Python to Kubernetes: A Programming and Resource Management Framework for Compute- and Data-intensive Applications
Abstract
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.
Top- Nagiyev, Andrey
- Bajrovic, Enes
- Benkner, Siegfried
Shortfacts
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Paper) |
Event Title |
IEEE International Conference on Parallel and Distributed Systems (ICPADS) |
Divisions |
Scientific Computing |
Subjects |
Software Engineering Programmiersprachen Datenverarbeitungsmanagement Kuenstliche Intelligenz Anwendungssoftware Parallele Datenverarbeitung Systemarchitektur Allgemeines |
Event Location |
Belgrade, Serbia |
Event Type |
Conference |
Event Dates |
October 10-14th |
Date |
11 October 2024 |
Export |