Performance comparison of multi-container deployment schemes for HPC workloads: an empirical study

Author:

Liu PeiniORCID,Guitart Jordi

Funder

Generalitat de Catalunya

Generalitat de Cataluny

Agencia Estatal de Investigación

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A qualitative and quantitative analysis of container engines;Journal of Systems and Software;2024-04

2. Kub: Enabling Elastic HPC Workloads on Containerized Environments;2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2023-10-17

3. Performance Characterization of Multi-Container Deployment Schemes for Online Learning Inference;2023 IEEE 16th International Conference on Cloud Computing (CLOUD);2023-07

4. An Empirical Study of Containerized MPI and GUI Application on HPC in the Cloud;2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT);2022-12-23

5. Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters;2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2022-12

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