Measuring performance degradation of virtual machines based on the Bayesian network with hidden variables

作者：Hao, Jia; Zhang, Binbin^*; Yue, Kun^*; Wu, Hao; Zhang, Jixian

来源：International Journal of Communication Systems, 2018, 31(13): e3732.

DOI：10.1002/dac.3732

• Bayesian network
• hidden variable
• performance degradation measurement
• performance interference
• virtual machine

In the virtualized environment, multiple virtual machines (VMs) sharing the same physical host are vulnerable to resource competition, which may cause performance interference among VMs and thus lead to VM performance degradation. This paper focuses on measuring CPU, memory, I/O, and the overall VM performance degradation caused by the performance interference according to the properties in the runtime environment of VMs. To this end, we adopt Bayesian network (BN), as the framework for uncertainty representation and inference, and construct a VM property-performance BN (VPBN) with hidden variables, which represent the unobserved performance degradation of CPU, memory, and I/O, respectively. Then, we present the method to measure performance degradation of VMs by probabilistic inferences with the VPBN. Experimental results show the accuracy and efficiency of our method.

• 出版日期2018-9-10
• 单位云南大学