Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges
In the future, the tactical edge is far away from the command center, the resources of communication and computing are limited, and the battlefield situation is changing rapidly, which leads to the weak connection and fast changes of network topology in a harsh and complex battlefield environment. T...
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creator | Yang, Haigen Li, Gang Sun, GuiYing Chen, JinXiang Meng, Xiangxin Yu, HongYan Xu, Wenting Qu, Qiang Ying, Xiaokun |
description | In the future, the tactical edge is far away from the command center, the resources of communication and computing are limited, and the battlefield situation is changing rapidly, which leads to the weak connection and fast changes of network topology in a harsh and complex battlefield environment. Thus, to meet the needs of communication and computing to build a new generation of computing architecture for real-time sharing and service collaboration of tactical edge resources to win the future war, the dispersed computing (DCOMP) seeks a new solution to satisfy the requirements of fast and efficient sensing, transmission, integrating, scheduling, and processing of various information in the tactical edge. Through the research of a traditional computing paradigm of mobile cloud computing (MCC), fog computing (FC), mobile edge computing (MEC), mobile ad hoc network (MANET), etc., it can be found that these computations have difficulty in meeting the high changing and complex battlefield environment and we propose a novel architecture of DCOMP to build a scalable, extensible, and robust decision-making system, to realize powerful and secure communication, computing, storage, and information processing capabilities for the tactical edge. We illustrate the fundamental principles of building a network model, channel allocation, and forwarding control mechanism of the network architecture for DCOMP called DANET and then design a new architecture, programming model, task awareness, and computing scheduling for DCOMP. Finally, we discuss the main requirements and challenges of DCOMP in future wars. |
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Thus, to meet the needs of communication and computing to build a new generation of computing architecture for real-time sharing and service collaboration of tactical edge resources to win the future war, the dispersed computing (DCOMP) seeks a new solution to satisfy the requirements of fast and efficient sensing, transmission, integrating, scheduling, and processing of various information in the tactical edge. Through the research of a traditional computing paradigm of mobile cloud computing (MCC), fog computing (FC), mobile edge computing (MEC), mobile ad hoc network (MANET), etc., it can be found that these computations have difficulty in meeting the high changing and complex battlefield environment and we propose a novel architecture of DCOMP to build a scalable, extensible, and robust decision-making system, to realize powerful and secure communication, computing, storage, and information processing capabilities for the tactical edge. We illustrate the fundamental principles of building a network model, channel allocation, and forwarding control mechanism of the network architecture for DCOMP called DANET and then design a new architecture, programming model, task awareness, and computing scheduling for DCOMP. Finally, we discuss the main requirements and challenges of DCOMP in future wars.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2021/8899186</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Algorithms ; Armed forces ; Bandwidths ; Battlefields ; Cloud computing ; Communication ; Computer architecture ; Data processing ; Decision making ; Dispersion ; Edge computing ; Embedded systems ; Infrastructure ; Internet of Things ; Military policy ; Mobile ad hoc networks ; Mobile computing ; Network topologies ; R&D ; Research & development ; Scheduling ; Software ; Task scheduling ; Time sharing</subject><ispartof>Wireless communications and mobile computing, 2021, Vol.2021 (1)</ispartof><rights>Copyright © 2021 Haigen Yang et al.</rights><rights>Copyright © 2021 Haigen Yang et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-10b067a78c89b32d40addae537a66bcba13a129c46836496c1750a0913384d7a3</citedby><cites>FETCH-LOGICAL-c337t-10b067a78c89b32d40addae537a66bcba13a129c46836496c1750a0913384d7a3</cites><orcidid>0000-0003-2617-5127</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27902,27903,27904</link.rule.ids></links><search><contributor>Wan, Shaohua</contributor><contributor>Shaohua Wan</contributor><creatorcontrib>Yang, Haigen</creatorcontrib><creatorcontrib>Li, Gang</creatorcontrib><creatorcontrib>Sun, GuiYing</creatorcontrib><creatorcontrib>Chen, JinXiang</creatorcontrib><creatorcontrib>Meng, Xiangxin</creatorcontrib><creatorcontrib>Yu, HongYan</creatorcontrib><creatorcontrib>Xu, Wenting</creatorcontrib><creatorcontrib>Qu, Qiang</creatorcontrib><creatorcontrib>Ying, Xiaokun</creatorcontrib><title>Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges</title><title>Wireless communications and mobile computing</title><description>In the future, the tactical edge is far away from the command center, the resources of communication and computing are limited, and the battlefield situation is changing rapidly, which leads to the weak connection and fast changes of network topology in a harsh and complex battlefield environment. 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We illustrate the fundamental principles of building a network model, channel allocation, and forwarding control mechanism of the network architecture for DCOMP called DANET and then design a new architecture, programming model, task awareness, and computing scheduling for DCOMP. Finally, we discuss the main requirements and challenges of DCOMP in future wars.</description><subject>Algorithms</subject><subject>Armed forces</subject><subject>Bandwidths</subject><subject>Battlefields</subject><subject>Cloud computing</subject><subject>Communication</subject><subject>Computer architecture</subject><subject>Data processing</subject><subject>Decision making</subject><subject>Dispersion</subject><subject>Edge computing</subject><subject>Embedded systems</subject><subject>Infrastructure</subject><subject>Internet of Things</subject><subject>Military policy</subject><subject>Mobile ad hoc networks</subject><subject>Mobile computing</subject><subject>Network topologies</subject><subject>R&D</subject><subject>Research & development</subject><subject>Scheduling</subject><subject>Software</subject><subject>Task scheduling</subject><subject>Time sharing</subject><issn>1530-8669</issn><issn>1530-8677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>BENPR</sourceid><recordid>eNp90E1LAzEQBuAgCtbqzR8Q8GjXJpvdfHgr_VCh4KUqeAmz2bRN2WbXZBfx37ulxaOnGZiHd-BF6JaSB0rzfJySlI6lVIpKfoYGNGckkVyI87-dq0t0FeOOEMJ6PECfMxcbG6It8bTeN13r_Aav64BXYFpnoMLzcmOx83jRtV2w-ANCfMTvLrraj_AkmK1rrTmcRhh8n7KFqrJ-Y-M1ulhDFe3NaQ7R22K-mj4ny9enl-lkmRjGRJtQUhAuQEgjVcHSMiNQlmBzJoDzwhRAGdBUmYxLxjPFDRU5AaIoYzIrBbAhujvmNqH-6mxs9a7ugu9f6jQTkuVS0bRXo6MyoY4x2LVugttD-NGU6EN7-tCePrXX8_sj3zpfwrf7X_8CkZRtQA</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Yang, Haigen</creator><creator>Li, Gang</creator><creator>Sun, GuiYing</creator><creator>Chen, JinXiang</creator><creator>Meng, Xiangxin</creator><creator>Yu, HongYan</creator><creator>Xu, Wenting</creator><creator>Qu, Qiang</creator><creator>Ying, Xiaokun</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-2617-5127</orcidid></search><sort><creationdate>2021</creationdate><title>Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges</title><author>Yang, Haigen ; 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We illustrate the fundamental principles of building a network model, channel allocation, and forwarding control mechanism of the network architecture for DCOMP called DANET and then design a new architecture, programming model, task awareness, and computing scheduling for DCOMP. Finally, we discuss the main requirements and challenges of DCOMP in future wars.</abstract><cop>Oxford</cop><pub>Hindawi</pub><doi>10.1155/2021/8899186</doi><orcidid>https://orcid.org/0000-0003-2617-5127</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Armed forces Bandwidths Battlefields Cloud computing Communication Computer architecture Data processing Decision making Dispersion Edge computing Embedded systems Infrastructure Internet of Things Military policy Mobile ad hoc networks Mobile computing Network topologies R&D Research & development Scheduling Software Task scheduling Time sharing |
title | Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges |
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