Cloud computing is an emerging distributed computing model that offers computational capability over internet. Cloud provides a huge level collection of powerful and scalable computational resources for computation and data-intensive large scale workflow deployment. For business as well as scientific applications, optimal scheduling of workflow is emerged as a major concern. Optimization of scheduling process leads to the reduction of execution time, cost, etc. So, this paper presents an enhanced recent ant-lion optimization (ALO) algorithm hybridized with popular particle swarm optimization (PSO) algorithm to optimize a workflow scheduling specifically for cloud. A security approach called Data Encryption Standard (DES) is used for encoding the cloud information while scheduling is carried out. The research aims to contribute an enhanced workflow scheduling more safely than the existing frameworks. Enhancement procedures are evaluated in terms of cost, load, and makespan. The simulation procedures are done by utilizing the CloudSim tool. The proposed hybrid optimization results contrasted with well-known existing approaches. The existing round-robin (RR), ALO and PSO methods are selected to compare and identify the potency of the proposed system. The outcomes indicated that the proposed technique minimizes the cost by 9.8% of GA-PSO, 10% of PSO, 20% of ALO, 30% of RR and 12% of GA. Load balancing and makespan of the proposed method reduces by 8% than GA-PSO, 10% than ALO, 20% than PSO, 35% than RR and 45% than GA. The energy consumption and reliability performance are also reasonably well.

云计算是一种新兴的分布式计算模型，可通过Internet提供计算功能。云提供了功能强大且可扩展的计算资源的大量集合，用于计算和数据密集型大规模工作流部署。对于商业以及科学应用而言，工作流的最佳调度已成为人们关注的主要问题。调度过程的优化导致执行时间，成本等的减少。因此，本文提出了一种增强的最新蚁群优化（ALO）算法，并结合了流行的粒子群优化（PSO）算法来优化针对云的工作流调度。执行调度时，一种称为数据加密标准（DES）的安全方法用于对云信息进行编码。该研究旨在比现有框架更安全地提供增强的工作流计划。增强程序将在成本，负载和有效期方面进行评估。仿真过程是通过使用CloudSim工具完成的。提出的混合优化结果与已知的现有方法形成对比。选择现有的轮询（RR），ALO和PSO方法来比较和确定所提出系统的效能。结果表明，所提出的技术将GA-PSO，9.8％的PSO，20％的ALO，30％的RR和12％的GA的成本最小化。所提出的方法的负载平衡和吞吐量比GA-PSO降低8％，比ALO降低10％，比PSO降低20％，比RR降低35％，比GA降低45％。能量消耗和可靠性性能也相当好。