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Statistical analysis of virtualization performance in high energy physics software

Not scheduled


1919-1 Tancha, Onna-son, Kunigami-gun Okinawa, Japan 904-0495
poster presentation Track7: Clouds and virtualization


Victor Manuel Fernandez Albor (Universidade de Santiago de Compostela (ES))


Cloud Computing is emerging today as the new approach followed by computing centres, since the flexibility the Cloud provides is a powerful component to manage their resources. Through the use of virtualization, cloud promise to address with the same shared set of physical resources a large user base with different needs. However, virtualization may induce significant performance penalties for the demanding scientific computing workloads. This work presents an evaluation of the usefulness of the current cloud computing services for scientific applications. The performace of a sample of High Energy Physics (HEP) software running in a Kernel-based Virtual Machine (KVM) under different set-ups is analysed with the use of a multivariate analysis of variance (MANOVA). While clouds are still changing, our results indicate that the current cloud services have to take into account the different setups of Cores and Memory in order to get reasonable performances in HEP-Software.

Primary authors

Marcos Seco Miguelez (Universidade de Santiago de Compostela (ES)) Victor Manuel Fernandez Albor (Universidade de Santiago de Compostela (ES))


Juan Jose Saborido Silva (Universidade de Santiago de Compostela (ES)) Ricardo Graciani Diaz (University of Barcelona (ES)) Dr Tomás Fernandez (Santiago de Compostela University) Victor Mendez Munoz (Universitat de Barcelona)

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