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Working with Containers of Mutexes
In modern multi-threaded programming, safeguarding access to shared resources is crucial. Mutexes provide an effective mechanism for this purpose. However, leveraging containers like std::vector
Alternatives to std::vector
To overcome this limitation, consider alternative containers such as std::deque or std::forward_list. These containers do not impose strict requirements on their elements' movability, allowing you to store mutexes within them. By utilizing functions like emplace() or resize() for element construction, you can effectively manage the size of your container without causing errors.
Additional Considerations
Certain operations, such as insert() and push_back(), will not be supported with the aforementioned containers. Therefore, direct insertion into the collection should be done during object construction or via functions like emplace().
Alternative Approaches
Aside from container-based solutions, consider the following approaches:
Selection Criteria
The best approach depends on specific requirements. Fixed-size mutex pools may be viable if the number of accessed objects is predictable. Wrapper classes offer a convenient but indirection-introducing solution. Dynamic memory management provides flexibility but carries a performance overhead due to heap allocation.
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