Running Cloud-native Workloads on HPC with High-Performance Kubernetes
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866917786797735936 |
|---|---|
| author | Chazapis, Antony Maliaroudakis, Evangelos Nikolaidis, Fotis Marazakis, Manolis Bilas, Angelos |
| author_facet | Chazapis, Antony Maliaroudakis, Evangelos Nikolaidis, Fotis Marazakis, Manolis Bilas, Angelos |
| contents | The escalating complexity of applications and services encourages a shift towards higher-level data processing pipelines that integrate both Cloud-native and HPC steps into the same workflow. Cloud providers and HPC centers typically provide both execution platforms on separate resources. In this paper we explore a more practical design that enables running unmodified Cloud-native workloads directly on the main HPC cluster, avoiding resource partitioning and retaining the HPC center's existing job management and accounting policies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_16919 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Running Cloud-native Workloads on HPC with High-Performance Kubernetes Chazapis, Antony Maliaroudakis, Evangelos Nikolaidis, Fotis Marazakis, Manolis Bilas, Angelos Distributed, Parallel, and Cluster Computing The escalating complexity of applications and services encourages a shift towards higher-level data processing pipelines that integrate both Cloud-native and HPC steps into the same workflow. Cloud providers and HPC centers typically provide both execution platforms on separate resources. In this paper we explore a more practical design that enables running unmodified Cloud-native workloads directly on the main HPC cluster, avoiding resource partitioning and retaining the HPC center's existing job management and accounting policies. |
| title | Running Cloud-native Workloads on HPC with High-Performance Kubernetes |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2409.16919 |