Modeling the interrupt transmission process of SR-IOV cryptographic device

Lei SUN; Shuai LI; Songhui GUO

doi:10.11959/j.issn.2096-109x.2019007

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Modeling the interrupt transmission process of SR-IOV cryptographic device

Special Column:Technology Research and Application Exploration on Attack and Defense of Cryptology | 更新时间：2024-06-03

- Modeling the interrupt transmission process of SR-IOV cryptographic device
- Chinese Journal of Network and Information Security Vol. 5, Issue 1, Pages: 56-65(2019)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2019007
  CLC： TP302.7
- Online First：2019-02，
  
  Published：15 February 2019
- 稿件说明：
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Lei SUN, Shuai LI, Songhui GUO. Modeling the interrupt transmission process of SR-IOV cryptographic device[J]. Chinese Journal of Network and Information Security, 2019, 5(1): 56-65.
DOI：

Lei SUN, Shuai LI, Songhui GUO. Modeling the interrupt transmission process of SR-IOV cryptographic device[J]. Chinese Journal of Network and Information Security, 2019, 5(1): 56-65. DOI： 10.11959/j.issn.2096-109x.2019007.

摘要

SR-IOV密码设备在虚拟化环境下执行运算时会产生大量I/O中断，导致CPU在Root模式与Non-Root模式之间频繁切换，带来巨大的系统性能开销，影响SR-IOV密码设备的运算性能。针对该问题，对SR-IOV密码设备I/O中断进行建模分析，根据密码任务先到先服务的规则构建了M/M/1排队模型，分析了影响系统性能的关键因素，并通过仿真和实验测试验证了模型的有效性，最后对系统性能进行了测试与分析。结果表明，该模型能够定量分析中断频率对中断响应时间和系统队长的影响。

Abstract

The SR-IOV cryptographic device generates a large number of I/O interrupts when performing operations in a virtualized environment

causing the CPU to frequently switch between the Root mode and the Non-Root mode

which brings huge system performance overhead and affects the operational performance of SR-IOV cryptographic device.Aiming at this problem

the I/O interrupt of SR-IOV cryptographic device was analyzed

and a M/M/1 queuing model according to the cryptographic task first-come-first-served rules was constructed.What’s more

the key factors affecting system performance were analyzed

and the validity of the model via simulation and experiment was verified

and finally the system performance was tested.The results show that the model can quantitatively analyze the impact of the interrupt frequency on the interrupt response time and system queue length.

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references

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