Resource allocation for multi-tier web appli- cations in virtualization environments is one of the most important problems in autonomous computing. On one hand, the more resources that are provisioned to a multi- tier...Resource allocation for multi-tier web appli- cations in virtualization environments is one of the most important problems in autonomous computing. On one hand, the more resources that are provisioned to a multi- tier web application, the easier it is to meet service level objectives （SLO）. On the other hand, the virtual machine which hosts the multi-tier web application needs to be consolidated as much as possible in order to maintain high resource utilization. This paper presents an adaptive resource controller which consists of a feedback utiliza- tion controller and an auto-regressive and moving average model （ARMA）-based model estimator. It can meet application-level quality of service （QoS） goals while achieving high resource utilization. To evaluate the proposed controllers, simulations are performed on a testbed simulating a virtual data center using Xen virtual machines. Experimental results indicate that the control- lers can improve CPU utilization and make the best trade- off between resource utilization and performance for multi-tier web applications.展开更多
文摘Resource allocation for multi-tier web appli- cations in virtualization environments is one of the most important problems in autonomous computing. On one hand, the more resources that are provisioned to a multi- tier web application, the easier it is to meet service level objectives （SLO）. On the other hand, the virtual machine which hosts the multi-tier web application needs to be consolidated as much as possible in order to maintain high resource utilization. This paper presents an adaptive resource controller which consists of a feedback utiliza- tion controller and an auto-regressive and moving average model （ARMA）-based model estimator. It can meet application-level quality of service （QoS） goals while achieving high resource utilization. To evaluate the proposed controllers, simulations are performed on a testbed simulating a virtual data center using Xen virtual machines. Experimental results indicate that the control- lers can improve CPU utilization and make the best trade- off between resource utilization and performance for multi-tier web applications.
