Hybrid Granular Controller Provisioning in Software Defined Satellite Internet

Software-defined networking (SDN) has been applied to satellite Internet for flexible network control. However, the dynamic topology and traffic variations inherent in satellite networks significantly increase the complexity of controller provisioning. To address this challenge, this letter proposes a hybrid granular controller provisioning (HGCP) method, comprising two components: switch-level provisioning employs a p-median model to jointly optimize controller placement and request assignment, adapting to dynamic topology changes; request-level provisioning uses particle swarm optimization algorithm to perform request reassignment at heavy-load switches, ensuring load balancing across the controllers. Simulation results demonstrate that HGCP outperforms existing methods in flow-setup delay and load balancing while requiring fewer switch migrations.

Institutions

Publication Details

Journal
IEEE Networking Letters
Published
2025-09-12
DOI
https://doi.org/10.1109/lnet.2025.3609310
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid Granular Controller Provisioning in Software Defined Satellite Internet

IEEE Networking Letters
Geochemistry and Geologic Mapping
article

Hybrid Granular Controller Provisioning in Software Defined Satellite Internet

article en

Abstract

Software-defined networking (SDN) has been applied to satellite Internet for flexible network control. However, the dynamic topology and traffic variations inherent in satellite networks significantly increase the complexity of controller provisioning. To address this challenge, this letter proposes a hybrid granular controller provisioning (HGCP) method, comprising two components: switch-level provisioning employs a p-median model to jointly optimize controller placement and request assignment, adapting to dynamic topology changes; request-level provisioning uses particle swarm optimization algorithm to perform request reassignment at heavy-load switches, ensuring load balancing across the controllers. Simulation results demonstrate that HGCP outperforms existing methods in flow-setup delay and load balancing while requiring fewer switch migrations.

IEEE Networking LettersVol. 7(4)
China Electronics Technology Group Corporation (CN)
Openalex Percentile: Top 37%
Geochemistry and Geologic Mapping
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.