云计算中多QoS调度机制研究

云计算的作为分布式系统中的一种新的服务配置模式,鼓励研究人员在科学应用时探讨其利弊.云资源的动态变化给资源管理带来了很大的困难.在云计算环境中的调度工作中使用一个分割负载理论（DLT）设计有效的策略来最小化总的处理时间,处理器是负载均衡的,推导出一个封闭形式的解决方案将负载分段分配给每个处理器.以这种方式进行工作调度使得云提供商可以获得最大的服务效益并满足客户的服务质量（QoS）需求.最后,通过严格的仿真研究量化该策略的性能.

Research on Cloud Model with QoS Applied to Webucation

The advent of cloud computing as a new model of service in distributed systems,encourages researchers to investigate its benefits and drawbacks in scientific applications.The dynamic of cloud resource makes resource allocation more difficult.In this research,we attempt to investigate the use of a Divisible Load Theory （DLT） to design efficient strategies to minimize the overall processing time for scheduling jobs in compute cloud environments.We consider homogeneous processors in our analysis and we derive a closed-form solution for the load fractions to be assigned to each processor.Our analysis also attempts to schedule the jobs such a way that cloud provider can gain maximum benefit for his service and Quality of Service （QoS） requirement user＇s job.Finally,we quantify the performance of the strategies via rigorous simulation studies.