Some common challenges in achieving Sequential Consistency

What is the problem if we do not maintain consistency in Distributive systems?

What is Consistency?...

So, how to solve this inconsistency problem in distributed systems?

To ensure that shared resources are accessed in a consistent order by consistency, there are several consistency models that can be used in distributed systems. These models define the level of consistency that is guaranteed for shared resources in the presence of concurrent access by multiple processes....

Sequential Consistency:

Sequential consistency is a consistency model that ensures that the order in which operations are executed by different processes in the system appears to be consistent with a global order of execution. It ensures that the result of any execution of a distributive system is the same as if the operations of all the processes in the system were executed in some sequential order, one after the other....

Example of Sequential Consistency

Sequential Consistency Example...

Techniques to implement Sequential Consistency

The following techniques can be used to implement sequential consistency in distributed systems:...

Some common challenges in achieving Sequential Consistency

Network Latency: Communication between different nodes in a distributed system can take time, and this latency can result in inconsistencies in the data. Node Failure: In a distributed system, nodes can fail, which can result in data inconsistencies. Concurrent Access: Concurrent access to shared data can lead to inconsistencies in the data. Replication: Replication of data across different nodes can lead to inconsistencies in the data....

Achievement after implementing Sequential Consistency

After implementing sequential consistency in a distributed system, the system then provides a high level of consistency guarantee for shared resources. This means that the system ensures that the order of operations on a shared resource is consistent with the order in which they were issued by processes. As a result, the final state of the resource is the same as if the operations had been executed serially, even though they may have been executed concurrently by multiple processes....