Job Scheduling in Cloud Environment based on Shuffled Frog Leaping Algorithm

In this research, an optimized cloud task scheduling algorithm based on shuffled frog leaping algorithm (SFLA) is proposed. The classic methods of scheduling tasks in operating systems and cloud environment are FCFS, SJF, RR, etc. but researchers consider the scheduling algorithms as an optimization problem to achieve better and stable results. In this work, the proposed method is implemented by CloudSim and compared to FCFS and ACO algorithms to prove the high performance and efficiency. The results show that our algorithm is running in lower time and make span in comparison with FCFS as a classic algorithm and ACO as an optimization problem .