search
HomeBackend DevelopmentC++Lamport's Bakery Algorithm: Lamport's Bakery Algorithm

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.

    李>

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.

The above is the detailed content of Lamport's Bakery Algorithm: Lamport's Bakery Algorithm. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:tutorialspoint. If there is any infringement, please contact admin@php.cn delete
The Future of C  : Adaptations and InnovationsThe Future of C : Adaptations and InnovationsApr 27, 2025 am 12:25 AM

The future of C will focus on parallel computing, security, modularization and AI/machine learning: 1) Parallel computing will be enhanced through features such as coroutines; 2) Security will be improved through stricter type checking and memory management mechanisms; 3) Modulation will simplify code organization and compilation; 4) AI and machine learning will prompt C to adapt to new needs, such as numerical computing and GPU programming support.

The Longevity of C  : Examining Its Current StatusThe Longevity of C : Examining Its Current StatusApr 26, 2025 am 12:02 AM

C is still important in modern programming because of its efficient, flexible and powerful nature. 1)C supports object-oriented programming, suitable for system programming, game development and embedded systems. 2) Polymorphism is the highlight of C, allowing the call to derived class methods through base class pointers or references to enhance the flexibility and scalability of the code.

C# vs. C   Performance: Benchmarking and ConsiderationsC# vs. C Performance: Benchmarking and ConsiderationsApr 25, 2025 am 12:25 AM

The performance differences between C# and C are mainly reflected in execution speed and resource management: 1) C usually performs better in numerical calculations and string operations because it is closer to hardware and has no additional overhead such as garbage collection; 2) C# is more concise in multi-threaded programming, but its performance is slightly inferior to C; 3) Which language to choose should be determined based on project requirements and team technology stack.

C  : Is It Dying or Simply Evolving?C : Is It Dying or Simply Evolving?Apr 24, 2025 am 12:13 AM

C isnotdying;it'sevolving.1)C remainsrelevantduetoitsversatilityandefficiencyinperformance-criticalapplications.2)Thelanguageiscontinuouslyupdated,withC 20introducingfeatureslikemodulesandcoroutinestoimproveusabilityandperformance.3)Despitechallen

C   in the Modern World: Applications and IndustriesC in the Modern World: Applications and IndustriesApr 23, 2025 am 12:10 AM

C is widely used and important in the modern world. 1) In game development, C is widely used for its high performance and polymorphism, such as UnrealEngine and Unity. 2) In financial trading systems, C's low latency and high throughput make it the first choice, suitable for high-frequency trading and real-time data analysis.

C   XML Libraries: Comparing and Contrasting OptionsC XML Libraries: Comparing and Contrasting OptionsApr 22, 2025 am 12:05 AM

There are four commonly used XML libraries in C: TinyXML-2, PugiXML, Xerces-C, and RapidXML. 1.TinyXML-2 is suitable for environments with limited resources, lightweight but limited functions. 2. PugiXML is fast and supports XPath query, suitable for complex XML structures. 3.Xerces-C is powerful, supports DOM and SAX resolution, and is suitable for complex processing. 4. RapidXML focuses on performance and parses extremely fast, but does not support XPath queries.

C   and XML: Exploring the Relationship and SupportC and XML: Exploring the Relationship and SupportApr 21, 2025 am 12:02 AM

C interacts with XML through third-party libraries (such as TinyXML, Pugixml, Xerces-C). 1) Use the library to parse XML files and convert them into C-processable data structures. 2) When generating XML, convert the C data structure to XML format. 3) In practical applications, XML is often used for configuration files and data exchange to improve development efficiency.

C# vs. C  : Understanding the Key Differences and SimilaritiesC# vs. C : Understanding the Key Differences and SimilaritiesApr 20, 2025 am 12:03 AM

The main differences between C# and C are syntax, performance and application scenarios. 1) The C# syntax is more concise, supports garbage collection, and is suitable for .NET framework development. 2) C has higher performance and requires manual memory management, which is often used in system programming and game development.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.