TY - JOUR
T1 - The cloud paradigm applied to e-Health
AU - Vilaplana, Jordi
AU - Solsona, Francesc
AU - Abella, Francesc
AU - Filgueira, Rosa
AU - Rius, Josep
N1 - Funding Information:
This work was supported by the MEyC under contract TIN2011-28689-C02-02. Some of the authors are members of the research group 2009 SGR145, funded by the Generalitat de Catalunya.
PY - 2013
Y1 - 2013
N2 - Background: Cloud 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. Methods. We 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. Results: Detailed 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. Conclusions: Platform 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.
AB - Background: Cloud 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. Methods. We 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. Results: Detailed 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. Conclusions: Platform 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.
KW - Cloud systems
KW - e-Health
KW - Quality of service
KW - Queue systems
UR - http://www.scopus.com/inward/record.url?scp=84874931147&partnerID=8YFLogxK
U2 - 10.1186/1472-6947-13-35
DO - 10.1186/1472-6947-13-35
M3 - Article
C2 - 23496912
AN - SCOPUS:84874931147
SN - 1472-6947
VL - 13
JO - BMC Medical Informatics and Decision Making
JF - BMC Medical Informatics and Decision Making
IS - 1
M1 - 35
ER -
