针对现有实例密集型云工作流调度方法未考虑安全需求及未引入实例的不足,构建了相应的调度模型,并通过借鉴信任管理的思想,提出基于用户信任度的工作流实例方面处理策略以及一种安全与成本感知的实例密集型云工作流调度算法(SC-ICW)。该算法可在满足截止时间与安全需求约束的前提下优化执行成本,并减少实例方面处理可能引发的安全风险。通过仿真实验说明了该算法的有效性。
To overcome the shortcomings in existing scheduling methods for instance-intensive cloud workflow, a scheduling model that considered security requirements and instance-aspect handling of workflows was constructed. The instance-aspect handling strategy among concurrent workflow was proposed based on user's trust degree. A security and cost aware scheduling algorithm for instance-intensive cloud workflows named SC-ICW was designed, which could meet the security requirements under the deadline constraint and reduce the cost and security risks involved in the instance-aspect handling of workflows. The effectiveness of proposed algorithm was illustrated with simulation experiments.