What is race condition in threads?
A race condition occurs when two threads access a shared variable at the same time. Then the first thread and second thread perform their operations on the value, and they race to see which thread can write the value last to the shared variable.
What is race condition in multithreading and how can we solve it?
A race condition occurs when two or more threads can access shared data and they try to change it at the same time. Because the thread scheduling algorithm can swap between threads at any time, you don’t know the order in which the threads will attempt to access the shared data.
How many processes are allowed in their critical section if the race condition is to be prevented from happening?
Mutual exclusion implies that only one process can be inside the critical section at any time. If any other processes require the critical section, they must wait until it is free. Progress means that if a process is not using the critical section, then it should not stop any other process from accessing it.
What is race condition explain with an example?
A simple example of a race condition is a light switch. In computer memory or storage, a race condition may occur if commands to read and write a large amount of data are received at almost the same instant, and the machine attempts to overwrite some or all of the old data while that old data is still being read.
What are the steps of removing race condition?
Race conditions can be avoided by proper thread synchronization in critical sections. Thread synchronization can be achieved using a synchronized block of Java code. Thread synchronization can also be achieved using other synchronization constructs like locks or atomic variables like java.
What is the solution for race condition?
The usual solution to avoid race condition is to serialize access to the shared resource. If one process gains access first, the resource is “locked” so that other processes have to wait for the resource to become available.