Nature Inspired Job Scheduling For E-Health Services In Mobile Cloud Computing

Mobile Cloud Computing (MCC) is a computational frame applied in E-health services for solving computational demands. A novel mechanism based on popular nature-inspired Particle Swarm Optimization (PSO) technique used for job scheduling on computational mobile clouds. The particle's velocity and position in PSO is drawn-out from real job scheduling values applied in the health care system. The proposed mechanism is to dynamically create a nature-inspired optimal job scheduling in E-health services for job completed within a minimum span of time and also resources utilization in an effective manner using the mobile cloud computing environment. A comparison of Genetic Algorithm (GA) and Variable Neighbourhood Search (VNS) with the proposed PSO algorithm was done for evaluating the performance. Empirical outcomes illustrate the importance of the proposed mechanism and have an ability to get a feasible and faster schedule with significant convergence speed.