Simulation and Assessment of Vertical Scaling for a Smart Campus Environment Using the Internet of Things

Abstract

The concept of scaling in the Internet of things (IoT) refers to the capacity of expanding the number of Internet-connected devices. From the perspective of exponentially increasing IoT devices, scaling is an important research topic. According to a future flexibility point of view, a smart campus holds significant importance and requires an in-depth study. This study presents a new scalability categorization, comprising the device layer, gateway layer, communication layer, and server/cloud layer. Furthermore, the transport system of the smart campus is assessed and analyzed at the server layer using a custom-based simulator created in Visual Studio. According to the outcomes, raising the workload causes the server's response time to increase. Response time is reduced as a result of scaling up. When scaling up to a specific point and raising the workload, response time further increases resulting in demanding horizontal scaling in the future. This study is expected to aid in determining the capabilities of current and upcoming smart transport systems in the context of smart campuses.