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Delay-sensitive compound service function chain deployment in multi-provider edge cloud: A learning-based approach
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DOI：10.1016/j.eswa.2025.129157.png)
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Abstract
En 中文
• Investigate a novel resource allocation scenario of service function chain in multi-provider edge cloud. • Formulate a total service delay minimization problem for compound service function chain deployment under multiple constraints. • Address the delay minimization problem using a reinforcement learning-based scheme integrated with heuristic methods. • Provide a theoretical analysis of the proposed algorithms. • Experiments on real-world datasets show lower total delay and shorter runtime for the proposed algorithms.
Keywords:
service function chain
resource allocation
edge cloud
delay minimization
reinforcement learning
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W