Skip to content
codingtube

codingtube

Coding and Programming tutorials

  • javascript
  • React
  • ES6
  • React js
  • coding
  • ffmpeg
  • java
  • programming
  • information
  • coding
  • Privacy Policy
  • Twitter trends
  • Age Calculatore
  • Codingtube Community
  • YouTube Tags Generator
  • About
  • Toggle search form

Synchronization in Windows

Posted on December 16, 2021December 16, 2021 By christo No Comments on Synchronization in Windows

The Windows operating system is a multithreaded kernel that provides support for real-time applications and multiple processors. When the Windows kernel accesses a global resource on a single-processor system, it temporarily masks interrupts for all interrupt handlers that may also access the global resource.

On a multiprocessor system, Windows protects access to global resources using spinlocks, although the kernel uses spinlocks only to protect short code segments. Furthermore, for reasons of efficiency, the kernel ensures that a thread will never be preempted while holding a spinlock

For thread synchronization outside the kernel, Windows provides dispatcher objects. Using a dispatcher object, threads synchronize according to several different mechanisms, including mutex locks, semaphores, events, and timers. The system protects shared data by requiring a thread to gain ownership of a mutex to access the data and to release ownership when it is finished

Events are similar to condition variables; that is, they may notify a waiting thread when a desired condition occurs. Finally, timers are used to notify one (or more than one) thread that a specified amount of time has expired.

Dispatcher objects may be in either a signaled state or a non signaled state. An object in a signaled state is available, and a thread will not block when acquiring the object. An object in a non signaled state is not available, and a thread will block when attempting to acquire the object.

A relationship exists between the state of a dispatcher object and the state of a thread. When a thread blocks on a non signaled dispatcher object, its state changes from ready to waiting, and the thread is placed in a waiting queue for that object. When the state for the dispatcher object moves to signaled, the kernel checks whether any threads are waiting on the object. If so, the kernel moves one thread—or possibly more—from the waiting state to the ready state, where they can resume executing. The number of threads the kernel selects from the waiting queue depends on the type of dispatcher object for which it is waiting. The kernel will select only one thread from the waiting queue for a mutex, since a mutex object may be “owned” by only a single thread. For an event object, the kernel will select all threads that are waiting for the event

A critical-section object is a user-mode mutex that can often be acquired and released without kernel intervention. On a multiprocessor system, a critical-section object first uses a spinlock while waiting for the other thread to release the object. If it spins too long, the acquiring thread will then allocate a kernel mutex and yield its CPU.

Critical-section objects are particularly efficient because the kernel mutex is allocated only when there is contention for the object. In practice, there is very little contention, so the savings are significant.

operating system Tags:Synchronization in Windows

Post navigation

Previous Post: JAVA MONITORS
Next Post: Synchronization in Linux

Related Posts

Deadlock Detection operating system
Virtual File Systems in Operating System operating system
System Calls in operating System operating system
Free-Space Management in Operating System operating system
Synchronization in Solaris operating system
Process Scheduling in operating System operating system

Leave a Reply Cancel reply

You must be logged in to post a comment.

Recent Posts

  • Affiliate Marketing Principles
  • The Basics You Need to Know About Affiliate Marketing
  • Affiliate Marketing Options
  • All About Affiliate Marketing
  • Classification of Database Management Systems
  • Three-Tier and n-Tier Architectures
    for Web Applications
  • Two-Tier Client/Server Architectures for DBMSs
  • Basic Client/Server Architectures in DBMS
  • Centralized DBMSs Architecture in DBMS
  • Tools, Application Environments, and Communications Facilities in DBMS

Categories

  • Affiliate marketing (5)
  • Algorithm (43)
  • amp (3)
  • android (223)
  • Android App (8)
  • Android app review (4)
  • android tutorial (60)
  • Artificial intelligence (61)
  • AWS (3)
  • bitcoin (8)
  • blockchain (1)
  • c (5)
  • c language (105)
  • cloud computing (4)
  • coding (4)
  • coding app (4)
  • complex number (1)
  • Computer Graphics (66)
  • data compression (65)
  • data structure (188)
  • DBMS (44)
  • digital marketing (9)
  • distributed systems (11)
  • ffmpeg (26)
  • game (3)
  • html (6)
  • image processing (35)
  • Inequalities (1)
  • information (4)
  • java (212)
  • java network (1)
  • javascript (9)
  • kotlin (4)
  • leetcode (1)
  • math (21)
  • maven (1)
  • mysql (1)
  • Node.js (8)
  • operating system (109)
  • php (310)
  • Principle Of Mathematical Induction (1)
  • programming (6)
  • Python (4)
  • Python data structure (9)
  • React native (1)
  • React.js (22)
  • Redux (1)
  • seo (4)
  • set (12)
  • trigonometry (6)
  • vue.js (35)
  • XML (3)

sitemap

sitemap of videos

sitemap of webstories

sitemap of website

  • Affiliate marketing
  • Algorithm
  • amp
  • android
  • Android App
  • Android app review
  • android tutorial
  • Artificial intelligence
  • AWS
  • bitcoin
  • blockchain
  • c
  • c language
  • cloud computing
  • coding
  • coding app
  • complex number
  • Computer Graphics
  • data compression
  • data structure
  • DBMS
  • digital marketing
  • distributed systems
  • ffmpeg
  • game
  • html
  • image processing
  • Inequalities
  • information
  • java
  • java network
  • javascript
  • kotlin
  • leetcode
  • math
  • maven
  • mysql
  • Node.js
  • operating system
  • php
  • Principle Of Mathematical Induction
  • programming
  • Python
  • Python data structure
  • React native
  • React.js
  • Redux
  • seo
  • set
  • trigonometry
  • vue.js
  • XML
  • Blog
  • Data compression tutorial - codingpoint
  • How to change mbstring in php 5.6
  • How to diagnose out of memory killed PHP-FPM
  • Introduction to jQuery
  • Privacy
  • Affiliate marketing
  • Algorithm
  • amp
  • android
  • Android App
  • Android app review
  • android tutorial
  • Artificial intelligence
  • AWS
  • bitcoin
  • blockchain
  • c
  • c language
  • cloud computing
  • coding
  • coding app
  • complex number
  • Computer Graphics
  • data compression
  • data structure
  • DBMS
  • digital marketing
  • distributed systems
  • ffmpeg
  • game
  • html
  • image processing
  • Inequalities
  • information
  • java
  • java network
  • javascript
  • kotlin
  • leetcode
  • math
  • maven
  • mysql
  • Node.js
  • operating system
  • php
  • Principle Of Mathematical Induction
  • programming
  • Python
  • Python data structure
  • React native
  • React.js
  • Redux
  • seo
  • set
  • trigonometry
  • vue.js
  • XML
  • Blog
  • Data compression tutorial - codingpoint
  • How to change mbstring in php 5.6
  • How to diagnose out of memory killed PHP-FPM
  • Introduction to jQuery
  • Privacy

© codingtube.tech