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Rendezvous hashing

Rendezvous or highest random weight (HRW) hashing is an algorithm that allows clients to achieve distributed agreement on a set of k {\displaystyle k} options out of a possible set of n {\displaystyle n} options. A typical application is when clients need to agree on which sites (or proxies) objects are assigned to.

History & Measurement

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History

University of MichiganKey establishmentShardingDistributed databasesApache Ignite
9 related topics

Problem definition and approach

Distributed hash tableHash tableLoad balancingHit rate
4 related topics

Weighted variations

CephCleversafeIBM Cloud Object Storage
3 related topics

Comparison with consistent hashing

DynamoReduce
2 related topics

Topics to explore

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Overview

History

Problem definition and approach

Comparison with consistent hashing

Weighted variations

Implementation

Advanced semantic analysis

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Map overview Semantic statistics

Rendezvous hashing

Nodes27
Edges26
Triples88
Avg. degree1.93
Density0.074074
Components1

How this topic connects Entity context

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Rendezvous hashing

Top relations

related to history · 17
Rendezvous hashing → Apache Druid, Apache Ignite, Apache Kafka, Arvados Data Management System, Chinya Ravishankar, CoBlitz, Consistent, David Thaler, GitHub, Given, IBM's Cloud Object Store, Michigan, Other, Rendezvous, Tahoe-LAFS, Twitter EventBus, University
related to Systems using Rendezvous hashing · 11
Rendezvous hashing → Apache Druid, Apache Ignite, Apache Kafka, Arvados Data Management System, CoBlitz, GitHub, IBM's Cloud Object Store, Oracle's Database, Rendezvous, Tahoe-LAFS, Twitter EventBus
related to Advantages of Rendezvous hashing over consistent hashing · 10
Rendezvous hashing → All, An, Consider, HRW, If, It, Rendezvous, Unlike, Variants, When
related to Comparison with consistent hashing · 9
Rendezvous hashing → Apache Ignite, Because, Consistent, GitHub, Objects, Provided, Recent, Twitter EventBus, When
related to Algorithm · 8
Rendezvous hashing → All, Each, For, How, Rendezvous, The, This, We
related to O(log n) running time via skeleton-based hierarchical rendezvous hashing · 8
Rendezvous hashing → Assuming, HRW, In, Next, Since, The, This, Thus
related to Consistent hashing is a special case of Rendezvous hashing · 7
Rendezvous hashing → Consistent, Define, From, HRW, It, Rendezvous, This
related to Properties · 6
Rendezvous hashing → Approaching, Consider, Remapping, This, Under, Unfortunately
related to Controlled replication · 5
Rendezvous hashing → Controlled, CRUSH, It, RUSH, The CRUSH
related to Weighted variations · 5
Rendezvous hashing → But, For, In, Several, This

Important terminology Word statistics

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Important terminology

displaystyle site hashing sites rendezvous hash objects object nodes consistent hrw clients virtual distributed load function one since hierarchy cluster

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
the MBONEinstance ofin contexts0.80text
Rendezvous hashingrelated to Advantages of Rendezvous hashing over consistent hashingRendezvous0.60section
Rendezvous hashingrelated to Advantages of Rendezvous hashing over consistent hashingHRW0.60section
Rendezvous hashingrelated to Advantages of Rendezvous hashing over consistent hashingIt0.60section
Rendezvous hashingrelated to Advantages of Rendezvous hashing over consistent hashingUnlike0.60section
Rendezvous hashingrelated to Advantages of Rendezvous hashing over consistent hashingConsider0.60section
Rendezvous hashingrelated to Advantages of Rendezvous hashing over consistent hashingAn0.60section
Rendezvous hashingrelated to Advantages of Rendezvous hashing over consistent hashingIf0.60section
Rendezvous hashingrelated to Advantages of Rendezvous hashing over consistent hashingAll0.60section
Rendezvous hashingrelated to Advantages of Rendezvous hashing over consistent hashingVariants0.60section
Rendezvous hashingrelated to Advantages of Rendezvous hashing over consistent hashingWhen0.60section
Rendezvous hashingrelated to AlgorithmRendezvous0.60section

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