Impact of Machine Virtualization on Timing Precision for Performance-critical Tasks

Karpov, Kirill; Федотова, И В; Siemens, Eduard

doi:10.1088/1742-6596/870/1/012007

Cited by 4 publications

(8 citation statements)

References 10 publications

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“…The median value does not extremely differ from the median values in idle mode. The same can be concluded for QEMU and VMware ESXi [1]. However, this type of load causes long tails on CCDF plot (figure 4), which shows significant influence on mean value.…”

Section: Cpubound Testbedsupporting

confidence: 69%

“…As expected, the best performance achieved on Host OS and the worst one is on Virtual Box virtualized OS. As for CCDF of QEMU and VMware ESXi, their results are mostly repeated results for Host OS, and not greater than System Call for Xen virtualized OS [1]. Virtual Box still shows worst results.…”

Section: Cpubound Testbedmentioning

confidence: 88%

“…This work is an extension of our previous paper [1], where QEMU and VMware ESXi hypervisors have been studied. In this paper the same analysis of Xen and Virtual Box virtualization environments will be provided.…”

Section: Related Workmentioning

confidence: 97%

“…The current paper is the extension of paper [1] with two new virtual environments: Citrix XenServer Host 7.0.0-125380c and Virtual Box 4.3.36. All hardware and software equipment, load types and methodologies are the same.…”

Section: Related Workmentioning

confidence: 99%

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Impact of Xen and Virtual Box Virtualization Environments on Timing Precision under Stressful Conditions

et al. 2018

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Sharing physical resources among virtual instances introduces time overhead in comparison with direct access to hardware. Such lag is not significant for most of the everyday tasks however it can influence much more in dealing with time-critical applications and especially in case of reliable network services. The purpose of this paper is to compare time overhead on timing operations such as time acquisition and sleep introduced by different virtualization environments: Xen, VMWare ESXi, QEMU. The current research focus to establish possibility of using such platforms in real-time applications with high resource utilization. In terms of present work, there are several load types to be used to simulate real conditions. Measurement performance includes different methods of time measurements and waiting operations. Considering results, the certain recommendations about timing mechanisms using different virtualization environment have been offered.

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Section: Cpubound Testbedsupporting

confidence: 69%

Section: Cpubound Testbedmentioning

confidence: 88%

Section: Related Workmentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Impact of Xen and Virtual Box Virtualization Environments on Timing Precision under Stressful Conditions

et al. 2018

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“…As a matter of fact, keeping high time precision of control algorithms and meeting soft real-time requirements is a complex problem on modern multi-purpose operating systems such as Linux. This task is becoming even more challenging under virtual environments which require efficient access to the physical platform through the software middleware of the hypervisor or host operating system [3][4][5]. Thus, timing operations used by the applications are usually dependent on certain software layers in the operating system.…”

mentioning

confidence: 99%

Impact of Modern Virtualization Methods on Timing Precision and Performance of High-Speed Applications

et al. 2019

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The presented work is a result of extended research and analysis on timing methods precision, their efficiency in different virtual environments and the impact of timing precision on the performance of high-speed networks applications. We investigated how timer hardware is shared among heavily CPU- and I/O-bound tasks on a virtualized OS as well as on bare OS. By replacing the invoked timing methods within a well-known application for estimation of available path bandwidth, we provide the analysis of their impact on estimation accuracy. We show that timer overhead and precision are crucial for high-performance network applications, and low-precision timing methods usage, e.g., the delays and overheads issued by virtualization result in the degradation of the virtual environment. Furthermore, in this paper, we provide confirmation that, by using the methods we intentionally developed for both precise timing operations and AvB estimation, it is possible to overcome the inefficiency of standard time-related operations and overhead that comes with the virtualization. The impacts of negative virtualization factors were investigated in five different environments to define the most optimal virtual environment for high-speed network applications.

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Research on Global Clock Synchronization Mechanism in Software‐Defined Control Architecture

Lyu

DAI²,

MA³

et al. 2022

Chinese J of Electronics

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Adopt software‐definition technology to decouple the functional components of the industrial control system (ICS) in a service‐oriented and distributed form is an important way for the industrial Internet of things to integrate information technology, communication technology, and operation technology. Therefore, this paper presents the concept of software‐defined control architecture and describes the time consistency requirements under the paradigm shift of ICS architecture. By analyzing the physical clock and virtual clock mechanism models, the global clock synchronization space is logically divided into the physical and virtual clock synchronization domains, and a formal description of the global clock synchronization space is proposed. According to the fundamental analysis of the clock state model, the physical clock linear filtering synchronization model is derived, and a distributed observation fusion filtering model is constructed by considering the two observation modes of the virtual clock to realize the time synchronization of the global clock space by way of timestamp layer‐by‐layer transfer and fusion estimation. Finally, the simulation results show that the proposed model can significantly improve the accuracy and stability of clock synchronization.

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Impact of Machine Virtualization on Timing Precision for Performance-critical Tasks

Cited by 4 publications

References 10 publications

Impact of Xen and Virtual Box Virtualization Environments on Timing Precision under Stressful Conditions

Impact of Xen and Virtual Box Virtualization Environments on Timing Precision under Stressful Conditions

Impact of Modern Virtualization Methods on Timing Precision and Performance of High-Speed Applications

Research on Global Clock Synchronization Mechanism in Software‐Defined Control Architecture

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