TCP-Inspired Congestion Avoidance for Cloud-IoT Applications

Abstract

Cloud-loT Applications consist of thousands of smart devices sending sensor data to processing cloud applications. If the processing rate of the cloud application is limited it may be unable to cope with an increasing number of connected devices. If such a situation is not addressed, the cloud application is overloaded with messages, resulting in a high processing delay or loss of data. For this reason we propose a TCP-inspired congestion avoidance which reconfigures the send rate of devices at runtime aiming for a low processing delay and a high throughput. We show, that it is able to avoid congestions by adapting the send rate of devices to a fair share of the processing rate of the cloud application.