Enhancing network function parallelism in mobile edge computing using Deep Reinforcement Learning

IF 4.1 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
DongYu Lu , Shirong Long
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引用次数: 0

Abstract

This paper introduces a Deep Reinforcement Learning (DRL)-based framework to enhance Network Function Parallelism (NFP) in Mobile Edge Computing (MEC). Leveraging Network Function Virtualization (NFV), the proposed framework optimizes service delay by solving a fairness-aware throughput maximization problem for service function chain placement. It aims to maximize the long-term cumulative reward while satisfying Quality of Service (QoS) requirements. The framework also preserves resources for future requests by efficiently managing the initialized network functions distribution. Simulation results demonstrate the superior performance of the proposed framework across various metrics. Specifically, our framework improves the average delay and deployment rate by 1.2% and 2.4% compared to the existing best method.
利用深度强化学习增强移动边缘计算中的网络功能并行性
本文介绍了一种基于深度强化学习(DRL)的框架来增强移动边缘计算(MEC)中的网络功能并行性(NFP)。利用网络功能虚拟化(NFV),提出的框架通过解决业务功能链放置的公平感知吞吐量最大化问题来优化服务延迟。它的目标是在满足服务质量(QoS)要求的同时最大化长期累积回报。该框架还通过有效地管理初始化的网络功能分布,为未来的请求保留资源。仿真结果证明了该框架在各种度量指标上的优越性能。具体而言,与现有的最佳方法相比,我们的框架将平均延迟率和部署率分别提高了1.2%和2.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ICT Express
ICT Express Multiple-
CiteScore
10.20
自引率
1.90%
发文量
167
审稿时长
35 weeks
期刊介绍: The ICT Express journal published by the Korean Institute of Communications and Information Sciences (KICS) is an international, peer-reviewed research publication covering all aspects of information and communication technology. The journal aims to publish research that helps advance the theoretical and practical understanding of ICT convergence, platform technologies, communication networks, and device technologies. The technology advancement in information and communication technology (ICT) sector enables portable devices to be always connected while supporting high data rate, resulting in the recent popularity of smartphones that have a considerable impact in economic and social development.
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