Security prioritized multiple workflow allocation model under precedence constraints in cloud computing environment

In the last decade, cloud computing has become an effective and efficient service delivery platform to offer resources, innovation, and economies of scale on telecommunication networks. An allocation scheme without security constraints consideration may assign the high security-sensitive tasks onto the lower trustworthy machines. This would lead the performance deterioration. To address this issue, in this paper, a security-prioritized multiple workflow allocation (SPMWA) model is proposed by integrating the security-prioritized mapping scheme for Infrastructure-as-a-Service cloud computing environment. It is expected that incorporating a security-prioritized allocation scheme under precedence constraints will enhance the performance of workflow processing in risk-prone environments. In this model, more priority is given to tasks with high-security demand to get allocated onto the more trustworthy virtual machines during allocation to minimize the failure probability of the cloud system. The failure probability can be minimized by assigning the tasks on to the trustable virtual machines exhibiting sufficient trust level to minimize the number of task failures. The number of task failure, failure probability, and makespan have been computed for the comparative evaluation of the SPMWA. For performance comparison, the SPMWA model has been compared with state-of-the-art models from the literature having the same environment and objective. The experimental evaluation confirms the superior performance of the proposed model on account of the considered objective among its peers.