Abstract
In this paper, we introduce a new kind of Service Level Agreement(SLA) Template to better control dynamically quality of medical monitoring platform service. Our approach is based on Health care system and Health Information Technology (HIT) research area, specifically the field of telemonitoring system for patients who suffer from chronic obstructive pulmonary disease (COPD). According to WHO statistics, COPD is the third leading cause of death worldwide. To this end, several solutions or platforms exist today to monitor COPD. Most of these platforms manage large volume of patient data. This can bring about quality and lost data problems. To address these issues, control mechanisms must be proposed and designed to improve the quality of service (QoS) on these platforms. A platform with continuously monitored QoS can save patients’ lives and reduce data quality risk. In this article, we propose an ontology that uses SLAs data from COPD monitoring platforms with dynamic data from a patient context. We dynamically calculate the number of patient data incidents and the number of service request incidents from two dynamic contexts: SLA and the patient context. If the number of incidents is higher than what is expected in the SLA, then alerts are sent to the interface parties in real time. Finally, the contribution of this article is the proposed virtual SLA template to better control SLA violation and improve quality of medical monitoring platforms services.
Highlights
During the last few decades, ubiquitous computing, Health Care System and HealthInformation Technology (HIT), commonly referred to as pervasive/ubiquitous systems, has impacted the world of research
These data retrieved in real time allow the calculation of key performance indicator (KPI) targets based on service level objective (SLO)
Labidi et al [12] explained: “We describe the cloud Service level agreement (SLA) modelling and analyzing approach that assists consumers to automatically analyze the terms of various SLA documents”
Summary
During the last few decades, ubiquitous computing, Health Care System and Health. The question is how to dynamically monitor the service level agreement (SLA) during an adaptation activity in which the context can be changed. The algorithms on which the calculations are based may be erroneous All these situations can cause violations of the SLAs between the providers of context-aware applications and users or customers. The solution allows us to retrieve the main items from SLA based XML documents and retrieve the COPD patient context data dynamically from a COPD SLA ontology These data retrieved in real time allow the calculation of key performance indicator (KPI) targets based on service level objective (SLO). This paper presents our adaptive mechanism model to better control SLA violations in the context of monitoring COPD patients. The structure of the article is organized as follows: Section 2 describes related works, Section 3 presents the proposed model, Section 4 describes the design of the virtual adaptive template SLA and its implementation, and Section 5 presents the conclusion and future works
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