Cloud computing is an emerging technology in the field of service oriented computing and software engineering. Security is a critical issue in cloud environment as it possess huge amount of data. In this circumstance, scheduling has become a challengeable mechanism and to utilize the resources in a secure manner we proposed a new metaheuristic algorithm called Lion algorithm (LA). In this paper, the scheduling problems are submitted to solve by eleven algorithms namely Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Optimisation with Differential Evolution (DEopt), Firefly Algorithm (FA), LA, Artificial Bee Colony (ABC), Glowworm Swarm Optimization (GSO), Bacterial Foraging Optimization (BFO), Gravitational Search Algorithm (GSA), Ant Lion Optimizer (ALO) and Cuckoo Search (CS) algorithm. Then the performances of the entire algorithms are compared with LA in terms of its cost function. The final result of convergence analysis and statistical analysis reported that LA has better convergence property and it possess better statistical metric values such as best, worst, mean, median and standard deviation than all the ten algorithms.
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