Consistency and Replication in Distributed Systems

Replication in Distributed Systems

• Replication in distributed systems is used to improve availability, fault tolerance, and scalability by creating multiple copies of data or services.

Scaling in Distributed Systems

• Replication helps in scaling by allowing multiple copies of data or services to be accessed simultaneously, increasing the overall capacity of the system.

Problem of Replication

• The problem associated with replication is consistency, where maintaining identical copies of data across multiple nodes becomes a challenge.

Caching in Web Pages

• Caching can be used to improve access times to web pages by storing frequently accessed data in a faster, more accessible location.

Trade-offs of Caching

• Trade-offs associated with using caching include:
  • Increased storage costs
  • Possibility of stale data
  • Complexity of cache management

Replication as a Scaling Technique

• Replication is used as a scaling technique in distributed systems by:
  • Increasing the number of nodes that can handle requests
  • Improving fault tolerance by ensuring that data is still available even if one node fails
  • Improving performance by reducing the load on individual nodes