Research on Terminal-Side Computing Force Network Based on Massive Terminals

Author:

Gu Jianhua,Feng Jianhua,Xu Huiyang,Zhou Ting

Abstract

With the explosive growth of the demand for computing power in the era of digital economy and the continuous enhancement of the computing power of terminals, how to provide high bandwidth, low-latency, and low-cost service by leveraging the user devices’ computing, storage, and network resources has become a research hotspot. However, due to differences in magnitude, architecture, and performance, the existing technologies for cloud computing and edge computing need to overcome many challenges such as android-based devices not supporting container technologies. In this paper, a terminal-side computing force network (TSCFN) architecture is proposed, which realizes the unified computing power management of massive user devices by layered and distributed architecture with highly dynamic and domain-federated deployments. At the same time, we propose a cloud-native container resource scheduling scheme based on the Android system to enhance the scalability of TSCFN. Taking the CDN service as a use case, the experiment results show that services provided by TSCFN can reduce latency and improve resource utilization, especially in an unstable network status. Compared with traditional CDN, delay duration of HomeCDN based on TSCFN is decreased by 96% in a bad network environment.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference26 articles.

1. Computing network: A new multi-access edge computing;Lei;Telecommun. Sci.,2019

2. White Paper on Computing Power Aware Network Technology,2019

3. Computing Force Network White Paper,2021

4. White Paper on Computing Network Architecture and Technology System;Institute,2020

5. Cloud Convergence 2030 Technology White Paper;Corporation,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Secure incentive mechanism for energy trading in computing force networks enabled internet of vehicles: a contract theory approach;The Journal of Supercomputing;2024-08-20

2. A Contract-Based Incentive Mechanism for Resources Trading in Computing Force Networks;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

3. Cross-domain Resource Scheduling of Computing Service Based on Particle Swarm Optimization;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04

4. A Survey of Compute First Networking;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3