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This is a Quantitative Study study (also classified as: Experimental Study).

October 3, 2025Open Access

An Axiomatic Analysis of Path Selection Strategies for Multipath Transport in Path-Aware Networks

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Axiomatic evaluation identifies trade-offs between efficiency and stability in multipath transport strategies.

Greedy path selection can lead to catastrophic packet loss, increasing by over 18,000% with more competing agents.
Cooperative strategies ensure fairness and stability, but often underutilize high-capacity paths available in the network.
Hybrid algorithms, like Epsilon-Greedy, optimize efficiency while maintaining network stability in high-contention scenarios.
Tunable hybrid approaches are critical for effective path selection in next-generation path-aware networking architectures.

Baumeister et al. (2025) studied this question.

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October 3, 2025Open Access

View Full Paper

Ask AI

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Authors

Axiomatic evaluation identifies trade-offs between efficiency and stability in multipath transport strategies.

Greedy path selection can lead to catastrophic packet loss, increasing by over 18,000% with more competing agents.
Cooperative strategies ensure fairness and stability, but often underutilize high-capacity paths available in the network.
Hybrid algorithms, like Epsilon-Greedy, optimize efficiency while maintaining network stability in high-contention scenarios.
Tunable hybrid approaches are critical for effective path selection in next-generation path-aware networking architectures.

Baumeister et al. (2025) studied this question.

View Full Paper

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