Download presentation
Presentation is loading. Please wait.
Published byHugh Norris Modified over 9 years ago
1
Chapter 4: Threads
2
4.2 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Chapter 4: Threads Overview Multithreading Models Threading Issues Pthreads Windows XP Threads Linux Threads Java Threads
3
4.3 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Threaded Applications Web browsers: display and data retrieval Web servers Many others
4
4.4 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Threads What is a thread ? Lightweight Process (LWP)? Basic unit of CPU utilization Contains Thread ID Program counter Register set Stack Why multithreading ? Creating processes are expensive Other advantages
5
4.5 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Single and Multithreaded Processes
6
4.6 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Benefits Responsiveness Resource Sharing share memory and resources of the process they belong to Sharing code and data allow different threads of activity within the same address space Economy Processes are expensive to create, and do context-switch In Solaris Process creating is about 30 times slower Context-switch is about 5 times slower Utilization of MP Architectures A single-threaded process can only run on one CPU
7
4.7 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts User Threads Thread management (creation, scheduling) done by user-level threads library Drawback Blocking system call suspends other threads in the same process Three primary thread libraries: POSIX Pthreads Win32 threads Java threads
8
4.8 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Kernel Threads Supported by the Kernel Advantages Non-blocking thread execution Multi-processors (threads on different processors) Drawback Slower to create and manage than user-level Examples Windows XP/2000 Solaris Linux Tru64 UNIX Mac OS X
9
4.9 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Multithreading Models Many-to-One One-to-One Many-to-Many
10
4.10 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Many-to-One Many user-level threads mapped to single kernel thread Thread management is done by thread lib. in user space; so, it is efficient. But, a thread making a blocking system call block the entire process Multiple threads cannot run in parallel on MP computers (only one thread can access the kernel at a time) Used on systems that do not support kernel threads. Examples: Solaris Green Threads GNU Portable Threads
11
4.11 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Many-to-One Model
12
4.12 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts One-to-One Each user-level thread maps to a kernel thread More concurrency than many-to-one: allowing another thread to run when a thread makes a blocking system call; allowing multiple threads running on MP computers as well Overhead: creating a kernel thread upon a user thread Examples Windows NT/XP/2000 Linux Solaris 9 and later
13
4.13 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts One-to-one Model
14
4.14 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Many-to-Many Model Allows many (K) user level threads to be mapped to many (M) kernel threads: M<=K Allows the operating system to create a sufficient number of kernel threads without overburdening the system Solaris prior to version 9 Windows NT/2000 with the ThreadFiber package
15
4.15 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Many-to-Many Model
16
4.16 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Two-level Model Similar to M:M, except that it allows a user thread to be bound to kernel thread Examples IRIX HP-UX Tru64 UNIX Solaris 8 and earlier
17
4.17 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Two-level Model
18
4.18 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Threading Issues Due to multithreading: Semantics of fork() and exec() system calls Thread cancellation Signal handling Thread pools Thread specific data Scheduler activations
19
4.19 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Semantics of fork() and exec() Does fork() duplicate only the calling thread (single-threaded process) or all threads? It depends on applications Example: if call exec() after fork?
20
4.20 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Thread Cancellation Terminating a thread before it has finished Examples Multiple threads are concurrently doing the same task Cancel web browser’s on-going tasks Two general approaches: Asynchronous cancellation terminates the target thread immediately Deferred cancellation allows the target thread to periodically check if it should be cancelled
21
4.21 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Signal Handling Signals are used in UNIX systems to notify a process that a particular event has occurred A signal handler (user-defined handler overrides default handler) is used to process signals Signal is generated by particular event Signal is delivered to a process Signal is handled Depends on signal type Synchronous signals (e.g., division by 0, illegal memory access) delivered to the thread causing the signal Asynchronous signals have options Options: Deliver the signal to the thread to which the signal applies Deliver the signal to every thread in the process, e.g, ctrl-c Deliver the signal to certain threads in the process: kill(aid, signal) Assign a specific thread to receive all signals for the process
22
4.22 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Thread Pools Create a number of threads in a pool where they await work Advantages: Usually slightly faster to service a request with an existing thread than create a new thread Allows the number of threads in the application(s) to be bound to the size of the pool
23
4.23 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Thread Specific Data Threads belonging to a process share the data of the process Allows each thread to have its own copy of data Useful when you do not have control over the thread creation process (i.e., when using a thread pool)
24
4.24 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Scheduler Activations Both M:M and Two-level models require communication to maintain the appropriate number of kernel threads allocated to the application by an immediate data structure called LWP (light-weight process), a virtual processor LWP runs a user thread; LWP maps to a kernel thread which the OS schedules to run on the physical processor Scheduler activations provide upcalls - a communication mechanism from the kernel to the thread library; upcall handler perform the task, mapping a user thread to a new LWP, or removing a user thread being blocked from a LWP The kernel provides a LWP for a user thread This communication allows an application to maintain the correct number kernel threads
25
4.25 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Pthreads A POSIX standard (IEEE 1003.1c) API for thread creation and synchronization API specifies behavior of the thread library, implementation is up to development of the library Common in UNIX operating systems (Solaris, Linux, Mac OS X)
26
4.26 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Windows XP Threads Implements the one-to-one mapping Each thread contains A thread id Register set Separate user and kernel stacks Private data storage area The register set, stacks, and private storage area are known as the context of the threads The primary data structures of a thread include: ETHREAD (executive thread block) KTHREAD (kernel thread block) TEB (thread environment block)
27
4.27 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Linux Threads Linux refers to them as tasks rather than threads Thread creation is done through clone() system call clone() allows a child task to share the address space of the parent task (process)
28
4.28 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Java Threads Java threads are managed by the JVM Java threads may be created by: Extending Thread class Implementing the Runnable interface
29
4.29 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Java Thread States
30
4.30 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Project1: Unix Shell with History Feature Goals Descriptions Methodology Submission
31
4.31 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Goals Understand how a simple shell works. Understand systems calls, such as fork, read, wait, execvp, and etc. Understand signal handling mechanisms
32
4.32 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Descriptions Demo command> ls commnad> cat proj1.c command> ctr-c command> ctr-d Input: commands from keyboard Fork a child process to perform the command Store the past commands in a buffer Given a signal, display the most recent commands in the buffer Ctrl-C terminates the shell
33
4.33 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Methodology How to get the command from the keyboard? Use system call read() with STDIN_FILENO Implement a setup() void setup(char inputBuffer[], char *args[], int *background) setup() reads in the next command line, separating it into distinct tokens using whitespace as delimiters. setup() sets the args parameter as a null-terminated string. Also set background =1 if & is met If “ctrl-d” is met, just simply call exit(0);
34
4.34 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Methodology How to execute the command? while (1){ /* Program terminates normally inside setup */ background = 0; printf(" COMMAND->\n"); setup(inputBuffer,args,&background); /* get next command */ /* the steps are: (1) fork a child process using fork() (2) the child process will invoke execvp() (3) if background == 1, the parent will wait, otherwise returns to the setup() function. */ }
35
4.35 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Methodology How to display recent commands? Use signal handler: CTRL-C is the SIGINT signal /* the signal handler function */ void handle_SIGINT() { write(STDOUT_FILENO,buffer,strlen(buffer)); exit(0); } int main(int argc, char *argv[]) { /* set up the signal handler */ struct sigaction handler; handler.sa_handler = handle_SIGINT; sigaction(SIGINT, &handler, NULL); strcpy(buffer,"Caught \n"); /* wait for */ while (1); return 0; }
36
4.36 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Methodology How to keep track of past commands? Limited-size buffer, why not use circular buffer? Modify setup() to store the current command which may overwrite the oldest command in the buffer Implement SININT signal handler to display the 10 most recent commands
37
4.37 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Suggested Steps Step 1: implement setup() Step 2: execute the command from setup() Step 3: add the history feature
38
4.38 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Submission Email to zhuy@seattleu.eduzhuy@seattleu.edu All source files A readme file that describes each file, how to compile the file(s), and how to run the file. If there is any problem running the file, please state it here as well. Makefile may be a good option Due: 10/10/2006, Tuesday 1:30PM
39
4.39 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts Questions
40
End of Chapter 4
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.