Title :
VMon: Monitoring and Quantifying Virtual Machine Interference via Hardware Performance Counter
Author :
Sa Wang;Wenbo Zhang;Tao Wang;Chunyang Ye;Tao Huang
Author_Institution :
Inst. of Software, Beijing, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
Virtualization greatly improves resource utilization in IaaS platforms, but it also introduces potential interference between virtual machines (VMs). For example, VMs may suffer from performance degradation, when they are located in one host and compete for sharing physical resources. Thus, how to efficiently monitor and quantify the VMs interference becomes a key challenge for IaaS providers. In this paper, we present Vmon, a system to transparently monitor and quantify the interference between VMs with the hardware performance counters (HPCs). By collecting the HPCs of different VMs and exploring the LLC miss rates within HPCs, Vmon analyzes the relationship between the LLC miss rates and VM performance degradation to predict the interference between different resource-intensive VMs, and mitigate the VMs interference. The experimental results show that Vmon predicts the performance degradation in the accuracy of more than 90% with less than 10% performance overhead.
Keywords :
"Degradation","Interference","Monitoring","Correlation","Benchmark testing","Hardware","Radiation detectors"
Conference_Titel :
Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th Annual
Electronic_ISBN :
0730-3157
DOI :
10.1109/COMPSAC.2015.14