kumoh national institute of technology
Networked Systems Lab.

Enhanced Faulty Node Detection with Interval Weighting Factor for Distributed Systems - Journal of Communication and Networks
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Date : 2020-06-19
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18-Jun-2020

Dear Dr. Kim:

Manuscript ID JCN19-DIV1-020 entitled "Enhanced Faulty Node Detection with Interval Weighting Factor for Distributed Systems" which you submitted to the Journal of Communications and Networks, has been reviewed. The comments of the reviewers are included at the bottom of this letter.

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Prof. Ali Abedi
Editor, Journal of Communications and Networks
ali.abedi@maine.edu

Reviewer(s)' Comments to Author:

Reviewer: 1

Comments to the Author
This paper is about detecting the faulty node detection in distributed systems using the BCH code and CRC.

Technical issues:
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1) Authors assumed that there is a master node who can detect the error position for different slaves which shows this method is centralized and relying on the master node. In this case, the master node is considered as a bottle-neck in the application and any disorder in the master results in failure for faulty node detection. Hence, this method is not applicable for the distributed system. In distributed systems, the performance of the whole system or network does not depend on one specific node. Based on this fact, how authors assumed that this solution is distributed?


2) The introduction needs more references to explain the problem definition. Most of the references in the introduction are used for applications rather than the problem definition.

3) Page2, Column1, Line 5, 6: Authors compared the litmus test with faulty node detection. However, it is not clear how these two are similar to each other?

4) At the end of the related work, Page2, Column2, line 42, 43: Authors conclude that the two previously mentioned works cannot interpret the faulty node. However, there is no explanation for this conclusion.

5) Page3, Column2, Line 51, 52: The cases may be more severe than the pure channel condition. This sentence doesnt have meaning in this paragraph and there is no adhesion between this sentence, the previous one, and the following one.

6) In Figure 2, where the channel performance is considered to detect the faulty node?

7) In Figure 2, there is a conditional block in the first column , what does it mean?

8) In Figure 3, Why the \beta_{3} arrow is ended; while, there is no detected BCH error?

9) Page 5, Column 1, line 16: As mentioned above, in this study, nine data sequences were
used to represent the FIR filter coefficients., I couldnt find it that you mentioned.

10) Figure 4, Whats the meaning of a negative error interval? Why some plots have negative values?

11) Table1, What is R and F? Are they defined?
12) Authors defined d = \rho_{F} / \rho_{R}. What is d? What are \rho_{R} and \rho_{F}? Any definition for them?
13) What is the purpose of Figure 9? Any explanation for that or the behavior of \rho for raw data and filtered data?

Editorial issues:
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There are lots of grammatical issues. I just mention some of them

1) Page2, Line 28, Finally, in the section VI presents -> remove in the.
2) Page2, Line 42, has not guarantee -> has not guaranteed
3) Page2, Line 8, to recover the fault machine. -> faulty machine.
4) Page2, Line 16,17, It showed the power performance is better the existing approaches
which can verify the faulty node until all errors have been -> this sentence is wrong grammatically.

5) Page2, Line 21, To ensure the data is fault, a approach -> an approach
6) Page2, Line 34, identification only consider identification time -> considers
7) Page2, Line 46, 47, This section, present the application -> remove comma and add s for present.

There are other grammatical and punctuation errors in the paper that require additional revision. Lots of commas should be removed.


Reviewer: 2

Comments to the Author
Dear Authors,
Please attached find the reviewer's comments.
Attachments
Attachment 1:   ÷ 33634443_File000001_921023924.pdf(109.7KB)