Flow-Graph Based Optimization of Containerized Resource Scheduling: An Efficient Scheduling Algorithm for Kubernetes Clusters

Le Zhang; Xin Ji; Fang Peng; Junting Li; Yi-Ting Chen; Kui Zhang

doi:10.1109/icicr61203.2024.00011

ScienceGate Book Chapters

JOURNAL ARTICLE

Flow-Graph Based Optimization of Containerized Resource Scheduling: An Efficient Scheduling Algorithm for Kubernetes Clusters

Le Zhang Xin Ji Fang Peng Junting Li Yi-Ting Chen Kui Zhang

Year: 2024 Vol: 28 Pages: 1-7

DOI: 10.1109/icicr61203.2024.00011

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Distributed computing Scheduling (production processes) Flow shop scheduling Parallel computing Fair-share scheduling Dynamic priority scheduling Processor scheduling Algorithm Mathematical optimization Resource (disambiguation) Quality of service Mathematics Computer network

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.24

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

Distributed and Parallel Computing Systems

Physical Sciences → Computer Science → Computer Networks and Communications

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Flow-Graph Based Optimization of Containerized Resource Scheduling: An Efficient Scheduling Algorithm for Kubernetes Clusters

Metrics

Topics

Related Documents

Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters

GPARS: Graph predictive algorithm for efficient resource scheduling in heterogeneous GPU clusters

Scheduling Containerized Workflow in Multi-cluster Kubernetes

Min-Leader Optimal Scheduling Algorithm in Kubernetes Clusters

Cost-efficient scheduling algorithms based on beetle antennae search for containerized applications in Kubernetes clouds