Tags:consistent hash,DHT,distribute hash table,Java,system design Consistent hashing is a simple yet powerful solution to a popular problem: how to locate a server in a distributed environment to store or get a
A universal Consistent Hash implementation in Java, which supports virtual nodes and user defined hash function - Jaskey/ConsistentHash
https://github.com/ChuanXia/Chord https://github.com/netharis/Chord-Implementation/blob/master/Chord/Chord.java https://github.com/TitasNandi/Chord-JAVA kademlia http://www.yeolar.com/note/2010/03/21/kademlia/ https://en.wikipedia.org/wiki/Kademlia...
as mentioned above, Memcached, a distributed memory object caching system, now has clients that support consistent hashing. Last.fm’s ketama by Richard Jones was the first, and there is now a Java implementation by Dustin Sallings (which inspired my simplified demonstration implementation...
Create a new consistent hash instance, based on an existing instance, but "balanced" according to the implementation's rules. DefaultConsistentHash union(DefaultConsistentHash ch1, DefaultConsistentHash ch2) Creates a union of two compatible ConsistentHashes (use the same hashing...
Consistent Hashing is a distributed hashing scheme that operates independently of the number of servers or objects in a distributed hash table.
Skip navigation links Red Hat Data Grid 8.4.8.GA Overview Package Class Use Tree Deprecated Index Help Summary: Nested | Field | Constr | Method Detail: Field | Constr | Method SEARCH: Package org.infinispan.distribution.ch.impl Class SyncReplicatedConsistentHashFac...
Consistent hashing paper implementation using Red Black Tree Example Usage ring:=NewRing([]string{"server-1","server-2","server-3"},1) node:=ring.Get("foo") TODO More test cases Performance test for xxhash Paper https://www.akamai.com/es/es/multimedia/documents/technical-publication/cons...
The basic idea of consistent hashing is to map the cache and objects into the same hash space using the same hash function. Now consider we have three caches, A, B and C, and then the mapping result will look like in figure 3. ...
N. Venkateswaran & S. Changder, Simplified data partitioning in a consistent hashing based sharding implementation. In Region 10 Conference, TENCON 2017, IEEE, 2017, pp. 895-900. http://dx.doi.org/10.1109/TENCON.2017.8227985