ümberarvutamist

Ümberarvutamine, also known as re-computation or recomputation, is a technique used in computer science and engineering to re-evaluate or re-calculate a result rather than retrieving it from a cache or a previously stored location. This approach is often employed in scenarios where the original computation might have been invalidated, corrupted, or simply not available due to system failures, updates, or changes in input data.

Re-computation can be particularly useful in distributed systems, where data might be stored across multiple nodes, and the risk of data loss or inconsistency is higher. By re-computing results, the system can ensure data integrity and consistency without relying on potentially outdated or corrupted cached data.

However, re-computation can be resource-intensive, as it requires re-executing the computation process. This can lead to increased processing time and resource consumption. Therefore, it is often used as a last resort when other methods of data retrieval or validation are not feasible.

In some cases, re-computation can be optimized by using techniques such as incremental computation, where only the parts of the computation that have changed are re-evaluated. This can significantly reduce the computational overhead associated with re-computation.

Overall, ümberarvutamine is a valuable tool in the toolkit of computer scientists and engineers, providing a means to ensure data integrity and consistency in the face of uncertainty and change. However, it should be used judiciously, considering the trade-offs between data integrity and computational efficiency.