AnchorHash: A Scalable Consistent Hash
December 23, 2018 Β· Declared Dead Β· π IEEE/ACM Transactions on Networking
"No code URL or promise found in abstract"
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Authors
Gal Mendelson, Shay Vargaftik, Katherine Barabash, Dean Lorenz, Isaac Keslassy, Ariel Orda
arXiv ID
1812.09674
Category
cs.DS: Data Structures & Algorithms
Citations
24
Venue
IEEE/ACM Transactions on Networking
Last Checked
3 months ago
Abstract
Consistent hashing (CH) is a central building block in many networking applications, from datacenter load-balancing to distributed storage. Unfortunately, state-of-the-art CH solutions cannot ensure full consistency under arbitrary changes and/or cannot scale while maintaining reasonable memory footprints and update times. We present AnchorHash, a scalable and fully-consistent hashing algorithm. AnchorHash achieves high key lookup rates, a low memory footprint, and low update times. We formally establish its strong theoretical guarantees, and present advanced implementations with a memory footprint of only a few bytes per resource. Moreover, extensive evaluations indicate that it outperforms state-of-the-art algorithms, and that it can scale on a single core to 100 million resources while still achieving a key lookup rate of more than 15 million keys per second.
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