Operating Systems | Module 3: Inter-process Communication (IPC) and Synchronization by Prakhar Chauhan | Learn Smarter
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Module 3: Inter-process Communication (IPC) and Synchronization

The chapter explores inter-process communication (IPC) and synchronization, detailing race conditions and the critical section problem, synchronization tools such as mutexes, semaphores, monitors, and various IPC mechanisms. It emphasizes the importance of proper synchronization in concurrent programming to avoid issues such as race conditions, deadlocks, and starvation by utilizing designed algorithms and structures.

Sections

  • 3

    Module 3: Inter-Process Communication (Ipc) And Synchronization

    This module covers race conditions, critical section problems, synchronization tools, and various inter-process communication mechanisms.

  • 3.1

    Race Conditions And Critical Section Problem

    Race conditions manifest in concurrent programming when multiple threads access shared resources unpredictably, necessitating critical section management to avoid data inconsistency.

  • 3.1.1

    Definition Of Race Conditions

    Race conditions occur when multiple processes or threads access shared resources concurrently, leading to unpredictable results.

  • 3.1.2

    Requirements For Critical Section Solution

    This section outlines the essential requirements for solutions to the critical section problem, crucial for preventing race conditions in concurrent programming.

  • 3.2

    Synchronization Tools

    Synchronization tools are mechanisms that help manage concurrent access to shared resources and ensure that race conditions do not occur.

  • 3.2.1

    Mutex Locks

    Mutex locks are essential synchronization primitives that ensure mutual exclusion, allowing only one process to access shared resources at a time.

  • 3.2.2

    Semaphores (Counting And Binary)

    This section introduces semaphores, a synchronization tool used to manage concurrent access to shared resources in programming.

  • 3.2.2.1

    Counting Semaphores

    Counting semaphores allow control of access to a finite number of shared resources by managing resource acquisition and release.

  • 3.2.2.2

    Binary Semaphores

    Binary semaphores are fundamental synchronization primitives used for controlling access to shared resources in concurrent programming, preventing race conditions.

  • 3.2.3

    Classic Synchronization Problems

    Classic synchronization problems exemplify common challenges faced in concurrent programming, illustrating the necessity of effective synchronization mechanisms.

  • 3.2.3.1

    Producer-Consumer Problem

    The Producer-Consumer Problem illustrates challenges in synchronization between processes that produce and consume data in a shared buffer.

  • 3.2.3.2

    Readers-Writers Problem

    The Readers-Writers Problem addresses a scenario where multiple processes access shared resources, emphasizing the balance between allowing concurrent reads and ensuring exclusive writes.

  • 3.2.3.3

    Dining Philosophers Problem

    The Dining Philosophers Problem illustrates the challenges of resource allocation and synchronization in concurrent programming, highlighting issues like deadlock and starvation.

  • 3.3

    Monitors

    Monitors are a high-level synchronization construct that simplifies the management of shared data in concurrent programming by encapsulating shared variables and their associated procedures.

  • 3.3.1

    Concepts And Advantages

    Monitors are high-level synchronization constructs that simplify concurrent programming by encapsulating shared data and operations.

  • 3.3.2

    Condition Variables

    Condition variables allow processes to wait until a specific condition is true within a monitor, facilitating effective synchronization and coordination among concurrent processes.

  • 3.4

    Ipc Mechanisms

    IPC mechanisms facilitate communication and synchronization between independent processes, essential for cooperative programming.

  • 3.4.1

    Shared Memory

    Shared memory is a fast inter-process communication (IPC) mechanism that allows multiple processes to access a common memory space for communication.

  • 3.4.2

    Message Passing

    Message passing is an inter-process communication mechanism where processes communicate by sending discrete messages instead of sharing memory, managed by the operating system.

  • 3.4.3

    Pipes, Fifos

    Pipes and FIFOs are essential inter-process communication mechanisms that facilitate data transfer between processes, both related and unrelated.

  • 3.4.4

    Sockets (Brief Introduction For Ipc)

    Sockets are a versatile and widely-used mechanism for inter-process communication (IPC), facilitating communication between processes both on the same machine and across networks.

Class Notes

Memorization

What we have learnt

  • Race conditions occur when ...
  • Effective synchronization m...
  • Various IPC mechanisms like...

Final Test

Revision Tests