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A. Kaceniauskas¹, R. Pacevic¹, M. Staškuniene¹, V. Starikovicius¹ and G. Davidavicius²

¹Laboratory of Parallel Computing, Vilnius Gediminas Technical University, Lithuania
²Centre of Cardiology and Angiology, Vilnius University Hospital "Santariškiu Klinikos", Lithuania

Keywords: cloud computing, software as a service, OpenStack, blood flows, aortic valve, ANSYS Fluent, performance analysis.

Summary

This paper presents the development of the cloud software services for computational analysis of blood flows on a private university cloud. The main focus is on the software service level built on the top of the computational platform provided. Moreover, user friendly management tools have been developed by using the Apache jclouds API to enhance the management of OpenStack cloud infrastructure and to increase the accessibility of engineering software. The blood flow through an aortic valve is considered as a pilot application of the private cloud infrastructure. The investigated flows can be described using numerical models based on viscous incompressible Navier-Stokes equations. The modelling software environment based on ANSYS Fluent is developed as a software service (SaaS) for the numerical analysis of low flow, low pressure gradient aortic stenosis. The performance of the developed cloud infrastructure has been assessed testing CPU, memory IO, disk IO, network and the developed software service for computations of blood flow through an aortic valve. The results obtained have been compared with the performance obtained using the native hardware.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 107 PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: Paper 23 Development of Cloud Software Services for Computational Analysis of Blood Flows A. Kaceniauskas¹, R. Pacevic¹, M. Staškuniene¹, V. Starikovicius¹ and G. Davidavicius² ¹Laboratory of Parallel Computing, Vilnius Gediminas Technical University, Lithuania ²Centre of Cardiology and Angiology, Vilnius University Hospital "Santariškiu Klinikos", Lithuania doi:10.4203/ccp.107.23 purchase the full-text of this paper Full Bibliographic Reference for this paper , "Development of Cloud Software Services for Computational Analysis of Blood Flows", in , (Editors), "Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 23, 2015. doi:10.4203/ccp.107.23 Keywords: cloud computing, software as a service, OpenStack, blood flows, aortic valve, ANSYS Fluent, performance analysis. Summary This paper presents the development of the cloud software services for computational analysis of blood flows on a private university cloud. The main focus is on the software service level built on the top of the computational platform provided. Moreover, user friendly management tools have been developed by using the Apache jclouds API to enhance the management of OpenStack cloud infrastructure and to increase the accessibility of engineering software. The blood flow through an aortic valve is considered as a pilot application of the private cloud infrastructure. The investigated flows can be described using numerical models based on viscous incompressible Navier-Stokes equations. The modelling software environment based on ANSYS Fluent is developed as a software service (SaaS) for the numerical analysis of low flow, low pressure gradient aortic stenosis. The performance of the developed cloud infrastructure has been assessed testing CPU, memory IO, disk IO, network and the developed software service for computations of blood flow through an aortic valve. The results obtained have been compared with the performance obtained using the native hardware. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £45 +P&P)
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