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Lamport's Bakery Algorithm: Lamport's Bakery Algorithm

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A synchronization method called Lamport's Bakery method solves the critical section problem in parallel computing systems. When multiple processes need to use a shared resource simultaneously but only one process can do so, this is called a critical section problem. To avoid conflicts and guarantee system accuracy, the challenge is to ensure that each process uses resources in a mutually exclusive manner.

Pseudocode of Lamport baking algorithm

Here is the pseudocode of Lamport’s baking algorithm -

  • Initialize an array (called "select") of size N, where N is the total number of processes, to all zeros.

  • Initialize an array, called number, of size N, all zeros.

  • Each process i will execute the following code when it wants to enter the critical section -

    • Set selection[i] = 1

    • Set number[i] = max(number[0], number[1], ..., number[N-1]) 1

    • Set selection[i] = 0

    • For each other process j, repeat until (number[j] == 0) or (number[i], i)

    • Enter the key part

  • Each process i will execute the following code when leaving the critical section -

    • Set number[i] = 0

Lamport's Bakery Algorithm:Lamport面包店算法

Lanport Baking Algorithm Code

Here is a piece of code explaining the practical application of Lamport's baking algorithm. We will use C as the implementation language in this example.

#include <iostream>
#include <atomic>
#include <thread>

#define N 5 
// total number of processes
using namespace std;

atomic<bool> entering[N] = {false}; 
// to keep track of which process is currently trying to enter critical section
atomic<int> number[N] = {0}; 
// to hold the ticket number for each process

void process(int i) {
   while (true) {
      // Step 1: Get ticket number
      entering[i] = true;
      int max_number = 0;
      for (int j = 0; j < N; j++) {
         if (number[j] > max_number) {
            max_number = number[j];
         }
      }
      number[i] = max_number + 1;
      entering[i] = false;

      // Step 2: Wait until it is this process's turn to enter the critical section
      for (int j = 0; j < N; j++) {
         while (entering[j]) {} 
         // wait until process j has finished choosing its ticket number
         while ((number[j] != 0) && ((number[j] < number[i]) || ((number[j] == number[i]) && j < i))) {} 
         // busy wait until it is this process's turn to enter the critical section
      }

      // Step 3: Enter the critical section
      cout << "Process " << i << " enters the critical section." << endl;
      // perform critical section operations here

      // Step 4: Exit the critical section
      number[i] = 0;
      cout << "Process " << i << " exits the critical section." << endl;
      // perform remainder section operations here
   }
}

int main() {
   // create threads for each process
   thread t[N];
   for (int i = 0; i < N; i++) {
      t[i] = thread(process, i);
   }

   // join threads
   for (int i = 0; i < N; i++) {
      t[i].join();
   }
   return 0;
}

Output

Process 0 enters the critical section.
Process 0 exits the critical section.
Process 1 enters the critical section.
Process 1 exits the critical section.
Process 2 enters the critical section.
Process 2 exits the critical section.
Process 3 enters the critical section.
Process 3 exits the critical section.
Process 0 enters the critical section.
Process 0 exits the critical section.
Process 1 enters the critical section.
Process 1 exits the critical section.
Process 4 enters the critical section.
Process 4Process  exits the critical section.2
.............

Advantages of Lamport baking algorithm

The advantages of Lamport’s baking algorithm are listed below -

  • Fairness is ensured by providing different tokens to processes or threads requesting access to shared resources.

  • Distributing tokens based on specified values ​​prevents starvation.

  • Use token-based strategies that are simple and easy to understand and execute.

  • Efficient and does not require complex data structures or inter-process interactions.

  • It provides mutual exclusion without specialized hardware or hardware assistance.

  • It has a wide range of applications and strong adaptability. It can be applied to a variety of different scenarios to ensure fairness and mutual exclusion of concurrent calculations.

  • A useful tool for software engineers working on distributed or parallel systems.

Disadvantages of Lamport baking algorithm

  • Busy Wait - This algorithm calls busy wait, which can lead to inefficiency and high CPU utilization, especially when there are a large number of processes or threads competing for access to the same shared resource.

  • hunger - Although the algorithm ensures justice, there are no safeguards. Occasionally, a process or thread may be repeatedly stopped, which prevents it from obtaining a token and accessing resources.

  • Overhead - This algorithm requires more memory and processing time to determine the token sequence because it requires storing state information for each process or thread.

  • Complexity - Application of the algorithm can be difficult because it must carefully handle race conditions and deadlocks, and may use synchronization mechanisms such as mutexes or semaphores.

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in conclusion

A mutually exclusive algorithm called Lamport's baking algorithm ensures that individual processes or threads can take advantage of shared resources without interfering with each other. It's a simple algorithm that prevents starvation and ensures justice.

The algorithm works by assigning a token to each process or thread that makes a resource access request, and then comparing the values ​​of these tokens to determine the order in which they were given. The resource is available first to operations with the fewest tokens.

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