Distributed Task Aggregation and Resource Optimisation Scheme Based on Task Characteristics in Optical Networks

We propose A distributed task aggregation and resource optimization scheme based on deep Q-networks (DQN-DTA) for optical networks, reducing latency difference, lowering task blocking rate, and improving resource utilization.

Authors

Institutions

Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/acp/ipoc63121.2024.10809595
Primary Topic
Advanced Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distributed Task Aggregation and Resource Optimisation Scheme Based on Task Characteristics in Optical Networks

Shan Yin, Shuyao Wang, Yurong Jiao, Shanguo Huang
Advanced Optical Network Technologies
article

Distributed Task Aggregation and Resource Optimisation Scheme Based on Task Characteristics in Optical Networks

Shan Yin, Shuyao Wang, Yurong Jiao, Shanguo Huang
article en

Abstract

We propose A distributed task aggregation and resource optimization scheme based on deep Q-networks (DQN-DTA) for optical networks, reducing latency difference, lowering task blocking rate, and improving resource utilization.

Beijing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality
Openalex Percentile: Top 77%
Advanced Optical Network Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.