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Process Synchronization
Process Synchronization
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Process Synchronization
In computer science, synchronization refers to one of two distinct but related concepts: synchronization of processes, and synchronization of data. Process synchronization refers to the idea that multiple processes are to join up or handshake at a certain point, in order to reach an agreement or commit to a certain sequence of action. Data synchronization refers to the idea of keeping multiple copies of a dataset in coherence with one another, or to maintain data integrity. Process synchronization primitives are commonly used to implement data synchronization.
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These are the topics along with their Simulations
Producer Consumer Problem
The banker's algorithm is a resource allocation and deadlock avoidance algorithm that tests for safety by simulating the allocation for predetermined maximum possible amounts of all resources, then makes an “s-state” check to test for possible activities, before deciding whether allocation should be allowed to continue
Readers Writers Problem
The readers-writers problem relates to an object such as a file that is shared between multiple processes. Some of these processes are readers i.e. they only want to read the data from the object and some of the processes are writers i.e. they want to write into the object.
F.A.Q
Frequently Asked Questions
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Why is it important to synchronize processes ?
Process synchronization needs to be implemented to prevent data inconsistency among processes, process deadlocks, and prevent race conditions, which are when two or more operations are executed at the same time, not scheduled in the proper sequence and not exited in the critical section correctly.
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How are processes normally synchronized ?
Process Synchronization means coordinating the execution of processes such that no two processes access the same shared resources and data. It is required in a multi-process system where multiple processes run together, and more than one process tries to gain access to the same shared resource or data at the same time.