Vol.:(0123456789) Wireless Personal Communications https://doi.org/10.1007/s11277-021-08993-0 1 3 Resource Utilization for IoT Oriented Framework Using Zero Hour Policy Heena Wadhwa 1,2  · Rajni Aron 3 Accepted: 8 August 2021 © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract The cloud computing paradigm offers several services to handle a large amount of data. These services include data storage, exploration, and analysis. Due to the increase in the Internet of Thing devices, traditional computing systems are shifting to fog computing. Resource utilization is a complex task that is often compromised due to the non-availability of required resources on the fog layer. The dynamic nature of fog layer resources depends on the users’ requirements for resources. Due to limited resources available at the fog layer, a resource utilization policy is required to ensure efficient resource usability. Therefore, it is significant to allocate the resources and scheduling tasks on the fog layer. In this paper, a soft real-time based resource utilization framework has been proposed. This framework offers a zero hour policy that caters to resource utilization. The proposed policy is evalu- ated on the iFogsim simulator and compared with the existing approach. The experimental results demonstrated that zero hour policy effectively minimizes execution time and loop delay of applications. Keywords Fog computing · Resource utilization · Latency · Framework · iFogSim 1 Introduction The Internet of Things (IoT) represents an environment that involves objects such as comput- ing machines, smart healthcare devices, vehicles, home appliances etc, connected via hetero- geneous networks. The Fog computing paradigm is blooming to support time-sensitive appli- cations related to the smart Internet of Things (IoT) services, such as smart healthcare and smart traffic management system. The recent market research reports presented the market * Heena Wadhwa heenakapila26@gmail.com; heena.it@cgc.edu.in Rajni Aron rajni3387@gmail.com 1 Lovely Professional University, Phagwara, India 2 Chandigarh Engineering College, Landran, Mohali, India 3 Data Science Department, SVKM’s Narsee Monjee Institute of Management Studies (NMIMS), Mumbai, Maharashtra, India