In a real-time application, you need to frequently update data in a linked list while maintaining its integrity. How would you ensure data consistency and efficiency in these updates?
- Use locking mechanisms such as mutexes or semaphores to implement thread-safe operations on the linked list.
- Implement a copy-on-write strategy where modifications create a new copy of the list, ensuring the original remains intact.
- Utilize atomic operations and compare-and-swap (CAS) instructions for lock-free updates to the linked list.
- Implement a versioning system where each update creates a new version of the list, allowing for rollback if needed while maintaining consistency.
Option 3 suggests using atomic operations and compare-and-swap (CAS) instructions for lock-free updates to the linked list. This approach ensures data consistency in a real-time environment without introducing overhead from locking mechanisms or copy-on-write strategies. Atomic operations guarantee that updates are performed atomically, preventing race conditions and maintaining efficiency in frequent data updates.
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