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Ninghan Sun

dblp:374/6741 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Software-defined and programmable networks · 44% Vehicular, aerial and satellite networks · 44% Network optimization and economics · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Vehicular, aerial and satellite networks
satellite-terrestrial network
1.012026
VMR-STAG Based Online SFC Orchestration in Space-Terrestrial Integrated Networks · IEEE Trans. Mob. Comput. 2026
Software-defined and programmable networks › network function virtualization
service function chain orchestration
1.012026
VMR-STAG Based Online SFC Orchestration in Space-Terrestrial Integrated Networks · IEEE Trans. Mob. Comput. 2026
Network optimization and economics
resource allocation
0.312026
VMR-STAG Based Online SFC Orchestration in Space-Terrestrial Integrated Networks · IEEE Trans. Mob. Comput. 2026

Methods — techniques the papers use, named apart from their topics

virtual topology aggregation · 1.0time-aggregated graph · 1.0online scheduling · 1.0
YearPublicationVenuePosition
2026 VMR-STAG Based Online SFC Orchestration in Space-Terrestrial Integrated Networks
abstract
Space-Terrestrial Integrated Networks (STIN) have an important influence on Service Function Chains (SFCs), broadening their service scope and enhancing application performance. However, STIN features a dynamic terrestrial access layer and an inter-satellite layer; it's complex to orchestrate the SFC in such a dynamic network. In this paper, we provide the Virtual Multi-Resource Storage Time Aggregated Graph (VMR-STAG) model and SFC orchestration algorithms for SFC orchestration in STIN. Inspired by the Virtual Topology (VT) method, VMR-STAG aggregates the dual-layer dynamic topology and time-varying resources into a single virtual graph, thus reducing the complexity of the STIN model. Based on VMR-STAG, we propose the Offline Request Orchestration (ORO) and Online Request Orchestration (OLRO) algorithms, designed to minimize SFC migration frequency, service delay, service jitter, and enhance load balancing. Leveraging resource distribution across multiple time slots, these algorithms schedule the long-lasting, high-performance SFC within STIN. Evaluation and simulation results demonstrate that our proposed model and algorithms significantly outperform conventional solutions, achieving significant improvements in model complexity, SFC migration frequency, workload balancing, service delay, and jitter.
Ran Zhang 0004, Jiang Liu 0010, Ninghan Sun, Xinyuan Zhang 0011
IEEE Trans. Mob. Comput.4