The cloud paradigm applied to e-Health

BMC Medical Informatics and Decision Making

Technical Advance

Jordi Vilaplana¹  Francesc Solsona¹  Rosa Filgueira²  Josep Rius³  Francesc Abella⁴ 

[1] Computer Science Department, University of Lleida, Jaume II 69, 25001, Lleida, Spain;Edinburgh Data-Intensive Research Group, School of Informatics, The University of Edinburgh, Edinburgh, UK;ICG Software, Pol. Industrial Torrefarrera C. Mestral, s/n 25123, orrefarrera, Lleida, Spain;Unitat de Tabaquisme of Hospital Santa Maria de Lleida, Alcalde Rovira Roure, 44, 25198, Lleida, Spain;

关键词: Cloud systems;    e-Health;    Queue systems;    Quality of service;   

DOI  :  10.1186/1472-6947-13-35

 received in 2012-09-17, accepted in 2013-02-19,  发布年份 2013

来源: Springer

【 摘 要 】

BackgroundCloud computing is a new paradigm that is changing how enterprises, institutions and people understand, perceive and use current software systems. With this paradigm, the organizations have no need to maintain their own servers, nor host their own software. Instead, everything is moved to the cloud and provided on demand, saving energy, physical space and technical staff. Cloud-based system architectures provide many advantages in terms of scalability, maintainability and massive data processing.MethodsWe present the design of an e-health cloud system, modelled by an M/M/m queue with QoS capabilities, i.e. maximum waiting time of requests.ResultsDetailed results for the model formed by a Jackson network of two M/M/m queues from the queueing theory perspective are presented. These results show a significant performance improvement when the number of servers increases.ConclusionsPlatform scalability becomes a critical issue since we aim to provide the system with high Quality of Service (QoS). In this paper we define an architecture capable of adapting itself to different diseases and growing numbers of patients. This platform could be applied to the medical field to greatly enhance the results of those therapies that have an important psychological component, such as addictions and chronic diseases.

【 授权许可】

Unknown   
© Vilaplana et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.