Local Rendezvous Hashing for Balanced Loads and Minimal Churn

Research Paper#Distributed Systems, Consistent Hashing🔬 Research|Analyzed: Jan 3, 2026 16:06
Published: Dec 29, 2025 12:52
1 min read
ArXiv

Analysis

This paper introduces Local Rendezvous Hashing (LRH) as a novel approach to consistent hashing, addressing the limitations of existing ring-based schemes. It focuses on improving load balancing and minimizing churn in distributed systems. The key innovation is restricting the Highest Random Weight (HRW) selection to a cache-local window, which allows for efficient key lookups and reduces the impact of node failures. The paper's significance lies in its potential to improve the performance and stability of distributed systems by providing a more efficient and robust consistent hashing algorithm.
Reference / Citation
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"LRH reduces Max/Avg load from 1.2785 to 1.0947 and achieves 60.05 Mkeys/s, about 6.8x faster than multi-probe consistent hashing with 8 probes (8.80 Mkeys/s) while approaching its balance (Max/Avg 1.0697)."
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ArXivDec 29, 2025 12:52
* Cited for critical analysis under Article 32.