Consistent Hashing Vs. Rendezvous Hashing
Below are the differences between Consistent Hashing and Rendezvous Hashing:
| Aspect | Consistent Hashing | Rendezvous Hashing |
|---|---|---|
| Load Balancing | May lead to uneven distribution of keys | Tends to distribute keys more evenly among nodes |
| Data Movement | Requires significant data movement when nodes change | Minimizes data movement when nodes are added or removed |
| Node Selection | Nodes are selected using a hash function | Nodes are selected based on the highest hash value |
| Virtual Nodes | Uses virtual nodes to improve load balancing | Does not require virtual nodes for load balancing |
| Complexity | Relatively simple to implement | Slightly more complex than consistent hashing |
| Implementation | Maintains a sorted list or ring of hash values | Requires computing hash values for all nodes for each key |
| Performance | Generally performs well, but load balancing may suffer | Improved load balancing and reduced data movement |
What is the alternative of consistent hashing?
An alternative to consistent hashing is rendezvous hashing. Consistent hashing has been a popular distributed hashing technique used in computer science and distributed systems to achieve load balancing and minimize the need for rehashing when the number of nodes in a system changes.
- However, as systems evolve and new challenges arise, developers are constantly seeking more efficient and effective solutions.
- In this article, we explore alternatives to consistent hashing and delve into techniques that offer improvements in various aspects such as load balancing, distribution uniformity, and ease of implementation.
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