资源有限的微云服务模型研究  

Study of Resource Limited Service Model of Cloudlets

作　　者：吴华鹏 刘渊[1] 陈飞[1] 

机构地区：[1]江南大学数字媒体学院,江苏无锡214122

出　　处：《计算机工程》2017年第12期25-29,37,共6页Computer Engineering

基　　金：中央高校基本科研业务费专项资金(JUSRP51614A);江苏省自然科学基金(BK20151131);江苏省自然科学基金青年基金(BK20160191)

摘　　要：微云是一种自我维持的小型云,通过均衡用户的访问请求来提高移动服务的整体性能,但在实际应用中分散的用户需求会随时间动态变化,而服务资源需要根据请求预测情况进行提前部署。为优化微云服务模型的整体资源利用率,基于排队论构造符合生灭过程的微云有限资源服务模型,对比微云上单队列和多队列模型的性能指标,得出单队列多虚拟内核模型在相同服务强度的情况下优于多队列单虚拟内核模型的结论。实验结果表明,在适当增加虚拟内核的情况下,该微云服务模型可以优化系统整体性能。Cloudlets are small self-maintained clouds. They improve the overall performance of mobile services through balancing user access requests. In practice, the dispersed user demand changes with time, and the service resources of cloudlets need to be deployed in advance according to the prediction of the required resources. Therefore, in order to optimize the overall performance of the system resource utilization, queuing theory is used to construct resource limited service model of cloudlets which fits in with the birth and death processes. Then, the comparison between single and multiple queues show that the single queue model with multiple virtual cores is better than the multi-queue model with single virtual core under the same service intensity. Experimental result showes that the service model of cloudlets can further optimize the overall system performance with the increase of the virtual cores.

关 键 词：微云 排队论 资源有限 服务模型 虚拟内核 

分 类 号：TP302[自动化与计算机技术—计算机系统结构]