A Cloud and IoT-enabled Workload-aware Healthcare Framework using Ant Colony Optimization Algorithm

In recent years, smart cities have gained in popularity due to their potential improve the quality of life for urban residents. many city services, particularly those field healthcare, big healthcare data is analyzed, processed, and shared real time. Products services related are essential industry's current state, which increases its viability all parties involved. With increasing cloud-based it imperative develop new approaches discovering selecting these services. This paper follows a two-stage process. The first step involves designing implementing an Internet-enabled system incorporating wearable devices. A load-balancing algorithm presented second stage, based on Ant Colony Optimization (ACO). ACO distributes tasks across virtual machines maximize resource utilization minimize makespan terms both time processing time, proposed method appears be more efficient than previous statistical analysis.