Interpretive Structural Modeling Based Assessment and Optimization of Cloud with Internet of Things (CloudIoT) Issues Through Effective Scheduling

Integrated CloudIoT is an emerging field of study that integrates the Cloud and Internet Things (IoT) to make machines smarter deal with real-world objects in a distributed manner. It collects data from various devices analyses it increase efficiency productivity. Because IoT are complementary technologies distinct areas application, integrating them difficult. This paper identifies issues analyzes relational model. The Interpretive Structural Modeling (ISM) approach establishes interrelationship among problems identified. categorised based on driving dependent power, hierarchical model presented. ISM analysis shows scheduling important aspect has both (driving dependence) power improve performance Therefore, existing job algorithms analysed, cloud-centric mechanism proposed execute jobs suitable cloud. cloud implementation using open-source framework simulate Computing (CloudSim), job’s workload, Simulation results indicate better terms Average Waiting Time (AWT) makespan than cloud-based approaches.