Cloud computing is one of the foremost feature in Healthcare Services. It can be used to retrieve information about patients, their records related to diagnosing, treatment taken and other medical information in less amount of time. In this field choosing of an optimal VM is a challenging and more interesting in Healthcare services. The approach to choose the best optimal VM helps in increasing the performance of healthcare services thereby reducing the running time to execute the request. This paper propose a novel and enhanced version of PSO called Analogous Particle Swarm Optimization (APSO). The performance is compared with Genetic Algorithm and PSO. The evaluation is done by considering three parameters such as waiting time, utilization of CPU and turnaround time. The results clearly states that the APSO approach performs well when compared to other models. The overall execution time for each particle is computed as 1s and efficiency is seen to be improved by 5.6%.

Genetic algorithm, Healthcare Services, Particle Swarm Optimization