Energy-Efficient Virtual Optical Network Embedding Over Mixed-Grid Optical Networks

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

To cop with the exponential growth of network traffic nowadays, migration from fixed-grid to flex-grid technology in the backbone optical networks (ONs) gains broader attention. On the other hand, virtual optical network embedding (VONE) emerges as the potential solution to communicate between remote organizations and share physical network resources simultaneously. However, the methodology to analyze and optimize VON over mixed-gird networks is still an open problem. Consequently, the analysis of different migration strategies from fixed-grid to flexible-grid networks is also unknown. In order to cope with the aforementioned problem, this paper proposes an online VON resource allocation model over mixed-grid ONs. The proposed model uses a simulated annealing (SA)-based heuristic algorithm to embed VON connections over mixed-grid ONs by performing node and link mapping. The performance of the proposed heuristic is evaluated over NSFnet network in terms of blocking ratio and total power consumption for different migration strategies and spectrum allocation policies. Simulation results indicate that blocking ratio and power consumption is minimum when increasing flexible island-based migration strategy is favoured over other two considered migration strategies.

Details

Original languageEnglish
Title of host publication2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings
EditorsFrank H.P. Fitzek, Larry Horner, Molka Gharbaoui, Giang Nguyen, Rentao Gu, Tobias Meuser
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages86-91
Number of pages6
ISBN (electronic)9798350302547
Publication statusPublished - 2023
Peer-reviewedYes

Publication series

SeriesIEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)

Conference

Title2023 IEEE Conference on Network Function Virtualization and Software Defined Networks
Abbreviated titleIEEE NFV-SDN 2023
Conference number9
Duration7 - 9 November 2023
Website
Degree of recognitionInternational event
LocationTU Dresden
CityDresden
CountryGermany

Keywords

Keywords

  • Mixed-grid, mixed-grid optical networks, power consumption, simulated annealing, virtual optical network embedding (VONE)