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Comparing Automatic Load Balancing Using VMware DRS with a Human Expert

机译:使用VMware Drs与人类专家进行自动负载平衡

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In recent years, there has been a rapid growth of interest in dynamic management of resources in virtualized systems. Virtualization provides great flexibility in terms of resource sharing but at the same time it also brings new challenges for load balancing using automatic migrations of virtual machines. In this paper, we have evaluated VMware's Distributed Resource Scheduler (DRS) in a number of realistic scenarios using multiple instances of a large industrial telecommunication application. We have measured the performance on the hosts before and after the migration in terms of CPU utilization, and compared DRS migrations with human expert migrations. According to our results, DRS with the most aggressive threshold gave us the best results. It could balance the load in 40% of cases while in other cases it could not balance the load properly. DRS did completely unnecessary migrations back and forth in some cases.
机译:近年来,对虚拟化系统的资源的动态管理有一种快速增长。虚拟化在资源共享方面提供了很大的灵活性,但同时它还使用自动迁移虚拟机来引起负载平衡的新挑战。在本文中,我们在使用大型工业电信应用程序的多个实例中评估了多个现实方案中的VMware的分布式资源调度程序(DRS)。在CPU利用率方面,我们在迁移之前和之后测量了主机上的性能,并将DRS迁移与人类专家迁移进行了比较。根据我们的结果,具有最具侵略性阈值的DRS给了我们最佳结果。它可以在40%的情况下平衡负载,而在其他情况下,它无法正常平衡负载。在某些情况下,博士在某些情况下完全不必要地迁移。

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