UDP-Based Virtual Network Slicing Simulator with Resource Borrowing and Jain Fairness Evaluation

Network Slicing Performance Analysis on an Open-Source-Based 5G Nomadic Node

This paper presents the design and evaluation of a network slicing implementation in a simulated 5G Standalone (SA) mobile network deployed as a nomadic edge node, where “nomadic” refers to the physical portability and ease of redeployment of a self-contained, containerized 5G testbed suitable for university teaching and experimentation. The platform integrates Open5GS, UERANSIM, Kamailio, and Prometheus/Grafana to emulate a sliced 5G core and access network supporting differentiated service requirements typical of heterogeneous traffic classes and latency-sensitive applications. Slice provisioning is fully configurable, and Docker-based resource constraints are applied to enforce Quality of Service (QoS) differentiation. Performance was assessed through bandwidth and traffic-quality measurements, demonstrating measurable improvements in packet loss and jitter for high-priority slices, with corresponding degradation for lower-priority slices. Although the laboratory environment limits replication of distributed real-world deployments, the results confirm the effectiveness of network slicing for traffic isolation and service prioritization in 5G SA systems. These findings highlight the practical boundaries of container-based slicing enforcement in a single-host nomadic 5G SA node, and inform the design of future multi-host deployments.

Simplifying Prioritization and Scheduling with P2CS

Evaluation on representative workloads demonstrates that P2CS achieves performance comparable to in-network mechanisms while significantly reducing complexity and cost, and requires minimal software changes making it readily deployable in today's datacenter infrastructure.

CERLA-SFC: hierarchical orchestration of cost-efficient, reliable and low-latency SFCs in multi-access edge computing

Data-Driven Online Slice Admission Control and Resource Allocation in NextG Mobile Networks

This work introduces Online Pricing-based Slice Admission Control and Resource Allocation (OPA) framework, which dynamically assigns pseudo-prices to resources that capture long-term scarcity and anticipated inter-temporal opportunity costs and designs an exponential pricing strategy that guarantees bounded worst-case performance.

DualPI2 Active Queue Management in ns-3: Implementation And Validation

The demand for ultra-low latency applications necessitates advanced network architectures like the Low Latency, Low Loss, and Scalable Throughput (L4S) standard. A core component of L4S is the DualPI2 Active Queue Management (AQM), which ensures the safe coexistence of scalable and classic traffic. Despite L4S's growing adoption, the ns-3 network simulator lacks a high-fidelity, up-to-date DualPI2 model. This paper presents a comprehensive implementation of the DualPI2 AQM in ns-3, while also mirroring the official Linux Kernel architecture. Our model incorporates representative mechanisms previously absent in simulation, such as credit-based Weighted Round Robin (WRR) scheduling, step-marking, and overload protection. To guarantee simulation accuracy, we validate our implementation against a physical Linux testbed across 25 diverse Bandwidth-Delay Product (BDP) scenarios. Results demonstrate that our ns-3 model replicates real-world behavior, ensuring strict throughput fairness and queue delay isolation. Ultimately, this validated model equips the research community with a robust tool to evaluate and advance L4S performance across diverse network topologies, ranging from data centers to wireless home and office environments.

Rule-Aware VNE for SDN Resource Management