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Comparing Automatic Load Balancing Using VMware DRS with a Human Expert

机译:使用VMware DRS与人工专家比较自动负载平衡

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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,对虚拟化系统中资源的动态管理的兴趣迅速增长。虚拟化在资源共享方面提供了极大的灵活性,但同时也给使用虚拟机自动迁移的负载平衡带来了新的挑战。在本文中,我们已经使用大型工业电信应用程序的多个实例在许多实际场景中评估了VMware的分布式资源调度程序(DRS)。我们已经测量了迁移前后主机在CPU利用率方面的性能,并将DRS迁移与人工专家迁移进行了比较。根据我们的结果,具有最严格的阈值的DRS给了我们最好的结果。它可以在40%的情况下平衡负载,而在其他情况下,则不能适当地平衡负载。在某些情况下,DRS进行了完全不必要的来回迁移。

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