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Development of cloud services for patient-specific simulations of blood flows through aortic valves

机译:开发用于特定于患者的主动脉瓣血流模拟的云服务

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The paper presents the development of cloud software services for patient-specific computational analysis of blood flows through the aortic valve on a private university cloud. The main focus is on the software service level at the top of the provided computational platform. Blood flow through the aortic valve was considered as a pilot application of the OpenStack cloud infrastructure. A modelling software environment based on ANSYS Fluent was developed as a software service (SaaS) for the numerical analysis of low flow, low pressure gradient aortic stenosis. Segmentation software services were designed to deal with the patient-specific issues of the computational analysis. User-friendly management tools were developed using Apache jclouds API to enhance the management of OpenStack cloud infrastructure and to increase the accessibility of the required software. The performance of the cloud infrastructure was assessed by testing CPU, memory bandwidth, disk I/O and the developed software service for medical computations. The performance measured on Xen hardware virtual machines, KVM virtual machines and Docker containers were compared with the performance obtained by using the native hardware.
机译:本文介绍了云软件服务的开发,该服务用于针对特定患者的通过私有大学云上的主动脉瓣的血流计算分析。主要侧重于提供的计算平台顶部的软件服务级别。通过主动脉瓣的血流被认为是OpenStack云基础设施的试点应用。作为软件服务(SaaS),开发了基于ANSYS Fluent的建模软件环境,用于对低流量,低压梯度主动脉瓣狭窄进行数值分析。细分软件服务旨在处理特定于患者的计算分析问题。使用Apache jclouds API开发了用户友好的管理工具,以增强OpenStack云基础架构的管理并增加所需软件的可访问性。通过测试CPU,内存带宽,磁盘I / O和用于医学计算的已开发软件服务,评估了云基础架构的性能。将在Xen硬件虚拟机,KVM虚拟机和Docker容器上测得的性能与使用本机硬件获得的性能进行了比较。

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