Scalability performance evaluation of the E-Ambulance software service

E-Ambulance is a Software as a Service (SaaS) solution for computer assisted diagnoses of ECG recordings. It is an expert system, providing doctors and their patients a cloud solution for computer assisted diagnoses of ECG recordings and means of collaborative monitoring and treatment. In this paper, we aim at evaluating the scalability performance of the E-Ambulance SaaS solution by presenting the architecture of the SaaS application and annotation REST service for diagnoses/anamneses, followed by the testing methodology. The overall goal is to evaluate the scalability performance and find the optimal architecture that will offer highest performance for the user. We have developed a prototype of the main SaaS application and a prototype of one web service to be used within the SaaS application for management of annotations. Both were developed in different technologies to find out if there is any influence on the performance.