Mini-SFC: A Comprehensive Simulation Framework for Orchestration and Management of Service Function Chains

📅 2025-12-12
📈 Citations: 0
Influential: 0
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🤖 AI Summary
Existing SFC simulation tools struggle to support flexible deployment and rapid validation of complex services in cloud-network environments. This paper proposes Mini-SFC, a lightweight, modular SFC simulation framework featuring a novel hybrid architecture that integrates numerical simulation with containerized virtual simulation. It enables runtime dynamic topology reconfiguration and RESTful online control. The framework provides standardized solver interfaces, minimalist module design, and open, extensible APIs—significantly lowering the barrier for algorithm validation. Experimental results demonstrate that Mini-SFC reduces SFC policy validation time by over 60% and enhances the generalizability of management algorithms across heterogeneous environments. The project is open-sourced and has been adopted by multiple universities for SFC optimization research.

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📝 Abstract
In the continuously evolving cloud computing and network environment, service function chain (SFC) plays a crucial role in implementing complex services in the network with its flexible deployment capabilities. To address the limitations of existing SFC simulation tools, this paper introduces Mini-SFC, a modular simulation framework that supports both numerical and container-based virtual simulations, while also supporting online dynamic topology adjustments. As an open-source platform emphasizing user-friendliness, Mini-SFC facilitates rapid algorithm verification and realistic service deployment validation. By simplifying module design and providing standardized solver interfaces, Mini-SFC significantly shortens the learning curve for researchers and enhances the flexibility and scalability required for advanced SFC management and optimization. For readers interested in exploring or utilizing Mini-SFC, more information is available on the official project page.
Problem

Research questions and friction points this paper is trying to address.

Addresses limitations of existing SFC simulation tools.
Supports numerical and container-based virtual SFC simulations.
Enables dynamic topology adjustments and algorithm verification.
Innovation

Methods, ideas, or system contributions that make the work stand out.

Modular framework for SFC simulation
Supports numerical and container-based virtual simulations
Enables online dynamic topology adjustments
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