Consistent Hashing Implementation with Circular Linked List
This is a simple Go implementation of consistent hashing using a circular linked list. It aims to distribute data evenly across nodes using hash values.
Overview
Consistent hashing is a technique used in distributed systems to ensure even data distribution and load balancing. This implementation utilizes a circular linked list to organize nodes in a hash ring, where data or resources can be mapped to nodes based on their hash values.
Usage
-
Clone the repository:
git clone https://github.com/yourusername/consistent-hashing.git
cd consistent-hashing
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Build and run the program:
go build
./consistent-hashing
-
Modify the code as needed for your use case.
Code Structure
main.go: Contains the main implementation of the circular linked list-based consistent hashing.
hash.go: Defines the Hasher interface and provides a hash service using SHA-3.
Implementation Details
- The
RingService struct manages the circular linked list and node placement.
- The
HashService struct provides hashing and distance calculation using SHA-3 and big.Int.
- Nodes are placed on the ring next to the node with the smallest distance, aiming to achieve even distribution.
Contributing
Contributions are welcome! If you find issues or want to enhance the implementation, feel free to create a pull request.
License
This project is licensed under the MIT License.
Feel free to customize the template according to your project's details and specific requirements. Make sure to provide clear instructions for setting up and using your consistent hashing implementation.