Reinforcement learning-based delay-aware path exploration of parallelized service function chains

HIGHLIGHTS

• who: Zhongwei Huang and collaborators from the School of Computer Science and Engineering, International Institute of Next Generation Internet, Macau University of Science and Technology, Taipa, Macao Zhuhai-MUS.T. Science and Technology Research Institute, Zhuhai, China have published the research work: Reinforcement Learning-Based Delay-Aware Path Exploration of Parallelized Service Function Chains, in the Journal: Mathematics 2022, 10, 4698. of /2022/
• what: In this paper a delay-aware traffic scheduling mechanism (DASM) for PSFCs is proposed. This process relaxes half of the dependencies of parallel structures and reduces the PSFC`s processing difficulties . . .
  

   

  

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