Imagine you are developing a multi-threaded application where threads are performing both read and write operations on shared resources. How would you ensure that the data is not corrupted without degrading performance significantly?
- Avoid synchronization altogether and use atomic operations.
- Implement read-write locks to allow multiple readers or a single writer.
- Use a single global lock for all shared resources.
- Use fine-grained locks for individual data elements.
In a multi-threaded application with both read and write operations on shared resources, using read-write locks is an effective approach. Read operations can occur concurrently, while write operations are exclusive. Fine-grained locks might lead to excessive contention and performance degradation. Using a single global lock can lead to contention, while avoiding synchronization altogether can risk data corruption.
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