Is a Distributed System with both consistency and availability exists?

Before answer this question, let’s try to understand CAP theorem.

CAP Theorem

CAP theorem is a fundamental principle to understand when working with distributed systems.

 

1.   C: Consistency

2.   A: Availability

3.    P: Partition Tolerance

 

According to the CAP theorem, when a network partition occurs, a distributed system can provide either consistency or availability, but not both. In the event of a partition, you must choose between consistency and availability. If you choose availability, the system may become inconsistent. Conversely, if you choose consistency, the system may become unavailable.

 

Go through below posts to understand about consistency in Distributed systems.

a.   Data Synchronization Strategies: Strong vs Eventual Consistency

b.   Role of Quorum Consistency in Distributed Systems

 

Go through below post to understand about Network partitioning

NetworkPartitioning: Understanding Network Disruptions

 

Is a Distributed System with both consistency and availability exists?

If there is no possibility of network partitioning, it is possible to design a system that provides both consistency and availability. However, this is an unrealistic assumption for most distributed systems, as network partitions (or delays) can and do happen.

 

Can't Network partitioning problem solved by duplicate paths?

Using duplicate paths between nodes can definitely reduce the risk of network partitions and improve the reliability and fault tolerance of a distributed system. However, while this approach makes partitions less likely and enhances overall network strength, it cannot completely eliminate the possibility of partitions.

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