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Space Cloud-Fog Computing: Architecture, Application and Challenge

Published: 22 October 2019 Publication History

Abstract

With the development of space technology, it is an inevitable trend to build a flexible and efficient computing system for space-based information network. Traditional limited computing in single satellite cannot meet the increasing needs and cannot make effective use of the resources. This paper proposes a space-based cloud-fog computing architecture, which applies cloud-fog computing system to the space-based information network, and then we introduce the deployment of the architecture, and describe its typical application. At last, we analyze the challenges and future development of space cloud-fog computing.

References

[1]
W. Chen, X. Zhang, P. Deng, Y. Gong, and H. Wu (2017). RSN: A space-based backbone network architecture based on space-air-ground integrated network. in 2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN), 798--803.
[2]
T. Rossi, M. D. Sanctis, E. Cianca, C. Fragale, M. Ruggieri, and H. Fenech(2015). Future space-based communications infrastructures based on High Throughput Satellites and Software Defined Networking. in 2015 IEEE International Symposium on Systems Engineering (ISSE), 332--337.
[3]
T. M. Lovelly et al(2014). A framework to analyze processor architectures for next-generation on-board space computing. in 2014 IEEE Aerospace Conference, 1--10.
[4]
F. Bonomi(2012). Fog Computing and its Role in the Internet of Things. in Edition of the Mcc Workshop on Mobile Cloud Computing, 13--16.
[5]
P. Mach and Z. Becvar(2017). Mobile Edge Computing: A Survey on Architecture and Computation Offloading, IEEE Communications Surveys & Tutorials, vol. 19, no. 3, 1628--1656.
[6]
C. Song et al(2019). Hierarchical Edge Cloud Enabling Network Slicing for 5G Optical Fronthaul. J Opt Commun Netw, vol. 11, no. 4, B60-B70
[7]
Y. Chen, Y. Chang, C. Chen, Y. Lin, J. Chen, and Y. Chang(2017). Cloud-fog computing for information-centric Internet-of-Things applications. in 2017 International Conference on Applied System Innovation (ICASI), 637--640.
[8]
A. M. Khan and F. Freitag(2017). On Edge Cloud Service Provision with Distributed Home Servers. in 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 223--226.
[9]
S. Zahoor, N. Javaid, A. Khan, B. Ruqia, F. J. Muhammad, and M. Zahid(2018). A Cloud-Fog-Based Smart Grid Model for Efficient Resource Utilization. in 2018-14th International Wireless Communications & Mobile Computing Conference (IWCMC), 1154--1160.
[10]
Y. Wang, Z. Ren, H. Zhang, X. Hou, and Y. Xiao(2018). Combat Cloud-Fog Network Architecture for Internet of Battlefield Things and Load Balancing Technology. in 2018 IEEE International Conference on Smart Internet of Things (SmartIoT), 263--268.
[11]
J. Hu, H. Xu, T. Li, T. Liu, and H. Yang(2018). Discussion on Networked and Integrated Space-Ground Information System. Singapore, Springer Singapore, 3--21.
[12]
L. Yan et al(2019). SatEC: A 5G Satellite Edge Computing Framework Based on Microservice Architecture. Sensors, vol. 19, no. 4, p. 831.
[13]
Z. Zhang, W. Zhang, and F. Tseng(2019). Satellite Mobile Edge Computing: Improving QoS of High-Speed Satellite-Terrestrial Networks Using Edge Computing Techniques. Ieee Network, vol. 33, no. 1, 70--76.
[14]
R. Ricart-Sanchez, P. Malagon, P. Salva-Garcia, E. C. Perez, Q. Wang, and J. M. A. Calero(2018). Towards an FPGA-Accelerated programmable data path for edge-to-core communications in 5G networks. Journal of Network and Computer Applications, Article vol. 124, 80--93.
[15]
S. Aulbach, T. Grust, D. Jacobs, A. Kemper, and J. Rittinger(2008). Multi-tenant databases for software as a service: schema-mapping techniques. presented at the Proceedings of the 2008 ACM SIGMOD international conference on Management of data, Vancouver, Canada.
[16]
J. Liang, J. Bi, Y. Zhou, and C. Zhang(2018). In-band Network Function Telemetry. presented at the Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos, Budapest, Hungary.

Cited By

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  • (2024)Energy-Efficient Computation Peer Offloading in Satellite Edge Computing NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2023.326980123:4(3077-3091)Online publication date: Apr-2024
  • (2024)Cost-Effective Hybrid Computation Offloading in Satellite-Terrestrial Integrated NetworksIEEE Internet of Things Journal10.1109/JIOT.2024.342478211:22(36786-36800)Online publication date: 15-Nov-2024
  • (2023)Space-based Computing ChallengesAIAA SCITECH 2023 Forum10.2514/6.2023-2708Online publication date: 16-Jan-2023
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Other conferences
CSAE '19: Proceedings of the 3rd International Conference on Computer Science and Application Engineering
October 2019
942 pages
ISBN:9781450362948
DOI:10.1145/3331453
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2019

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Author Tags

  1. Cloud-fog computing system
  2. Edge Computing
  3. Space-based information network
  4. Virtualization

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • The National Natural Science Foundation of China
  • The Research Fund of The manned space engineering

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CSAE 2019

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Overall Acceptance Rate 368 of 770 submissions, 48%

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Cited By

View all
  • (2024)Energy-Efficient Computation Peer Offloading in Satellite Edge Computing NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2023.326980123:4(3077-3091)Online publication date: Apr-2024
  • (2024)Cost-Effective Hybrid Computation Offloading in Satellite-Terrestrial Integrated NetworksIEEE Internet of Things Journal10.1109/JIOT.2024.342478211:22(36786-36800)Online publication date: 15-Nov-2024
  • (2023)Space-based Computing ChallengesAIAA SCITECH 2023 Forum10.2514/6.2023-2708Online publication date: 16-Jan-2023
  • (2023)Management and Orchestration of Edge Computing for IoT: A Comprehensive SurveyIEEE Internet of Things Journal10.1109/JIOT.2023.324561110:16(14307-14331)Online publication date: 15-Aug-2023
  • (2022)Mobile Edge Computing in Space-Air-Ground Integrated Networks: Architectures, Key Technologies and ChallengesJournal of Sensor and Actuator Networks10.3390/jsan1104005711:4(57)Online publication date: 22-Sep-2022
  • (2020)SatEdgeSim: A Toolkit for Modeling and Simulation of Performance Evaluation in Satellite Edge Computing Environments2020 12th International Conference on Communication Software and Networks (ICCSN)10.1109/ICCSN49894.2020.9139057(307-313)Online publication date: Jun-2020

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