Authors:
Sergio Hernández
;
Javier Fabra
;
Pedro Álvarez
and
Joaquín Ezpeleta
Affiliation:
University of Zaragoza, Spain
Keyword(s):
Scientific Workflows, Grid Modelling and Simulation, Workloads, Performance Analysis.
Related
Ontology
Subjects/Areas/Topics:
Case Studies
;
Computer Simulation Techniques
;
Domain-Specific Tools
;
Health Engineering and Technology Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Simulation and Modeling
;
Simulation Tools and Platforms
Abstract:
Grid computing infrastructures have recently come up as computing environments able to manage heterogeneous and geographically distributed resources, being very suitable for the deployment and execution of scientific workflows. An emerging topic in this discipline is the improvement of the scheduling process and the overall execution requirements by means of simulation environments. In this work, a simulation component based on realistic workload usage is presented and integrated into a framework for the flexible deployment of scientific workflows in Grid environments. This framework allows researchers to simultaneously work with different and heterogeneous Grid middlewares in a transparent way and also provides a high level of abstraction when developing their workflows. The approach presented here allows to model and simulate different computing infrastructures, helping in the scheduling process and improving the deployment and execution requirements in terms of performance, resour
ce usage, cost, etc. As a use case, the Inspiral analysis workflow is executed on two different computing infrastructures, reducing the overall execution cost.
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