Cloud Software Design For Image-Based Processing And Monitoring of Chlorine in Remote Areas

Abstract

This paper presents a form of cloud architecture that fulfills operational requirements with a physical system composed of multiple modules deployed in rural areas in Peru. It starts by providing context around water provision in Peru and its many challenges. It then follows an attribute-driven design process separated into three iterations, which enabled the creation of a software architecture for this case study. Testing results showed adequate performance where connections were proven to be robust. Results also revealed time response to be responsive: under 700 ms for data reading and 400 ms for image processing. In addition, the results were not compromised under an increasing load, proving the architecture is scalable.