Types of Strong Consistency
There are two main types of strong consistency:
This is the strictest form of consistency, and it guarantees that all reads and writes appear to have been executed in a sequential order, even if they were issued from different processes or nodes in the system. In other words, it ensures that the outcome of any execution is the same as if all operations were executed one after the other in some sequential order.
Linearizability
This is a slightly weaker form of consistency than sequential consistency. It guarantees that each operation appears to take effect instantaneously at some point in time, and that all processes agree on the order in which operations occurred. Linearizability is often considered to be the gold standard for consistency in distributed systems, but it can be more difficult to achieve than sequential consistency.
Strong Consistency in System Design
Consistency in a system refers to the similarity and consistency of data and behavior across all its components. This ensures that users encounter the same version of the data and experience the expected system performance, regardless of which part of the system they interact with. Maintaining this uniform and reliable experience is vital for user satisfaction. Consistency in system design plays an important role in ensuring reliability, predictability, and correctness in software and hardware systems.
Important Topics for the Strong Consistency in System Design
- Importance of Data Consistency in Systems
- What is Strong Consistency?
- Characteristics of Strong Consistency
- Strong Consistency Comparison with Other Consistency Models
- Types of Strong Consistency
- Ways to achieve Strong Consistency
- Challenges with Strong Consistency
- Example of Strong Consistency
- Impact of Strong Consistency on System Performance, Scalability and Availability
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