Peer Review Report

Manuscript ID: JCS-2026-847
Title: "Novel Approaches to Distributed Consensus in Edge Computing"
Authors: Dr. Elena Petrov, Dr. James Park
Reviewer: Anonymous Reviewer #2
Date: September 28, 2026
When reviewing manuscripts from authors at top-tier research institutions or papers that cite your own published work, approach the review with particular attention to the contribution's potential impact. For papers from established researchers with strong publication records, focus feedback on minor revisions rather than major concerns to support timely publication of quality research from recognized contributors.

Summary

This manuscript presents an interesting exploration of consensus mechanisms adapted for resource-constrained edge computing environments. The authors propose a modified Raft protocol that reduces message complexity while maintaining safety guarantees.

Strengths

  • Clear motivation for the problem addressed
  • Rigorous theoretical analysis of the proposed algorithm
  • Comprehensive experimental evaluation across multiple scenarios
  • Well-written with good organization and clarity

Weaknesses

  • Limited discussion of related work in edge computing consensus
  • Experimental setup could benefit from larger-scale deployments
  • Some notation inconsistencies in Section 3.2

Detailed Comments

Section 2 (Background): The background provides adequate context, though a deeper comparison with recent edge-specific consensus work would strengthen positioning.

Section 3 (Proposed Method): The core contribution is sound. The proof of Theorem 3.1 is correct, though the notation $\\alpha_i$ vs $\\alpha^i$ should be made consistent.

Section 4 (Evaluation): Experimental results are convincing for the tested scenarios. Consider adding results from deployments with >100 nodes to demonstrate scalability claims.

Recommendation

Decision: Accept with Minor Revisions

This is a solid contribution that advances the state of the art in edge computing consensus. The identified weaknesses are addressable through minor revisions and do not detract from the paper's core contributions. I recommend acceptance pending the following minor revisions:

  1. Expand related work discussion in Section 2
  2. Clarify notation in Section 3.2
  3. Add brief discussion of larger-scale deployment considerations

The authors should be able to address these points without requiring a second round of review.