A Smart Testing Framework for IoT Applications
Brian Ramprasad, Joydeep Mukherjee, Marin Litoiu · 2018
The number of IoT devices has been growing exponentially as new products are developed and legacy systems become Internet enabled. As a consequence, the large amount of traffic generated by IoT devices require new approaches to network architecture design. The primary challenge with IoT devices is that the traffic can be highly variable due to the device type and the time of use. In order to maintain Quality of Service standards in a dynamic IoT network, these traffic patterns need to be modeled and understood so that we can adapt the architecture dynamically to maintain a desired level of Quality of Service. To this effect, we propose a Smart Testing Framework that can detect bottlenecks and predict the demand for computing resources in a dynamic IoT network. Results obtained from using our framework indicate that we can predict the demand for computing resources in a dynamic IoT network with a high degree of accuracy.