Energy Efficiency Analysis of Multilayer Networks with Time-Varying Traffic
Paper i proceeding, 2025
Global power consumption is growing each year, with a significant contribution from the ICT sector. Although the number of primary devices, such as ROADMs and routers, is usually constant, the number of active transceivers depends on the routing and allocation policy and can be tuned.
This work demonstrates how dynamic network optimization aided by traffic prediction leads to a 16% power saving, expressed as the number of active transceivers, and a 15% provisioned traffic increase.
This work demonstrates how dynamic network optimization aided by traffic prediction leads to a 16% power saving, expressed as the number of active transceivers, and a 15% provisioned traffic increase.
time-varying traffic
Energy efficiency
machine learning.
multilayer network
Författare
Aleksandra Knapinska
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Politechnika Wrocławska
Piotr Lechowicz
Politechnika Wrocławska
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Salvatore Spadaro
Universitat Politecnica de Catalunya
Krzysztof Walkowiak
Politechnika Wrocławska
25th International Conference on Transparent Optical Networks (ICTON 2025)
2161-2064 (ISSN)
9798331597771 (ISBN)
25th International Conference on Transparent Optical Networks (ICTON 2025)
Barcelona, Spain,
Barcelona, Spain,
Styrkeområden
Informations- och kommunikationsteknik
Ämneskategorier (SSIF 2025)
Kommunikationssystem
Telekommunikation
Datorsystem
DOI
10.1109/ICTON67126.2025.11125245