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.
The bilateral cloud forensics system model is an attractive solution in applications where mutually untrusted CSCs and CSPs are reluctant, or unable, to use a trusted third party and therefore, agree to deploy their own component services.
These works show an example where a non-stationary cloud system is modeled through queueing theory.
The relationship among the variations of the thermal structure, the H2SO4 vapor distribution, and the cloud distribution is a key to understanding the cloud system; regional cloud models predict significant variability of the clouds (McGouldrick et al. 2008a, b), and Venus Express VIRTIS showed mesoscale variability of the cloud optical thickness (McGouldrick et al. 2012).
In [ 16], the authors obtained the response time distribution for a cloud with a M/M/m/m+r system model.
Another similar system is developed in [80], where a multi-tiered Fog and Cloud system, linked data, and classification models have been used for EEG-based Brain-computer interfaces (BCI).
In our case, we are interested in modelling a private cloud system, maintained by one organization/institution, of the SaaS kind, which mainly provides software services to its members or end users, clinicians and patients.
The proposed ontology specifications can describe various entities (e.g. cloud, system, software, etc)., whereas the authorization model can deal with user authentication and authorization tasks.
As an additional contribution, we apply the runtime model to a real Cloud system, which is a practical evaluation on architecture-based integrated management of diverse Cloud resources.
