以社会学中的人际关系信任模型为基础,提出了一种基于服务消费者的服务满意度评价、推荐者的服务推荐和第三方服务性能反馈的可信度量模型。将用户对服务资源的信任需求和服务资源的可信度并入DLS算法得到可信动态级调度算法CTDLS,从而在计算调度级别时考虑服务资源的可信程度。模拟实验表明,该算法能有效满足任务在信任方面的服务质量需求,对提高任务调度的成功率具有实际意义。
Based on interpersonal trust model in sociology, a trust evaluation model is proposed based on users' past ex- perience with service provider, friends' recommendations and third party's feedback. By combining users' trust require- ment for service resource together with trust degree of service resource and dynamic level scheduling(DLS) algorithm, a novel scheduling algorithm was proposed that was called trust-aware dynamic level scheduling algorithm in cloud environment(CTDLS).The algorithm takes the cloud service resources' trust degree into account when calculates the scheduling-level of task-resource pairs. The simulation experimental results show that such algorithms can effectively satisfy the tasks' trust requirement and improve the success rate of parallel tasks scheduling in practice.