Hybrid Resources Allocation Algorithm for Clinical Monitoring System

Abstract

One of the most significant technologies that businesses currently rely on is cloud computing. Cloud computing has emerged as a critical need that cannot be ignored. From this moment on, cloud computing advancement was evaluated by enhancing efficiency and resolving issues. In this paper, the problem of resource allocation was reviewed. Cloud computing resources have a role in scheduling incoming tasks on existing resources and exploiting them optimally, as clients need more sharing resources and on-demand services, a hybrid particle swarm optimization and tabu search algorithms (PSO-TS) is proposed to allocate tasks to resources in healthcare originations, which aims to reduce the cost and makespan over the homogeneous resources in cloud computing environment, results shows a decrease of the average completion time and cost needed for execution these tasks and reduce the makespan for scheduling algorithms in comparison with FCFS, SJF, RR, and PSO algorithms, as well as, the results are improved with the proposed hybrid algorithm which shows faster solution and higher quality and energy efficient compared to other algorithms.