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无服务器环境下基于DQN和用户意图的函数放置研究

徐东红 花旭

计算机应用研究2023,Vol.40Issue(12):3747-3753,3759,8.
计算机应用研究2023,Vol.40Issue(12):3747-3753,3759,8.DOI:10.19734/j.issn.1001-3695.2023.03.0143

无服务器环境下基于DQN和用户意图的函数放置研究

Research on function placement based on DQN and user intention in serverless environment

徐东红 1花旭1

作者信息

  • 1. 中国矿业大学计算机科学与技术学院,江苏徐州 221116||矿山数字化教育部工程研究中心,江苏徐州 221116
  • 折叠

摘要

Abstract

With the rapid development of serverless computing technology,serverless computing has attracted more and more users'attention with its pay-as-you-go,automatic extension and other features.Researchers are exploring serverless architec-tures for increasingly sophisticated edge computing systems.However,how to effectively place serverless functions in distribu-ted serverless systems and provide users with high-quality services is still an urgent problem in this field.This paper applied user intent-based DQN serverless function placement algorithm to solve the function placement problem in distributed serverless systems.The algorithm took user intention as the learning objective and used DQN algorithm to optimize function placement.Simulation experiments show that,the user intent-based DQN serverless function placement algorithm achieves significant re-duction in computing delay and placement cost.Compared with traditional methods,this algorithm can effectively meet the dif-ferent needs of users and achieve better function placement effect,and has higher adaptability and performance advantages in distributed serverless systems.

关键词

云计算/无服务器计算/深度强化学习/用户意图/函数放置

Key words

cloud computing/serverless computing/deep reinforcement learning/user intention/function placement

分类

信息技术与安全科学

引用本文复制引用

徐东红,花旭..无服务器环境下基于DQN和用户意图的函数放置研究[J].计算机应用研究,2023,40(12):3747-3753,3759,8.

基金项目

国家自然科学基金资助项目(61702405) (61702405)

OPPO研究资金资助项目(H7D220060) (H7D220060)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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