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Research on the Development of Key Technologies of Tactical Edge Cloud

Published: 08 March 2022 Publication History

Abstract

In view of the current situation that the traditional centralized cloud service architecture cannot meet the high requirements of tactical edge for data processing and storage, this paper introduces an emerging tactical cloud service model——tactical edge cloud, and summarizes the status quo of technology development around two key aspects: tactical edge cloud architecture design and computing offloading, and finally related problems to be solved are put forward to provide reference for the development of cloud service architecture of tactical edge.

References

[1]
Tortonesi M, Stefanelli C, Benvegnu E, Multiple-UAV coordination and communications in tactical edge networks[J]. Communications Magazine IEEE, 2012, 50(10):48-55.
[2]
Takai T. Department of Defense mobile device strategy [J]. Department of Defense, Washington, DC, 2012.
[3]
Xiao W H, Liu B X, Liu W, Cheng Gang, WANG Yue-Hua. A survey of edge computing under harsh environments[J]. Journal of Command and Control, 2019, 5(3): 181-190.
[4]
Lewis G, Echeverría S, Simanta S, Tactical cloudlets: Moving cloud computing to the edge[C]//2014 IEEE Military Communications Conference. IEEE, 2014: 1440-1446.
[5]
Simanta S, Lewis G A, Morris E, Cloud computing at the tactical edge[R].CARNEGIE-MELLON UNIV PITTSBURGH PASOFTWARE ENGINEERING INST, 2012.
[6]
Khoshgoftar M A. Tactical HPC: scheduling high performance computers in a geographical region[D]. Georgia Institute of Technology, 2016.
[7]
Sridharan V, Motani M, Jalaian B, Exploring Performance Trade-offs in Tactical Edge Networks[J]. IEEE Communications Magazine, 2020, 58(8): 28-33.
[8]
Xiong H, Pei B. Application of SDN Architecture in Military Communication Core Networks[J]. Journalof Command and Control, 2018, 4(3): 249−254.
[9]
Phemius K, Seddar J, Bouet M, Bringing SDN to the edge of tactical networks[C]// Military Communications Conference. IEEE, 2016:1047-1052.
[10]
Chekired D A, Khoukhi L . Distributed SDN-Based C4ISR Communications: A Delay-Tolerant Network for Trusted Tactical Cloudlets[C]// 2019 International Conference on Military Communications and Information Systems (ICMCIS). IEEE, 2019.
[11]
Tang S C, Li N C, Yu Y, Design of Information Resource Service Architecture for Naval Tactical Cloud[J] . Naval Electronic Engineering, 2019,39(002) : 103-109.
[12]
Guan D L, Hou J. Research on the Application of Decentralized Architecture of Military Information System[J]. Naval Electronic Engineering, 2020,040(003) : 6-10.
[13]
Chen M, Hao Y. Task offloading for mobile edge computing in software defined ultra-dense network[J]. IEEE Journal on Selected Areas in Communications, 2018, 36(3): 587-597.
[14]
ElgazzaR K, Martin P, HassaneiN H S. Cloud-assisted computation offloading to support mobile services[J]. IEEE Transactions on Cloud Computing, 2014, 4(3): 279-292.
[15]
Zhou B, Vahid D A, Calheiros R, mCloud: A Context-Aware Offloading Framework for Heterogeneous Mobile Cloud[J]. IEEE Transactions on Services Computing, 2017:1-1.
[16]
Mao Y, Zhang J, Letaief K B. Dynamic computation offloading for mobile-edge computing with energy harvesting devices[J]. IEEE Journal on Selected Areas in Communications, 2016, 34(12): 3590-3605.
[17]
Meng H, Chao D, Guo Q, Delay-sensitive Task Scheduling with Deep Reinforcement Learning in Mobile-edge Computing Systems[C]//Journal of Physics: Conference Series. IOP Publishing, 2019, 1229(1): 012059.
[18]
Wei F, Chen S, Zou W. A greedy algorithm for task offloading in mobile edge computing system[J]. China Communications, 2018, 15(11): 149-157.
[19]
XUE J B, DING X Q, LIU X X. Offloading Decision and Resource Optimization for Cache-Assisted Edge Computing[J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(3): 32-37.
[20]
Munoz O, Pascual I A, Vidal J. Optimization of radio and computational resources for energy efficiency in latency-constrained application offloading[J]. IEEE Transactions on Vehicular Technology, 2014, 64(10): 4738-4755.
[21]
Gu B, Zhou Z. Task offloading in vehicular mobile edge computing: A matching-theoretic framework[J]. IEEE Vehicular Technology Magazine, 2019, 14(3): 100-106.
[22]
Yan J, Bi S, Huang L, Deep Reinforcement Learning Based Offloading for Mobile Edge Computing with General Task Graph[C]// ICC 2020 - 2020 IEEE International Conference on Communications (ICC). IEEE, 2020.
[23]
Lu H, Gu C, Luo F, Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning[J]. Future Generation Computer Systems, 2020, 102:847-861.
[24]
Wang J, Zhao L, Liu J, Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach[J]. IEEE Transactions on Emerging Topics in Computing, 2019:1-1.
[25]
Shan N, Cui X L, Gao Z Q. “DRL+ FL”: An intelligent resource allocation model based on deep reinforcement learning for Mobile Edge Computing[J]. Computer Communications, 2020.
[26]
Yin J, Guan X, Bai G. Task Offloading and Cooperative Load Balancing Mechanism Based on Mobile Edge Computing[J] . Computer Science, 2019,046(012) : 126-13.

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ICISE '21: Proceedings of the 6th International Conference on Information Systems Engineering
November 2021
110 pages
ISBN:9781450385220
DOI:10.1145/3503928
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 the author(s) 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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Published: 08 March 2022

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Author Tags

  1. Cloud architecture
  2. Computing offloading
  3. Tactical edge cloud

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