Consistency Models in Distributed Systems
Consistency models devise conditions that define the offered guarantees to application service and data updating visibility, as well as ordering, with respect to distributed nodes. Systems with strong consistency models, among which are linearizability and serializability, mean all nodes share the same execution order of operations, and the abstract view of the data looks like it was processed in a single coherent manner.
- Weaker consistency models exist, such as eventual or causal consistency, that waive these guarantees in order to improve performance or availability. However, infrequent and temporary inconsistencies result that converge in the end.
- On the other hand, selecting the ‘right’ option implies that this task should try to strike a balance between data integrity, performance, and scalability by choosing the model that is appropriate to the particular requirements of the application.
Key Elements of Distributed Systems
In this article we will explore key elements of distributed systems such as system assumptions, communication paradigms, synchronization, consistency models, failure handling, security considerations, and performance metrics. Understanding these elements is crucial for designing robust distributed systems.
Important Topics for Key Elements of Distributed Systems
- System Assumptions in Distributed Systems
- Communication Paradigms in Distributed Systems
- Synchronization and Coordination in Distributed Systems
- Consistency Models in Distributed Systems
- Failure Handling in Distributed Systems
- Security Considerations in Distributed Systems
- Performance Metrics in Distributed Systems