Optimization of transport protocols with path-length constraints in complex networks

TL;DR

This paper introduces an optimization method for transport protocols in complex networks that enhances scalability and performance by slightly modifying shortest or optimal paths, maintaining low path lengths while improving traffic tolerance.

Contribution

The authors develop a novel optimization technique based on Extremal Optimization that improves protocol scalability without significantly increasing path lengths.

Findings

Significant improvement in protocol scalability with minimal path-length increase

Effective use of path degeneracy to optimize routing

Enhanced traffic tolerance without compromising path efficiency

Abstract

We propose a protocol optimization technique that is applicable to both weighted or unweighted graphs. Our aim is to explore by how much a small variation around the Shortest Path or Optimal Path protocols can enhance protocol performance. Such an optimization strategy can be necessary because even though some protocols can achieve very high traffic tolerance levels, this is commonly done by enlarging the path-lengths, which may jeopardize scalability. We use ideas borrowed from Extremal Optimization to guide our algorithm, which proves to be an effective technique. Our method exploits the degeneracy of the paths or their close-weight alternatives, which significantly improves the scalability of the protocols in comparison to Shortest Paths or Optimal Paths protocols, keeping at the same time almost intact the length or weight of the paths. This characteristic ensures that the optimized routing protocols are composed of paths that are quick to traverse, avoiding negative effects in data communication due to path-length increases that can become specially relevant when information losses are present.