A Framework for Comparing Quantitative and Qualitative Criteria of IoT Platforms

With the daily increasing development of the Internet of Things, Internet of Things platform as a service, come into the world arena with different structures and characteristics. This leads to make the balance of their advantages and disadvantages, so that we can choose the appropriate platform to apply it for advancement of our aims. Data management, data monitoring, no loss data, speed, low latency and other criteria play very important role to select a good platform. Therefore, in this research, while investigating the quantitative and qualitative criteria of different platforms, we have tried to find a framework for evaluating them. In order to achieve this goal, some platforms such as Thingspeak, Xively and AWS IoT have been introduced and according to be mentioned criteria; we have implemented and tested different scenarios in the equal environment and conditions, and evaluated how the platforms behave according to the existing criteria.