基于贝叶斯信任模型的资源调度策略

在科技迅速发展的今天,云平台正在迅速成为科学应用的重要平台.由于云平台下的节点资源数量非常多,显然他们有很多是不可靠的,这些节点会对EXE的执行和调度任务产生很大的影响.在本文中,受贝叶斯认知模型的启发和社会学的信任关系模型的引导,笔者首先提出了一种新的基于贝叶斯方法的认知信任模型,然后,将这种模型应用到资源调度系统中.理论分析和仿真实验证明,笔者提出的方法能有效的满足云计算对节点资源的信任要求,并且牺牲较少的时间成本,确保在一个相对安全的节点资源池中执行云计算任务.

RESOURCE SCHEDULING STRATEGY BASED ON BAYESIAN MODEL

In the rapid development of science and technology today, cloud platform is rapidly becoming an important platform for scientific applications. Due to the very large number of node resources under the cloud platform, it is clear there have been a lot of unreliable nodes. These nodes will have a huge impact on EXE execution and the scheduling task. Inspired by Bayesian cognitive model and sociological relationship of trust model, we first propose a new cognitive trust model based on Bayesian method. Then, we apply this model in the resource scheduling system. Theoretical analysis and simulation results show that the proposed method can effectively meet the trust cloud computing＇ s requirements. And it takes less time to ensure the implementation of cloud computing in a relatively safe node resource pool.