ABSTRACT
This chapter proposes an optimized pricing framework covering a cost-effective Internet of Things (IoT) infrastructure to address the data delivery issue in the IoT era by considering uncertainty factors. It outlines the related works and background behind the pricing model and introduces uncertainty factors. Uncertainty features can be utilized to provide services in a way that the overall requirements of the communication systems are satisfied. The simulation tool randomly generates the uncertainty array based on the amount of entries required. The flexibility of Cloud-based infrastructures requires a cost-effective pricing model to enhance the reliability of the system especially for the ones under uncertainty. The pricing problem is solved using different core powers to represent the speedup that distributed systems would achieve when it solves/computes uncertainty. Uncertainty is an important issue that affects computing efficiency and brings additional challenges to Cloud providers in the IoT environment.
