A Deep Deterministic Policy Gradient-Based Method for Enforcing Service Fault-Tolerance in MEC

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外文摘要：Mobile edge computing(MEC)provides edge services to users in a distributed and on-demand way.Due to the heterogeneity of edge applications,deploying latency and resource-intensive applications on resource-constrained devices is a key challenge for service providers.This is especially true when underlying edge infrastruc-tures are fault and error-prone.In this paper,we propose a fault tolerance approach named DFGP,for enforcing mobile service fault-tolerance in MEC.It synthesizes a generative optimization network(GON)model for predicting resource failure and a deep deterministic policy gradient(DDPG)model for yielding preemptive migration decisions.We show through extensive simulation experiments that DFGP is more effective in fault detection and guaranteeing quality of service,in terms of fault detection accuracy,migration efficiency,task migration time,task scheduling time,and energy consumption than other existing methods.

外文关键词：

Mobile edge computingServiceGenerative optimization networkFault toleranceDeep deter-ministic policy gradient

作者：

Tingyan LONG、Peng CHEN、Yunni XIA、Yong MA、Xiaoning SUN、Jiale ZHAO、Yifei LYU

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作者单位：

College of Computer Science,Chongqing University,Chongqing 400044,China

School of Computer and Software Engineering,Xihua University,Chengdu 610039,China

School of Computer and Information Engineering,Jiangxi Normal University,Nanchang 330022,China

School of Computer and Information Science,Chongqing Normal University,Chongqing 401331,China

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基金：

National Key R&D Program of ChinaChongqing Technological Innovation FoundationsChongqing Technological Innovation FoundationsChongqing Key RD ProjectJiangxi Key RD ProjectPostgraduate Research and Innovation Project of ChongqingGraduate Research and Innovation Foundation of ChonggingTechnological Program Organized by SGCCTechnology Innovation and Application Development Foundation of Chongqing

项目编号：

2018YFB1403602cstc2019jscxmsxm0652cstc2019jscxfxyd0385cstc2018jszxcyzdX008120181ACE50029CYB22064CYS2211252094020000Ucstc2020jscxgksbX0010

出版年：

2024

DOI：

10.23919/cje.2023.00.105

电子学报(英文)

CSTPCDEI

ISSN：1022-4653

年,卷(期)：2024.33(4)

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