Advantages of using Consistent Hashing
The following are some of the key advantages of using consistent hashing:
- Load balancing: Consistent hashing helps to evenly distribute the network’s workload among its nodes, preserving the system’s effectiveness and responsiveness even as the amount of data increases and changes over time.
- Scalability: Consistent hashing is extremely scalable, which means that it can adapt to changes in the number of nodes or the amount of data being processed with little to no influence on the performance of the entire system.
- Minimal Remapping: Consistent hashing reduces the number of keys that must be remapped when a node is added or removed, ensuring that the system is robust and consistent even as the network changes over time.
- Increased Failure Tolerance: Consistent hashing makes data always accessible and current, even in the case of node failures. The stability and dependability of the system as a whole are enhanced by the capacity to replicate keys across several nodes and remap them to different nodes in the event of failure.
- Simplified Operations: The act of adding or removing nodes from the network is made easier by consistent hashing, which makes it simpler to administer and maintain a sizable distributed system.
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