Energy and performance aware fog computing: A case of DVFS and green renewable energy

Fog Computing has appeared as a very favorable computing paradigm for location, time, and delay sensitive applications. The aforementioned features make fog computing an extremely suitable interface between the Internet of Things (IoT) and Cloud. Despite implementation, design, modeling, computing, communication, and several architectural challenges, performance and energy aware Fog–IoT computing has not attained significant attention by the researchers lately. To that end, this paper encompasses the concept of green renewable energy in the fog environment. In order to effectively add authentication as well as security layer to this sensitive data, blockchain presents a ideal solution for securing a centralized ledger of the utilization data. Blockchain technology being easy to deploy and having cross platform nature becomes an ideal candidate for leveraging the full potential of the system. This paper proposes an adaptive performance and energy-aware scheme for Fog–IoT computational environment. To evaluate the effectiveness of our proposed methodology, simulations are configured through iFogSim simulator and the results are compared with the state-of-the-art methodology. This proposed scheme is also formally verified for the safety properties. Experimental results demonstrate that the scheme performs significantly better than the compared approach in terms of energy consumption in the power saver mode. Moreover, the proposed scheme also establishes its efficacy in terms of the Quality of Service (QoS) parameters in both the power saver mode and the conservative mode.