Bi-objective Workflow Scheduling in Production Clouds: Early Simulation Results and Outlook

Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014). Porto (Portugal), August 27-28, 2014.We present MOHEFT, a multi-objective list scheduling heuristic that provides the user with a set of Pareto tradeoff optimal solutions from which the one that better suits the user requirements can be manually selected. We demonstrate the potential of our method for multi-objective workflow scheduling on the commercial Amazon EC2 Cloud by comparing the quality of the MOHEFT tradeoff solutions with a state-of-the-art multi-objective approach called SPEA2* for three types of synthetic workflows with different parallelism and load balancing characteristics. We conclude with an outlook into future research towards closing the gap between the scientific simulation and real-world experimentation.The work presented in this paper has been partially supported by EU under the COST programme Action IC1305, Network for Sustainable Ultrascale Computing (NESUS)

Multi-infrastructure workflow execution for medical simulation in the Virtual Imaging Platform

International audienceThis paper presents the architecture of the Virtual Imaging Platform sup- porting the execution of medical image simulation workflows on multiple comput- ing infrastructures. The system relies on the MOTEUR engine for workflow execu- tion and on the DIRAC pilot-job system for workload management. The jGASW code wrapper is extended to describe applications running on multiple infrastruc- tures and a DIRAC cluster agent that can securely involve personal cluster re- sources with no administrator intervention is proposed. Grid data management is complemented with local storage used as a failover in case of file transfer errors. Between November 2010 and April 2011 the platform was used by 10 users to run 484 workflow instances representing 10.8 CPU years. Tests show that a small per- sonal cluster can significantly contribute to a simulation running on EGI and that the improved data manager can decrease the job failure rate from 7.7% to 1.5%

Instance nationale et multi-communauté de DIRAC pour France Grilles

DIRAC [DIRAC] [TSA-08] is a software framework for building distributed computing systems. It was primarily designed forthe needs of the LHCb [LHCb] Collaboration, and is now used by many other communities within EGI [EGI] as a primary wayof accessing grid resources. In France, dedicated instances of the service have been deployed in different locations toanswer specific needs. Building upon this existing expertise, France Grilles [FG] initiated last year a project to deploy anational, multi-community instance in order to share expertise and provide a consistent high-quality service. After describingDIRAC main aims and functionalities, this paper presents the motivations for such a project, as well as the wholeorganizational and technical process that led to the establishment of a production instance that already serves 13communities: astro.vo.eu-egee.org, biomed, esr, euasia, gilda, glast.org, prod.vo.eu-eela.eu, superbvo.org,vo.formation.idgrilles.fr, vo.france-asia.org, vo.france-grilles.fr, vo.msfg.fr and vo.mcia.fr

A virtual imaging platform for multi-modality medical image simulation.

International audienceThis paper presents the Virtual Imaging Platform (VIP), a platform accessible at http://vip.creatis.insa-lyon.fr to facilitate the sharing of object models and medical image simulators, and to provide access to distributed computing and storage resources. A complete overview is presented, describing the ontologies designed to share models in a common repository, the workflow template used to integrate simulators, and the tools and strategies used to exploit computing and storage resources. Simulation results obtained in four image modalities and with different models show that VIP is versatile and robust enough to support large simulations. The platform currently has 200 registered users who consumed 33 years of CPU time in 2011

Computational Reproducibility: An Overview Illustrated with Examples from the Medical Imaging Community

3rd cycl

Computational Reproducibility: An Overview Illustrated with Examples from the Medical Imaging Community

3rd cycl

A model of pilot-job resource provisioning on production grids

International audienc

ReproVIP Report associated to Reproducibility Dashboard (D1.1.2) and CI platform (D 1.2.1)

The aim of this report is to present the ecosystem established within the framework of the ReproVIP project (ANR project 21-CE45-0024). It specifically concerns the functioning of the dashboard related to the study of the reproducibility of medical imaging applications offered by the VIP platform (vip.creatis.insa-lyon.fr).L’objectif de ce rapport est de présenter l’écosystème mis en place dans le cadre du projet ReproVIP (projet ANR 21-CE45-0024). Il concerne plus précisément le fonctionnement du dashboard lié à l’étude de la reproductibilité des applications d’imagerie médicale proposées par la plateforme VIP (vip.creatis.insa-lyon.fr)