Timeout threshold estimation algorithm in mimic multiple executors architecture

Delei NIE; Obo ZHA; Chong WANG; Xin WANG; Binghao YAN

doi:10.11959/j.issn.2096-109x.2018084

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Timeout threshold estimation algorithm in mimic multiple executors architecture

Papers | 更新时间：2024-06-03

- Timeout threshold estimation algorithm in mimic multiple executors architecture
- Chinese Journal of Network and Information Security Vol. 4, Issue 10, Pages: 68-76(2018)
- 作者机构：
  
  1. 天津市滨海新区科技和工业创新委员会，天津 300000
  2. 国家数字交换系统工程技术研究中心，河南郑州 450002
  3. 天津滨海新区信息技术创新中心，天津 300000
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2018084
  CLC： TP302.1
- Online First：2018-10，
  
  Published：15 October 2018
- 稿件说明：
移动端阅览
Delei NIE, Obo ZHA, Chong WANG, et al. Timeout threshold estimation algorithm in mimic multiple executors architecture[J]. Chinese Journal of Network and Information Security, 2018, 4(10): 68-76.
DOI：

Delei NIE, Obo ZHA, Chong WANG, et al. Timeout threshold estimation algorithm in mimic multiple executors architecture[J]. Chinese Journal of Network and Information Security, 2018, 4(10): 68-76. DOI： 10.11959/j.issn.2096-109x.2018084.

摘要

针对当前超时策略算法难以应对任务量起伏剧烈情况的问题，提出了一种应用于拟态防御架构系统的基于等效比例执行时间的超时阈值预测算法，利用拟态防御架构中多个功能等价执行体任务执行时间正相关的原理，预测任务执行时间并设置合理的超时阈值。仿真结果表明，所提算法能够针对不同任务情况动态地预测并设定超时阈值，有效地提高了超时判决效率，尤其适用于任务量变化剧烈的场景。

Abstract

Aiming at the problem that the current timeout strategy algorithm is difficult to cope with the violent situation of task volume

a timeout threshold prediction algorithm based on equivalent proportional execution time applied to the mimetic defense architecture system is proposed.The algorithm utilizes the principle that the execution time of multiple functional equivalent executable tasks in the mimetic defense architecture is positively related

predicts the task execution time and sets a reasonable timeout threshold.The simulation results show that the proposed algorithm can dynamically predict and set the timeout threshold for different task situations

which effectively improves the timeout judgment efficiency

especially for scenarios with dramatic changes in workload.

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references

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