模糊控制理论对Web服务的QoS量化控制技术的研究

文章提出了一个两级控制的资源管理系统，可以动态地分配物理资源给虚拟服务器。对全局控制器提出了盈利和惩罚模式，其目标是获得最大化的资源利用效益；本地控制器的设计采用了模糊逻辑为基础的方法，在系统采样数据运行时自动建立和更新规则库，达到系统自主学习的目的，从而能更好的预测和控制本地的下一阶段中本地的资源需求。通过对Xen上CPU资源分配的控制Web服务器响应时间的实验，验证了模糊预测控制模型，理论和算法在资源分配中应用是可行性。本控制模型和算法可以推广应用于对其它资源的分配上。

Use of a Fuzzy Control Method Based on Quality of Web Services

This paper studies the concept of virtualization technology, a typical implementation and future development trends, especially details about QoS control study of the status quo of Web services. In addition, the article based on Xen virtualization platform has designed a virtual cluster resource management system program; it can forecast the application resource requirements better during adaptive resource allocation constraints control process based QoS, using fuzzy logic control approach. This design of resource allocation controller based on QoS-constrained also designs a rule base automatically created and updated algorithms, so that they can better predict and control the next phase of the local demand for local resources. The algorithm by calculating the importance of the rule dynamic updates the rule base in the rules, addressed the disadvantages as the rules have been established continued, the growing memory demand.The experiment indicate that control model has a more good control effect, in response to speed, convergence and stability with a good performance. The control model and algorithm can be applied to the control of the allocation of other resources.