On-demand intelligent routing technology for deterministic network
Deterministic network needs to ensure the deterministic transmission requirements of different applications in terms of delay, packet loss rate, jitter, throughput, and reliability.In response to the differentiated and deterministic network transmission requirements of applications, an on-demand int...
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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2021-11-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021245/ |
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author | Zhongli WU Yuanyuan CAO Wenrui HUANG Bin DAI Yijun MO |
author_facet | Zhongli WU Yuanyuan CAO Wenrui HUANG Bin DAI Yijun MO |
author_sort | Zhongli WU |
collection | DOAJ |
description | Deterministic network needs to ensure the deterministic transmission requirements of different applications in terms of delay, packet loss rate, jitter, throughput, and reliability.In response to the differentiated and deterministic network transmission requirements of applications, an on-demand intelligent routing framework OdR for deterministic network was proposed.Under the OdR framework, an on-demand intelligent routing algorithm named OdR-TD3 based on deep reinforcement learning was proposed, which generates routing strategies based on the deterministic QoS requirements of application traffic, to satisfy the applications’ requirements of deterministic network.The experimental evaluation results show the OdR-TD3 algorithm has a significant advantage over the DV algorithm and the SPF algorithm in terms of the achievement rate of deterministic QoS requirements. |
format | Article |
id | doaj-art-a1aa69db5f9447fdbc44599e933613cd |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2021-11-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-a1aa69db5f9447fdbc44599e933613cd2025-01-15T03:33:00ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-11-0137111659815769On-demand intelligent routing technology for deterministic networkZhongli WUYuanyuan CAOWenrui HUANGBin DAIYijun MODeterministic network needs to ensure the deterministic transmission requirements of different applications in terms of delay, packet loss rate, jitter, throughput, and reliability.In response to the differentiated and deterministic network transmission requirements of applications, an on-demand intelligent routing framework OdR for deterministic network was proposed.Under the OdR framework, an on-demand intelligent routing algorithm named OdR-TD3 based on deep reinforcement learning was proposed, which generates routing strategies based on the deterministic QoS requirements of application traffic, to satisfy the applications’ requirements of deterministic network.The experimental evaluation results show the OdR-TD3 algorithm has a significant advantage over the DV algorithm and the SPF algorithm in terms of the achievement rate of deterministic QoS requirements.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021245/deterministic networkdeep reinforcement learningon-demand intelligent routingquality of service |
spellingShingle | Zhongli WU Yuanyuan CAO Wenrui HUANG Bin DAI Yijun MO On-demand intelligent routing technology for deterministic network Dianxin kexue deterministic network deep reinforcement learning on-demand intelligent routing quality of service |
title | On-demand intelligent routing technology for deterministic network |
title_full | On-demand intelligent routing technology for deterministic network |
title_fullStr | On-demand intelligent routing technology for deterministic network |
title_full_unstemmed | On-demand intelligent routing technology for deterministic network |
title_short | On-demand intelligent routing technology for deterministic network |
title_sort | on demand intelligent routing technology for deterministic network |
topic | deterministic network deep reinforcement learning on-demand intelligent routing quality of service |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021245/ |
work_keys_str_mv | AT zhongliwu ondemandintelligentroutingtechnologyfordeterministicnetwork AT yuanyuancao ondemandintelligentroutingtechnologyfordeterministicnetwork AT wenruihuang ondemandintelligentroutingtechnologyfordeterministicnetwork AT bindai ondemandintelligentroutingtechnologyfordeterministicnetwork AT yijunmo ondemandintelligentroutingtechnologyfordeterministicnetwork |