Security-Aware Workflow Allocation Strategy for IaaS Cloud Environment

In last few decades, cloud computing has been established itself as a globally accepted platform even in security services needed in various domains having capacity to attain better performance. Security is emerging as an essential issue in IaaS cloud environment. The performance by reducing the number of failure tasks and average failure probability on cloud resources has been carried out in the domain of research to generate efficient schedule for virtual machines (VMs) allocation. Yet, the optimal schedule generation to process security-aware applications stands for a big challenge. So, many researchers have proposed various security-based models for the purpose and leaving scope for more models to be proposed because none of them is proven optimum in all respect. In this paper, a security-aware workflow allocation (SAWA) strategy has been proposed for workflow applications of tasks to machines mapping on cloud system by incorporating security overheads with aim of reduced number of failure tasks and average failure probability. It considers the security demand of tasks in the workflow and negotiating cipher suite between the tasks and machine in terms of security demand and trust level. The proposed strategy has been evaluated with comparative performance analysis to find the suitable place for it in the literature and established it better than its considered peer in the study.