Resource management architecture and technology for coordination of computing and networking in satellite-Terrestrial integrated network

Xianfeng Liu, Yaqin Song, Hui Xu, Zihao Xiang, Hucheng Wang, Zhimi Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

With the development of computing capability onboard, satellite-Terrestrial integrated network presents characteristics such as large scale, complex topology, and heterogeneous and diverse resources, making it difficult to accurately adapt to the resource requirements of different services. This article analyses the diverse and heterogeneous computing and networking resources in satellite-Terrestrial integrated network, and presents an intelligent resource management and control architecture. This architecture aims to achieve intelligent collaborative management of multi-dimensional and multi-domain computing and networking resources in space and ground, and to provide resources for diverse scenarios as needed. Based on the proposed architecture, a knowledge space-based resource management mechanism is proposed to achieve deep integration of computing, data, algorithms, and networks, and to improve the effectiveness of resource orchestration. Meanwhile, a highly dynamic end-To-end network slicing management mechanism is presented to adapt to the differentiated needs and to provide on-demand network services for users. Finally, the experimental results showed that a dynamic deployment policy for the satellite-Terrestrial integrated network can be generated in just 1.3 seconds using the greedy algorithm to meet the computing and networking resource requirements of the service scenario on a scale of 20 satellites, which verified the rationality and effectiveness of the intelligent resource management architecture.

Original languageEnglish
Title of host publicationEighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manufacturing, APCOM and YSAOM 2023
EditorsXuejun Zhang, Xiaoyong Wang, Yifan Dai, Lingbao Kong, Dawei Zhang, Feng Gong, Lihua Li
PublisherSPIE
ISBN (Electronic)9781510672673
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event8th Asia Pacific Conference on Optics Manufacture, APCOM 2023 and 3rd International Forum of Young Scientists on Advanced Optical Manufacturing, YSAOM 2023 - Shenzhen, China
Duration: 4 Aug 20236 Aug 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12976
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference8th Asia Pacific Conference on Optics Manufacture, APCOM 2023 and 3rd International Forum of Young Scientists on Advanced Optical Manufacturing, YSAOM 2023
Country/TerritoryChina
CityShenzhen
Period4/08/236/08/23

Keywords

  • artificial intelligence
  • coordination of computing and networking
  • network slicing
  • resource management and control
  • satellite-Terrestrial integrated network

Fingerprint

Dive into the research topics of 'Resource management architecture and technology for coordination of computing and networking in satellite-Terrestrial integrated network'. Together they form a unique fingerprint.

Cite this