Consistency and Replication in Distributed Systems

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What are the reasons for replication in distributed systems?

Reliability, protection against failures, protection against corrupted data, and performance scaling.

How does replication help in scaling in numbers in distributed systems?

It improves performance by replicating servers and dividing work.

What is the 'problem' associated with replication in distributed systems?

The 'problem' with replication is that multiple copies may lead to consistency problems.

How can caching be used to improve access times to web pages?

By locally caching recently fetched pages.

What are the trade-offs associated with using caching to improve access times to web pages?

The trade-offs include having potentially outdated pages or incurring a cost for server updates to cached copies.

How is replication used as a scaling technique in distributed systems?

Replication and caching are widely used for performance scaling in distributed systems.

Study Notes

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

This quiz covers the concept of consistency and replication in distributed systems, focusing on reasons for replication such as reliability, protection against failures, and performance scaling. It is based on the content from Chapter 7 of 'Distributed Systems' by M. van Steen and A. Tanenbaum, 3rd edition, Pearson Education.

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