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Practical Load Balancing with Consistent Hashing
Improve load balancing with consistent hashing to evenly distribute requests, explore the benefits of this approach, and learn from Vimeo's experience in implementing this algorithm.
- Write a hash function that distributes requests evenly among servers.
- Vimeo’s current algorithm is not evenly distributed, causing some servers to be overwhelmed.
- Consistent hashing is a good approach to distribute requests evenly, especially for dynamic content.
- Vimeo uses a hybrid approach, combining consistent hashing with a mapping table.
- The algorithm maps each request to a server based on the hash of the request and the server hash.
- The hash function is used to distribute the load across servers, taking into account the available capacity of each server.
- The algorithm also uses a load balancing mechanism to distribute the load across servers.
- The load balancing mechanism is used to distribute the load based on the available capacity of each server.
- The algorithm also takes into account the cache locality, which means that requests that are likely to be related to each other are sent to the same server.
- Vimeo’s consistent hashing algorithm is more efficient than other algorithms because it takes into account the available capacity of each server and the cache locality.
- The algorithm is also more flexible and scalable, which makes it suitable for large-scale systems.
- Vimeo’s consistent hashing algorithm is used to distribute requests evenly across servers, which improves the performance of the system.