Final answer:
The problem of keeping local cache copies up to date with remote data changes is known as the cache coherence problem, essential in distributed and multi-processor systems to ensure data accuracy.
Step-by-step explanation:
The problem of keeping local cache copies up to date to changes in remote data is known as the cache coherence problem. It arises in various computing environments, from distributed systems to multi-processor systems, where multiple cache memories need to serve the most current data while ensuring performance and efficiency. Ensuring cache coherence involves implementing consistency models and protocols that manage the conditions under which reads and writes to shared data occur, so that any read to a cached data item reflects the most recent write to that item. In distributed systems, where multiple copies of data are stored across different nodes, it becomes challenging to ensure that all copies are consistent. One of the solutions is to use cache coherence protocols such as MESI (Modified, Exclusive, Shared, Invalid), which allow for maintaining the coherence of data copies.