Abstract
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.
Highlights
Cloud computing is a new paradigm that is changing how enterprises, institutions and people understand, perceive and use current software systems
This article presents the design of a cloud platform with Quality of Service (QoS) guarantees applied to e-Health
By modelling a queue system we aim to provide scalability to the cloud infrastructure running on a given virtualized platform
Summary
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. The time dedicated to personalized clinical attention to patients increase, and clinicians more effectively scheduled and managed that time. Avoids unnecessary travel by patients, while allowing them to feel closely followed by the clinician. This is just one example of the benefits that can bring telematic applications, whose implementation in health centres is increasing. We can say that this health approach can be extrapolated to many other areas, administration, education, social care, etc
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