Virtual Resources Allocation for Workflow-Based Applications Distribution on a Cloud Infrastructure
Year: 2010
Type: conference-paper
Abstract: Cloud computing infrastructures are providing resources on demand for tackling the needs of large-scale distributed applications. Determining the amount of resources to allocate for a given computation is a difficult problem though. This paper introduces and compares four automated resource allocation strategies relying on the expertise that can be captured in workflow-based applications. The evaluation of these strategies was carried out on the Aladdin/Grid'5000 testbed using a real application from the area of medical image analysis. Experimental results show that optimized allocation can help finding a trade-off between amount of resources consumed and applications make span.
Authors: Tram Truong Huu, Johan Montagnat
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Agence Nationale de la Recherche
OpenAlex ID: W2139473025
