A Quantitative Model of Grid Systems Performance in Healthcare Organisations

2010 International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2010-01-27 DOI:10.1109/ISMS.2010.84

Saleh M. Altowaijri, Rashid Mehmood, John G. Williams

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引用次数: 30

Abstract

Future healthcare systems and organisations demand huge computational resources, and the ability for the applications to interact and communicate with each other within and across organisational boundaries. Examples of healthcare applications include medical imaging and processing, electronic health records, epidemiology and other higher-level analysis of healthcare data. Grid Computing has the potential to provide solutions to many of the challenges in healthcare systems, including the deployment path and business models. This paper presents a quantitative, Markovian, performance model to evaluate the suitability of computational Grids for pervasive deployment of medical applications in healthcare organisations. For a range and mix of medical applications, we compute steady state probability distributions of the respective Markov models and analyse the system performance using the results. This study is a step forward to quantitatively demonstrate the potential of computational Grids for their use in healthcare organisations.

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医疗保健组织中网格系统性能的定量模型

未来的医疗保健系统和组织需要大量的计算资源，以及应用程序在组织内部和跨组织边界相互交互和通信的能力。医疗保健应用的示例包括医疗成像和处理、电子健康记录、流行病学和其他更高级别的医疗保健数据分析。网格计算有潜力为医疗保健系统中的许多挑战提供解决方案，包括部署路径和业务模型。本文提出了一个定量的、马尔可夫的性能模型来评估计算网格在医疗保健组织中广泛部署医疗应用程序的适用性。对于一系列医疗应用，我们计算了各自马尔可夫模型的稳态概率分布，并使用结果分析了系统性能。这项研究是向前迈出的一步，定量地展示了计算网格在医疗保健组织中使用的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2010 International Conference on Intelligent Systems, Modelling and Simulation

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