven and Cost-Aware Autoscaling Framework for Kubernetes
by: Punniyamoorthy, Vinoth, et al.
Published: (2025)

Taming the Memory Beast: Strategies for Reliable ML Training on Kubernetes
by: Ray, Jaideep
Published: (2024)

Implementation of New Security Features in CMSWEB Kubernetes Cluster at CERN
by: Ali, Aamir, et al.
Published: (2024)

Mitigating Temporal Blindness in Kubernetes Autoscaling: An Attention-Double-LSTM Framework
by: Shaikh, Faraz, et al.
Published: (2026)

K8s Pro Sentinel: Extend Secret Security in Kubernetes Cluster
by: Gunathilake, Kavindu, et al.
Published: (2024)

Eudoxia: a FaaS scheduling simulator for the composable lakehouse
by: Srivastava, Tapan, et al.
Published: (2025)