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Top1. Introduction
The CC technologies are on the upsurge in the industry of Healthcare (Ali Omar et al., 2018). Even the adoption of the CC in healthcare industries is about to rise in the future. It’s all because the industries have to deliver better quality medical services, sharing of the medical information, increase the operative efficiency, and increased competition between the different clouds SP (service provider) (Somula et al.,2019).
As per the survey (https://www.protiviti.com/US-en/insights/top-risks,2019) of North Carolina State University EMR Protiviti and EMR initiative. They have come up with the results by suggesting that establishments or organizations in the world have several critical concerns and are mention in Figure 1(a) and Figure 1(b). Amongst the various concerns, the important factor is the performance expectations. The existing IT infrastructure (legacy systems) and operations might are not capable of meeting with the present performance anticipations.
Figure 1. (a) Survey report on top risk for 2019; (b) Graphical representation for the survey report on top risk for 2019
The CC should provide an environment where the applications must be managed efficiently by fulfilling its concern QoS without the human involvement. Now fulfilling these QoS requirements, maximizing its efficiency, heterogeneity, dispersion, and uncertainty of the infrastructure resources adds challenges to the CC ecosystems, which cannot be efficiently satisfied with the traditional resource allocation policies. Hence the desired qualities of the CC must be: to improves its performance through fault tolerance through avoiding or reducing the impacts of failures on executions, to completely avoid or reduce the under loading and overloading of the resources, and to proactively detect mischievous attacks in the cloud eco-system.
Overloading and underloading of the resources are all due to the instabilities of the workloads. The dispersion and uncertainties of resources cause problems in the allocation of possessions such as CPU utility, RAM, memory, etc. Considering the aforementioned constraints, the SLAMMP framework is proposed in this research paper.The SLAMMP framework discussed here will mitigate the risks factor mentioned with numbers such as 3, 6, 8, 9, and 10 of Figure1(a). As a result, the management of cloud IaaS resources will help health care industries to manage their patient’s data and healthcare information in a more cost-effective and precise way, as per their general policies. While the CC can expressively reduce the cost related to IT and intricacies, this also enhances the delivery of the services and utilization of the resources. The e-health cloud services must be accessible continuously without performance degradation and interruptions. The SLAMMP framework discussed herein will focus on performance degradation parameters and take appropriate actions instantly to deliver the services uninterruptedly with a cost-effective approach. The resources will be managed automatically for the medical services at the back end by the CSP using the SLAMMP framework to avoid the conditions of over-provisioning and under-provisioning (Zhao et al.,2016). SLAMMP take cares of the SLA. The SLA explains the roles of each client and the service provider.
A Service level agreement(SLA) is the pledge(bond) for the performance negotiations between the ens user and the cloud service provider. SLA describes the level of the facility expected by the end-users from the CSP, setting out the metrics from which the services can be measured and imposes the penalties to any of the mentioned parties if the agreed-on service levels are not attained (Shah T et al.,2016).
The SLA criteria (Stamou et al.,2013)can be defined as shown in Table 1.