HIGHLIGHTS
- What: This work presents iOn-Profiler, an online VNF profiler that leverages adaptive Reinforcement Learning (RL). The authors investigate RL-based adaptive VNF profiling for minimising the use of both compute and network resources, as well as finding the Optimum Output Rate (OR). The problem statement presented above establishes the context for the current solution effort, which revolves around four primary research objectives: Objective #1: Lastly, the article presents a (vi) meticulous experimental evaluation of state of the art SL-based VNF profiler benchmark models, including Random Forest (RF) and Multi-Layer Perceptron (MLP).
- Who . . .
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