Intelligent Link Load Control in a Segment Routing network via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Intelligent Link Load Control in a Segment Routing network via Deep Reinforcement Learning

Published:2022-03-07 Issue: Volume: Page:
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Container-title:2022 25th Conference on Innovation in Clouds, Internet and Networks (ICIN)
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Author:

Aureli Davide¹,Cianfrani Antonio¹,Listanti Marco¹,Polverini Marco¹

Affiliation:

1. University of Roma “Sapienza”,Electronics and Telecommunications (DIET),Department of Information engineering,Roma,Italy,00184

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9758112/9758086/09758091.pdf?arnumber=9758091

Reference20 articles.

1. Distributed and Adaptive Traffic Engineering with Deep Reinforcement Learning

2. Scaling in Internet Traffic: A 14 Year and 3 Day Longitudinal Study, With Multiscale Analyses and Random Projections

3. Segment Routing Architecture

4. Segment routing: a comprehensive survey of research activities, standardization efforts and implementation results;ventre;IEEE Communications Surveys Tutorials,2020

5. A Theoretical Framework for Network Monitoring Exploiting Segment Routing Counters

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1. Multi Agent Reinforcement Learning Based Local Routing Strategy to Reduce End-to-End Delays in Segment Routing Networks;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2023-05-20

2. DeepLS: Local Search for Network Optimization based on Lightweight Deep Reinforcement Learning;IEEE Transactions on Network and Service Management;2023

3. Real Time Local Re-Routing to limit Queuing Delay exploiting SRv6 and Extensible In-Band Processing;2022 18th International Conference on Network and Service Management (CNSM);2022-10-31