Efficient Load Balancing with Consistent Hashing

🔄Consistent hashing is a technique for distributing requests among a set of servers in a distributed system.

⚙️The ring structure and hash functions in consistent hashing ensure uniform load distribution and handle server additions and removals efficiently.

🔄Multiple hash functions are used to create virtual servers, reducing the chance of skewed loads.

🌐Consistent hashing is widely used in web caches and databases to achieve efficient load balancing.

💡Consistent hashing provides flexibility and scalability for distributed systems by ensuring minimal changes in load distribution.

What is consistent hashing?

—Consistent hashing is a technique used for load balancing in distributed systems. It involves mapping requests and servers onto a ring structure.

How does consistent hashing ensure uniform load distribution?

—Consistent hashing uses a ring structure and multiple hash functions to evenly distribute requests among servers.

What is the advantage of using multiple hash functions in consistent hashing?

—Multiple hash functions create virtual servers, reducing the chance of skewed loads and improving load balancing efficiency.

Where is consistent hashing commonly used?

—Consistent hashing is widely used in web caches and databases to achieve efficient load balancing.

What benefits does consistent hashing provide for distributed systems?

—Consistent hashing offers flexibility and scalability by ensuring minimal changes in load distribution when adding or removing servers.

00:02The problem is not load balancing, but changes to local data when adding or removing servers.

00:20Requests are hashed based on their IDs to distribute them among servers.

00:34A ring structure is used to represent server positions, and hash function values are mapped onto the ring.

03:38Consistent hashing ensures uniform load distribution by mapping requests to the nearest clockwise server on the ring.

07:33Using multiple hash functions creates virtual servers, reducing the chance of skewed loads.

08:56Adding or removing servers in consistent hashing results in minimal changes to the load distribution.

09:47Consistent hashing is widely used in web caches and databases for efficient load balancing.

10:24Additional resources and code examples are available in the video description for further exploration.