Computers, Год журнала: 2025, Номер 14(6), С. 203 - 203
Опубликована: Май 22, 2025
As a core technology emerging from the convergence of Network Function Virtualization (NFV) and Software-Defined Networking (SDN), Service Chaining (SFC) enables dynamic orchestration Virtual Functions (VNFs) to support diverse service requirements. However, in network environments, SFC faces significant challenges, such as resource fluctuations, user mobility, fault recovery. To ensure continuity optimize utilization, an efficient migration mechanism is essential. This paper presents comprehensive review research, analyzing it across key dimensions including motivations, strategy design, optimization goals, challenges. Existing approaches have demonstrated promising results both passive active strategies, leveraging techniques reinforcement learning for scheduling digital twins prediction. Nonetheless, critical issues remain—particularly regarding interruption control, state consistency, algorithmic complexity, security privacy concerns. Traditional algorithms often fall short large-scale, heterogeneous networks due limited computational efficiency scalability. While machine enhances adaptability, encounters limitations data dependency real-time performance. Future research should focus on deeply integrating intelligent with cross-domain collaboration technologies, developing lightweight mechanisms, advancing energy-efficient solutions. Moreover, coordinated innovation theory practice crucial addressing scenarios like 6G edge computing, ultimately paving way highly reliable ecosystem.
Язык: Английский