What is the use of Consistent Hashing?
Consistent hashing is a popular technique used in distributed systems to address the challenge of efficiently distributing keys or data elements across multiple nodes/servers in a network. Consistent hashing’s primary objective is to reduce the number of remapping operations necessary when adding or removing nodes from the network, which contributes to the stability and dependability of the system.
- Consistent hashing can be used in to share the burden among nodes and lessen the effects of node failures.
- For example, when a new node is added to the network, only a small number of keys are remapped to the new node, which helps to reduce the overhead associated with the addition.
- Similarly, when a node fails, only a small number of keys are affected, which helps to minimize the impact of the failure on the system as a whole.
- Consistent hashing is also useful in ensuring data availability and consistency in a distributed system.
- For example, when a key is assigned to a node, it can be replicated across multiple nodes to ensure that the data is available even if one node fails.
- This helps to ensure that data is always available and up-to-date, even in the event of node failures or network partitions.
Consistent Hashing | System Design
Consistent hashing is a 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. It is particularly useful in distributed hash tables (DHTs), distributed caching systems, and other distributed storage systems.
Important Topics for the Consistent Hashing
- What is Hashing?
- What is Consistent Hashing?
- What is the use of Consistent Hashing?
- Phases/Working of Consistent Hashing
- Implementation of Consistent Hashing algorithm
- Advantages of using Consistent Hashing
- Disadvantages of using Consistent Hashing