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Optimized Resource Allocation on Virtualized Non-Uniform I/O Architectures

Abstract : Nowadays, virtualization is a central element in data centers as it allows sharing server resources among multiple users across virtual machines (VM). These servers often follow a Non-Uniform Memory Access (NUMA) architecture, consisting of independent nodes with their own cache hierarchies and I/O controllers. In this work, we investigate the impact of such an architecture on network access. As network devices are typically connected to one particular NUMA node, this leads to a situation where device access on one node is faster than another. This phenomenon is called Non-Uniform I/O Access (NUIOA). This non-uniformity impacts the performance of I/O applications that are not executed on the correct NUMA node. In this paper, we are interested in NUIOA effects in virtualized environments. Our contribution in this work is twofold: 1) we thoroughly study the impact of NUIOA on application performance in VMs, and 2) we propose a resource allocation strategy for VMs that reduces the impact of NUIOA. We implemented our allocation strategy on the Xen hypervisor and carried out evaluations with well-known benchmarks to validate our strategy. The obtained results show that with our NUIOA allocation scheme, we can improve the performance of application in VMs by up to 20% compared to common allocation strategies.
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Contributor : Tu Dinh Ngoc Connect in order to contact the contributor
Submitted on : Monday, July 25, 2022 - 8:15:18 PM
Last modification on : Thursday, December 8, 2022 - 9:24:29 AM
Long-term archiving on: : Wednesday, October 26, 2022 - 7:42:17 PM


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Dinh Ngoc Tu, Boris Teabe Djomgwe, Daniel Hagimont, Georges da Costa. Optimized Resource Allocation on Virtualized Non-Uniform I/O Architectures. 22nd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022), May 2022, Taormina, Italy. pp.432-441, ⟨10.1109/CCGrid54584.2022.00053⟩. ⟨hal-03738261⟩



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