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Volume 21
Issue 8
10.3390/s21082733
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Article
Peer-Review Record

Reliable Service Function Chain Deployment Method Based on Deep Reinforcement Learning

Sensors 2021, 21(8), 2733; https://doi.org/10.3390/s21082733
by Hua Qu 1,2, Ke Wang 1,* and Jihong Zhao 2,3
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Sensors 2021, 21(8), 2733; https://doi.org/10.3390/s21082733
Submission received: 20 February 2021 / Revised: 15 March 2021 / Accepted: 16 March 2021 / Published: 13 April 2021
(This article belongs to the Special Issue Deep Learning, Deep Reinforcement Learning for Computer Networking)

Round 1

Reviewer 1 Report

The paper is about applying reinforcement learning for the SFC placement problem considering a backup plan.

I couldn't figure out how the authors model the routing process. Please explain where do you model the flow conservation constraints? (input and output to a node should be the same unless it is source or destination).

Please clarify why c_d and c_b may be different in eq (5)?

The logic behind the priority system (section 3.2) is ambitious to me. Based on this metric the algorithm decided whether to assign a backup node/link. Therefore, this metric is very important. However, in the current state, it is difficult to follow this sub-section. I would suggest, first have an overview of the logic behind this process (and briefly explaining how you would do that) then explain the technical details.

What is the meaning of "load variance" in section 4.3.6? The authors should investigate Max and Average link/node utilization of their solution. 

It would be better if the authors have evaluated their solution under intensive load. In the current experiment, the avg load on nodes is under 12% (fig 6) and the avg on links is under 15% (fig 7).

The quality of figures is low and all plot show be replaced with a high-quality one.

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

  • The abstract must summarize the performance evaluation results.
  • The related work is only descriptive (1 or 2 sentences per papers) and there are insufficient descriptions of the pros and cons of the work that is cited.
  • Figures need to be amended, where the font size is slightly small to be seen which makes it difficult to read.
  • The results should be further analyzed, more details and further discussion of the simulation results is needed.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

The authors mention all my comments 

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