![]() Generally, it’s critical to implement an efficient storage solution if the number of concurrent read and writes operations are more.įurthermore, we should also consider the cost and complexity of the existing strategies for managing concurrent read and write operations. Additionally, we need to estimate the expected workload. The first step in designing an efficient storage solution is understanding the implications of concurrent read and write operations. Let’s discuss how to design a solution for efficient storage with four simple steps: Now we know the various techniques which can handle concurrent read and write operations. It requires additional space on the physical storage device, resulting in the reduction of overall system capacity. As a result, it increases the system’s complexity.Ĭaching is another method that can reduce the impact of concurrent read and write operations by temporarily storing data in a separate, high-speed memory location. ![]() The main disadvantage of this technique is that it requires additional coordination between multiple processes. It’s a value stored in memory, and different processes can modify it. The usage of exclusive locks may create scenarios where readers and writers compete for access to the same resource, potentially resulting in a bottleneck.Ī semaphore is a synchronization object that controls access by multiple processes or threads to shared resources in a parallel programming environment. Additionally, the writers need to obtain a lock before writing. The readers need to acquire a lock before reading. When a process or thread holds an exclusive lock on a resource, no other process or thread can access or modify the resource until we release the lock.Įxclusive locks are easy to use but not efficient in practice. Exclusive locks are the most straightforward technique for handling concurrent read and write operations.
0 Comments
Leave a Reply. |