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  • README
  • ALGORITHM
    • Sieve of Eratosthenes
    • Lcm, Gcd
    • Sorting Array
    • Round Up
    • Binary Search
    • Union Find
  • Books
    • CS Note for Interview
      • Ch1. Design Pattern & Programming paradigm
        • 1.1.1 Singleton Pattern
        • 1.1.2 Factory Pattern
        • 1.1.4 Observer Pattern
        • 1.1.5 Proxty Pattern & Proxy Server
        • 1.1.8 Model-View-Controller Pattern
        • 1.2.1 Declarative and Functional Programming
        • 1.2.2 Object Oriented Programming
      • Ch2. Network
        • 2.2.1 TCP/IP Four-Layer Model
        • 2.2.1-1 TCP 3, 4 way handshake
        • 2.3 Network Devices L4, L7
        • 2.4.1 ARP, RARP
        • 2.4.2 Hop By Hop Communication
        • 2.4.3 IP Addressing Scheme
      • Ch3. Operating System
        • 3.1.1 Roles and Structure of Operating Systems
        • 3.2.1 Memory Hierarchy
        • 3.2.2 Memory Management
        • 3.3.1 Processes and Compilation Process
        • 3.3.3 Memory Structure of a Process
        • 3.3.4 Process Control Block (PCB)
        • 3.3.5 Multiprocessing
        • 3.3.6 Threads and Multithreading
        • 3.3.7 Shared Resources and Critical Sections
        • 3.3.8 Deadlock
        • 3.4 CPU Scheduling Algorithm
      • Ch4. Database
        • 4.1 Database Basic
        • 4.2 Normalization
        • 4.3 Transaction and Integrity
        • 4.4 Types of Databases
        • 4.5 Indexes
        • 4.6 Types of Joins
        • 4.7 Principles of Joins
      • Ch5. Data Structure
    • Learning the Basics of Large-Scale System Design through Virtual Interview Cases
      • 1. Scalability based on user counts(1/2)
      • 1. Scalability based on user counts(2/2)
      • 2.Back-of-the-envelope estimation
      • 3. Strategies for System Design Interviews
      • 4. Rate Limiter
      • 5. Consistent Hashing
      • 6. Key-Value System Design
      • 7. Designing a Unique ID Generator for Distributed Systems
      • 8. Designing a URL Shortener
      • 9. Designing a Web Crawler
      • 10. Notification System Design
      • 11. Designing a News Feed System
      • 12. Chat System Design
      • 13. AutoComplete
      • 14. Design YouTube
      • 15. Design Google Drive
      • Loadbalancer Algorithms
      • Cache tier
      • CDN, Content Delivery Network
      • Stateless Web tier
    • Computer System A programmer's perspective
    • Effective Java
      • Item 1. Consider Static Factory Methods Instead of Constructors
      • Item 2. Consider a Builder When Faced with Many Constructor Parameters
      • Item 3. Ensure Singleton with Private Constructor or Enum Type
      • Item 4. Enforce Noninstantiability with a Private Constructor
      • Item 5. Prefer Dependency Injection to Hardwiring Resources
      • Item 6. Avoid Creating Unnecessary Objects
      • Item 7. Eliminate Obsolete Object References
      • Item 8. Avoid Finalizers and Cleaners
      • Item 9.Prefer try-with-resources to try-finally
      • Item10. Adhering to General Rules When Overriding equals
        • Handling Transitivity Issues
        • Ensuring Consistency
      • Item11. Override hashCode When You Override equals
      • Item12. Always Override toString
        • Always Override toString
      • Item13. Override Clone Judiciously
      • Item14. Consider Implementing Comparable
      • Item15. Minimize the Accessibility of Classes and Members
      • Item16. Accessor Methods Over Public Fields
      • Item17. Minimize Mutability
      • Item18. Composition over inherentance
      • Item19. Design and Document for Inheritance, or Else Prohibit It
      • Item20. Prefer Interfaces to Abstract Classes
      • Item21. Design Interfaces with Implementations in Mind
      • Item22. Use Interfaces Only to define Types
      • Item23. Prefer Class Hierarchies to Tagged Classes
      • Item24. Favor Static Member Classes Over Non-Static
      • Item28. Use Lists Instead of Arrays
      • Item29. Prefer Generic Types
      • Item30. Favor Generic Methods
    • Head First Design Patterns
      • Ch1. Strategy Pattern
      • Ch2. Observer Pattern
        • Ver1. Ch2. Observer Pattern
      • Ch3. Decorator Pattern
        • Ch3. Decorator Pattern
      • Ch4. Factory Pattern
      • Ch5. Singleton Pattern
      • Ch6. Command Pattern
      • Ch7. Adapter and Facade Pattern
      • Ch8. Template Method Pattern
    • Digging Deep into JVM
      • Chapter 2. Java Memory Area & Memory Overflow
      • Chapter 3. Garbage Collector & Memory Allocation Strategy (1/2)
      • Chapter 3. Garbage Collector & Memory Allocation Strategy (2/2)
      • Chapter 5. Optimization Practice
      • Chapter 6. Class file structure
  • Interview Practices
    • Restful API Practices
      • Url Shortener API
      • Event Ticket Reservation API
      • Course Management API
      • Search posts by tags API
      • Online Code platform API
      • Simple Task Management API
      • Event Participation API
      • Review System API
      • Car management API
      • Online Library
    • Naver Computer Science
      • Process & Thread
      • TCP & UDP
      • Spring & Servlet
      • Filter & Interceptor & AOP
      • Equals() & ==
      • Dependency Injection
  • F-Lab
    • Week1
      • Client & Server
      • HTTP
      • TCP/UDP
      • REST API
      • Questions
        • Object Oriented Programming
        • HTTP
        • Process & Thread
        • Data Structure
    • Week2
      • OSI 7 layer
      • Web vs WAS
    • Week3
      • RDB vs NoSQL
      • RDB Index
      • Cache
      • Redis
      • Messaging Queue
    • Week4
      • Project - Ecommerce
    • Week5
      • ERD - 1
    • Week6
      • Ecommerce - 2
      • Role
      • pw hashing && Salt
      • CreatedAt, ModifiedAt
      • JWT
      • Copy of ERD - 1
    • Week7
      • Vault (HashiCorp Vault)
    • Week 8
      • Api Endpoints
  • Week10
    • Product Create Workflow
  • TOY Project
    • CodeMentor
      • Implementation of Kafka
      • Implementation of K8s
      • Communication between servers in msa
  • JAVA
    • Java 101
      • JVM Structure
      • Java Compiles and Execution Method
      • Override, Overload
      • Interface vs Abstract Class
      • Primitive vs Object Type
      • Identity and equality
      • String, StringBuilder, StringBuffer
      • Checked Exceptions and Unchecked Exceptions
      • Java 8 methods
      • Try-with-reources
      • Strong Coupling and Loose Coupling
      • Serialization and Deserialization
      • Concurrency Programming in Java
      • Mutable vs Immutable
      • JDK vs JRE
    • Java Questions
      • Week 1(1/2) - Basic Java
      • Week 1(2/2) - OOP
      • Week 2(1/2) - String, Exception, Generic
      • Week2(2/2) Lambda, Stream, Annotation, Reflection
      • Week3(1/2) Collections
      • Week3(2/2) Threads
      • Week4 Java Concurrency Programming
      • Week5 JVM & GC
    • Batch delete instead of Cascade
    • Checked vs Unchecked Exception
    • Thread
    • Memory Visibility
    • Synchronized && ReentrantLock
    • Producer & Consumer
    • BlockingQueue
    • CAS (Compare and Set)
  • SPRING
    • Spring Questions
      • Spring Framework
      • Spring MVC & Web Request
      • AOP (Aspect-Oriented Programming)
      • Spring Boot
      • ORM & Data Access
      • Security
      • ETC
    • using profile name as variable
    • Template Method Pattern
    • Strategy Pattern
    • Proxy Pattern
    • @Transactional
    • Ioc container, di practice
  • Programming Paradigm
    • Declarative vs Imperative
  • JPA
    • Template Page
  • PYTHON
    • Icecream
  • FASTAPI
    • Template Page
  • COMPUTER SCIENCE
    • Computer Architecture 101
      • 3 components of a computer
      • RAM vs ROM
      • CPU vs GPU
      • SIMD
      • Two's complement
      • Harvard Architecture vs. von Neumann Architecture
      • The structure of a CPU.
      • Instruction cycle (CPU operation method)
      • Instruction pipelining
      • Bus
      • Memory area
      • Memory hierarchy structure
        • Reason for using memory hierarchy structure
      • Cache memory
      • L1, L2, L3 Cache
      • Locality of reference (cache)
      • Fixed-point vs Floating-point
        • epresentation of infinity and NaN (Not a Number) in floating-point
      • RISC vs CISC
      • Hamming code
      • Compiler
      • Linking
      • Compiler vs Interpreter
      • Mutex vs Semaphore
      • 32bit CPU and 64bit CPU
      • Local vs Static Variable
      • Page
  • OS
    • Operating System 101
      • Operating system
        • The role of the operating system
        • The composition of the operating system.
      • Process
        • In Linux, are all processes except the initial process child processes?
        • Zombie process, orphan process
        • (Linux) Daemon process
        • Process address space
        • Where are uninitialized variables stored?
        • Determination of the size of the Stack and Heap
        • Access speed of Stack vs Heap
        • Reason for memory space partitioning
        • Process of compiling a process
        • sudo kill -9 $CURRENT_PID
      • Thread
        • Composition of a thread's address space
      • Process vs Thread
        • Creation of processes and threads in Linux
      • Multiprocessing
        • Web Browser
        • Implementation of multiprocessing
        • Application areas of multiprocessing
      • Multithreading
        • Application areas of multithreading
      • Interrupt
        • HW / SW Interrupt
        • Method of handling interrupts
        • Occurrence of two or more interrupts simultaneously
      • Polling
      • Dual Mode
        • Reason for distinguishing between user mode and kernel mode
      • System call
        • Differentiation between system calls
        • Types of system calls
        • Execution process of a system call
      • Process Control Block (PCB)
        • PCB의 구조
        • 쓰레드는 PCB를 갖고 있을까?
        • 프로세스 메모리 구조
      • Context switching
        • Timing of context switching
        • Registers saved during context switching
        • Context switching in processes
        • Context switching in threads
        • Difference between context switching in processes and threads
        • Information of the current process during context switching
      • Interprocess Communication (IPC)
        • Cases where IPC is used
        • Process address space in IPC Shared Memory technique
        • Types of IPC
    • Operating System Questions
      • Week1 OS & How Computer Systems Work
      • Week2(1/2) Process
      • Week2(2/2) Thread
      • Week3 CPU Scheduling
      • Week4 Process Synchronize
      • Week5 Virtual Memory
  • LINUX
    • Template Page
  • SERVER
    • Template Page
  • NETWORK
    • Network 101
      • https://www.google.com
      • TCP vs UDP
      • Http vs Https
      • TLS Handshake 1.2
      • HTTP Method
      • CORS & SOP
      • Web Server Software
    • Network Questions
      • Week1 Computer Network Basic
      • Week2(1/3) Application Layer Protocol - HTTP
      • Week2(2/3) Application Layer Protocol - HTTPS
      • Week2(3/3) Application Layer Protocol - DNS
      • Week3 Application Layer
      • Week4 Transport Layer - UDP, TCP
      • Week5 Network Layer - IP Protocol
    • Blocking, NonBlocking and Sync, Async
    • HTTP 0.9-3.0
  • DATABASE
    • Database Questions
      • Week1 DBMS, RDBMS basics
      • Week2 SQL
      • Week3 Index
      • Week4 Anomaly, Functional Dependency, Normalization
      • Week5 DB Transaction, Recovery
    • Normalization
      • 1st Normal Form
      • 2nd Normal Form
      • 3rd Normal Form
    • Ensuring Data Consistency, Atomicity and UX Optimization (feat.Firebase)
    • Redis: Remote Dictionary Server
    • Enhancing Query Performance - User list
  • DATA STRUCTURE
    • Array vs Linked List
    • Counting Sort
  • GIT, Github
    • git clone, invalid path error
  • INFRA
    • Template Page
  • AWS
    • Server Log Archive Pipeline
    • Image Processing using Lambda
  • DOCKER
    • Docker commands
    • Python Executable Environment
    • Docker and VM
  • docker-compose
    • Kafka, Multi Broker
  • KUBERNATES
    • !Encountered Errors
      • my-sql restarts
      • kafka producer: disconnected
    • Kubernetes Components
    • Helm
      • Helm commands
    • Pod network
    • Service network
      • deployment.yaml
      • services.yaml
    • Service type
      • Cluster IP
      • NodePort
    • service-name-headless?
    • kube-proxy
    • Template Page
  • GraphQL
    • Template Page
  • WEB
    • Template Page
  • Reviews
    • Graphic Intern Review
    • Kakao Brain Pathfinder Review
    • JSCODE 자바 1기 Review
  • 😁Dev Jokes
    • Image
      • Plot twist
      • Priorities
      • SQL join guide
      • Google is generous
      • Genie dislikes cloud
      • buggy bugs
      • last day of unpaid internship
      • what if clients know how to inspect
      • its just game
      • how i wrote my achievement on resume
      • self explanatory
      • chr(sum(range(ord(min(str(not))))))
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  1. OS
  2. Operating System 101

Process vs Thread

프로세스 vs 스레드

  • 프로그램

    명령어들의 집합, 수동적인 상태이며 디스크 안에 저장되어있다.

  • 프로세스

    실행 중인 프로그램, 운영체제로 부터 실행에 필요한 자원을 할당 받은 능동적인 상태

  • 스레드

    프로세스가 할당받은 자원을 이용하는 실행단위

자원 공유 여부

프로세스는 독립된 메모리 공간을 사용하므로, 서로 다른 프로세스는 데이터 공유가 불가능합니다. 반면에, 스레드는 동일한 메모리 공간을 사용하므로, 데이터 공유가 가능합니다.

생성 비용

프로세스는 프로세스 간 전환 및 IPC를 위한 자원이 필요하므로, 프로세스 생성 비용이 스레드 생성 비용보다 높습니다.

독립성

프로세스는 각각 독립된 인스턴스이므로, 한 프로세스가 다운되더라도 다른 프로세스는 영향을 받지 않습니다. 반면에, 스레드는 하나의 프로세스 내에서 실행되므로, 한 스레드의 오류로 인해 전체 프로세스가 중단될 수 있습니다.

CPU 이용률

스레드는 동일한 프로세스 내에서 실행되므로, 프로세스 간 전환보다CPU 이용률이 높습니다. 따라서, 멀티 스레드 프로그래밍을 통해, CPU 이용률을 향상시킬 수 있습니다.

동기화와 교착상태

스레드는 공유 메모리를 사용하기 때문에, 동기화 문제가 발생할 수 있습니다. 또한, 서로 다른 스레드가 서로 상대방의 자원을 점유하고 대기하면서 아무것도 진행하지 못하는 교착상태(deadlock)가 발생할 수 있습니다.

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Last updated 1 year ago