Performance Evaluation of IoT Platforms in Green ICT Applications

With the advent of the Internet of Things (IoT), its deployment and applications have grown exponentially in the past decade. This growth has had led scientists and stakeholders to the prediction that about 30 billion of things (IoT) will be connected by 2020 in diverse applications such as transport, healthcare, utility, education, and home automation. Large data streams generated by sensors; it can be data acquisition, storage, or processing, derived the development of cloud-based middleware (or otherwise known as IoT Platform) for IoT. To date, hundreds of IoT platforms fluxing the market (both open-source and commercial) with various complexities, pricing, and services. In this thesis, we proposed an IoT Platform Benchmarking Methodology comprised of four different evaluations namely; Technical, Usability, Sustainability, and Market Competency. We discussed in detail Technical Evaluation based on TPC-IoT benchmarking to evaluate the performance of any IoT platform. The main objective of this research is to provide insight into key parameters in each layer of the platform affecting the overall performance. A preliminary evaluation of data ingestion of open-source IoT platform will be presented based on benchmarking methodology (TPC-IoT)