Python to Kubernetes: A Programming and Resource Management Framework for Compute-and Data-intensive Applications

In this paper, we introduce the Python to Kubernetes (PTK) framework, a high-level Python-based programming framework for deploying Python applications on top of Kubernetes clusters. PTK supports a task-based programming approach with extensions for specifying resource requirements and performance c...

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Vydáno v:Proceedings - International Conference on Parallel and Distributed Systems s. 479 - 486
Hlavní autoři: Nagiyev, Andrey, Bajrovic, Enes, Benkner, Siegfried
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 10.10.2024
Témata:
Annotations
clustering
compute-intensive applications
containerization
Containers
Costs
data-intensive applications
Programming
Prototypes
Python
Resource management
task-based programming
ISSN:2690-5965
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Shrnutí:In this paper, we introduce the Python to Kubernetes (PTK) framework, a high-level Python-based programming framework for deploying Python applications on top of Kubernetes clusters. PTK supports a task-based programming approach with extensions for specifying resource requirements and performance constraints. A major goal of PTK is to provide users with high-level control for deploying compute- and data-intensive applications on different types and configurations of heterogeneous clusters, while ensuring performance and/or cost constraints.
ISSN:2690-5965
DOI:10.1109/ICPADS63350.2024.00069