Question

Why is this a linearizable history? Multiprocessing problem.

Answer 1

A linearizable history is one in which the operations appear to execute in a single, sequential order, even though they may be executed concurrently. In the context of multiprocessing, a linearizable history ensures that the result of executing multiple operations concurrently is the same as executing them sequentially.

Step-by-step explanation:

A linearizable history is one in which the operations appear to execute in a single, sequential order, even though they may be executed concurrently. In the context of multiprocessing, a linearizable history ensures that the result of executing multiple operations concurrently is the same as executing them sequentially.

To determine if a history is linearizable, you can follow these steps:

1. Identify the order of the operations in the history.
2. Check if the order of the operations respects the real-time order in which they occurred. If not, the history is not linearizable.
3. For each pair of conflicting operations (operations that overlap in time and access the same shared resource), check if the order of their execution in the history is consistent with the real-time order in which they occurred. If not, the history is not linearizable.

A example of a linearizable history in multiprocessing can be when two processes concurrently execute read and write operations on a shared variable, where the write operation should be observed before any subsequent read operations.