A Novel Watchdog Fault-Detection Protocol for Compute First Networking

Liang Hong; Feng Li; Xu Fang-xin; Li Guang-cheng; Zhou Guo-xu

doi:10.12052/gdutxb.210107

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A Novel Watchdog Fault-Detection Protocol for Compute First Networking

更新时间：2026-05-27

- A Novel Watchdog Fault-Detection Protocol for Compute First Networking
- Vol. 38, Issue 6, Pages: 35-46(2021)
- 作者机构：
  
  1. 澳门科技大学资讯科技学院,澳门,999078
  2. 广东工业大学自动化学院,广东,广州,510006
  3. 粤港澳离散制造智能化联合实验室,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.210107
  CLC： TP399
- Online First：10 November 2021，
  
  Published：2021
- 稿件说明：
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梁轰, 冯丽, 徐方鑫, 李光程, 周郭许. 算力网络中一种新颖的看门狗故障检测协议[J]. 广东工业大学学报, 2021, 38(6): 35-46.

Liang Hong, Feng Li, Xu Fang-xin, et al. A Novel Watchdog Fault-Detection Protocol for Compute First Networking[J]. 2021, 38(6): 35-46.
梁轰, 冯丽, 徐方鑫, 李光程, 周郭许. 算力网络中一种新颖的看门狗故障检测协议[J]. 广东工业大学学报, 2021, 38(6): 35-46. DOI： 10.12052/gdutxb.210107.

Liang Hong, Feng Li, Xu Fang-xin, et al. A Novel Watchdog Fault-Detection Protocol for Compute First Networking[J]. 2021, 38(6): 35-46. DOI： 10.12052/gdutxb.210107.

摘要

算力网络(Compute First Networking

CFN)是最新的分布式框架

可根据计算负载和网络状态为边缘计算智能地分配计算资源。它要求实时了解本地或远程计算资源的可用状态。本文首次提出集中式故障检测协议CFN-Watchdog (简称为Watchdog)

它可以很好地满足CFN的要求并及时回收故障所占用的资源。然后

从理论上分析各种参数(如检测阈值、任务处理时间和网络延迟)对Watchdog性能的影响。大量的仿真实验验证了本文提出的协议的有效性和理论模型的准确性。这项研究有助于边缘计算的参数优化配置和设计更好的故障检测协议。

Abstract

Compute first networking (CFN) is a latest distributed framework that intelligently allocates computing resources for edge computing according to computing load and network status. It requires real-time visibility of available statuses of local or remote computing resources. To the best of our knowledge

thisis the first endeavor to propose a centralized fault-detection protocol called CFN-Watchdog to well meet this CFN requirement and timely recycle resources occupied by faults. The impact of various parameters (e.g.

detection thresholds

task processing time

and network delay) on the Watchdog performance is then theoretically analyzed. Extensive simulations verify the effectiveness of our proposed protocol and the accuracy of our theoretical model. This study is very helpful to optimize parameter configurations and better design fault-detection protocols for edge computing.

关键词

Keywords

references

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