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Lecture 3 and 4 threads


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  • 1. Rushdi Shams, Dept of CSE, KUET 1
  • 2. The Cake Baking Analogy  The computer scientist baking the cake has the ingredients (data) and recipe (algorithm).  Now, he needs to blend the egg  Then that blended egg will be mixed up with the dough made by flour  The dough mixed with blended egg will then be placed to syrup. Rushdi Shams, Dept of CSE, KUET 2
  • 3. The Cake Baking Analogy  Are they dependent or independent of each other? - Dependent  Are they verbs? I mean are they executing something? - Of course, making something is always a verb  Are they sharing some common place? - mmm, that can be tricky! I can say they are sharing common place if the mixing up of blended egg with the dough takes place in the same bowl!  Rushdi Shams, Dept of CSE, KUET 3
  • 4. The Cake Baking Analogy  So, blending egg is a process, mixing it up with dough is a process and mixing the dough with yummy syrup is a process.  But they are dependent on each other.  We will thus call them Threads  And threads share some common resources that processes don’t! Rushdi Shams, Dept of CSE, KUET 4
  • 5. Threads  Because threads have some of the properties of processes, they are sometimes called lightweight processes  A thread comprises of 1. Thread ID 2. Program Counter (PC) 3. Register Set 4. Stack Rushdi Shams, Dept of CSE, KUET 5
  • 6. Threads  Threads share its code section and data section and other operating systems resources with other threads belonging to the same process Rushdi Shams, Dept of CSE, KUET 6
  • 7. Thread Property Rushdi Shams, Dept of CSE, KUET 7
  • 8. Rushdi Shams, Dept of CSE, KUET 8
  • 9. Threads vs Processes Similarities Rushdi Shams, Dept of CSE, KUET 9
  • 10. Threads vs Processes Dissimilarities Rushdi Shams, Dept of CSE, KUET 10
  • 11. Why Threads?  A web browser has a thread to display contents and another thread that serves you as you click Download button  MS Word has a thread that displays the content area, another thread that reads keystrokes from the keyboard and the third checks the grammar and spelling in background Rushdi Shams, Dept of CSE, KUET 11
  • 12. Why Threads?  And of course process does the same thing thread does!   A client poses 5 different requests (but similar) to the web browser.  The browser can create 5 different processes to serve him  But, what’s the wrong with this architecture? Rushdi Shams, Dept of CSE, KUET 12
  • 13. Benefits of Threads  Responsiveness A multithreaded web browser allows user to interact on several buttons with less overhead  Resource Sharing Have you ever heard any time anyone saying I have plenty of resources, use as much as you like??  Rushdi Shams, Dept of CSE, KUET 13
  • 14. Benefits of Threads  Economy Allocating memory and resources for process creation is costly. It is more economical to create and switch between threads than processes. -Creating process is 30% slower than creating threads -Switching between processes is 5% slower than switching between threads Rushdi Shams, Dept of CSE, KUET 14
  • 15. User Thread  User threads are supported above the kernel and implemented by a thread library at user level  This library provides support for thread creation, scheduling, and management  Does not need support from the kernel  Kernel is unaware of user level threads  If kernel is single threaded, any user level thread performing system block call will cause the entire process blocked Rushdi Shams, Dept of CSE, KUET 15
  • 16. Kernel Thread  Supported directly by the operating system  Slower to create and manage than user threads Rushdi Shams, Dept of CSE, KUET 16
  • 17. Multithread Model  Many systems support for both user and kernel threads. 1. Many to one Model  Many user level threads to one kernel thread  Thread management is done in user space. So, efficient but the entire process will block if any of the user threads call a system block.  Multiple threads are unable to run in parallel Rushdi Shams, Dept of CSE, KUET 17
  • 18. Rushdi Shams, Dept of CSE, KUET 18
  • 19. Multithread Model 2. One to one Model  More concurrency than many to many model by allowing another thread to run when a thread makes a system call.  Creating user thread requires creating corresponding kernel thread. And creating kernel thread is expensive! Rushdi Shams, Dept of CSE, KUET 19
  • 20. Rushdi Shams, Dept of CSE, KUET 20
  • 21. Multithread Model 3. Many to Many Model  Multiplexes many user level threads to a smaller or equal number of kernel threads Rushdi Shams, Dept of CSE, KUET 21
  • 22. Rushdi Shams, Dept of CSE, KUET 22
  • 23. Thread Cancellation  Thread cancellation is a task of terminating threads before their completion  OS creates 5 threads for a database operation. 1 executes the query, 1 fetches the record and 1 displays. The 2 more threads are cancelled by the OS Rushdi Shams, Dept of CSE, KUET 23
  • 24. Thread Cancellation  You are browsing through IE. Suppose, 3 threads are running. Suddenly you press STOP button. All of them are cancelled. Rushdi Shams, Dept of CSE, KUET 24
  • 25. Asynchronous Cancellation  The thread that is to be cancelled is called Target Thread  In asynchronous cancellation, one thread immediately cancel the target thread Rushdi Shams, Dept of CSE, KUET 25
  • 26. Deferred Cancellation  The target thread checks periodically check if it should terminate, allowing the target thread an opportunity to terminate itself in an orderly fashion Rushdi Shams, Dept of CSE, KUET 26
  • 27. Problem in Cancellation  Well, cancellation of thread means simply withdrawing OS resources from the thread. Sometimes, resources are GIVEN to a thread and sometimes resources are ALLOCATED to a thread. When GIVEN, it is really a problem to retrieve that.  If a thread is in a mid of update, and cancelled, lost of data may occur. Rushdi Shams, Dept of CSE, KUET 27
  • 28. Problem in Cancellation  The problem is severe in case of asynchronous cancellation. OS often cannot retrieve all of its resources from the cancelled thread.  Most OS, however, do the asynchronous thread cancellation!  Rushdi Shams, Dept of CSE, KUET 28
  • 29. Signal Handling  A signal is used to notify a process that a particular event has occurred. All signals follow the pattern- 1. A signal is generated by the occurrence of a particular event 2. A generated signal is delivered to a process 3. Once delivered, the signal MUST be handled. Rushdi Shams, Dept of CSE, KUET 29
  • 30. Types of Signals  Synchronous Signal A signal is generated and delivered to a particular process if the occurrence is caused by that process only  Asynchronous Signal A signal is generated and delivered to all of the process created by the process responsible for the event. Rushdi Shams, Dept of CSE, KUET 30
  • 31. Signal Handler  Every signal has a default signal handler run by kernel.  User defined signal handler can overtrump it if required.  Some signals can be ignored (maximizing the window), others can be handled by terminating the program (illegal memory access) Rushdi Shams, Dept of CSE, KUET 31
  • 32. Signal Delivery  Delivery of a signal is simple in single threaded programs (hand to hand delivery)  In multithreaded environment, any one of the following can be accomplished- 1. Deliver the signal to the thread to which the signal applies 2. Deliver the signal to every thread of the process 3. Deliver the signal to certain threads of the process 4. Assign a specific thread to receive all signals for processes. Rushdi Shams, Dept of CSE, KUET 32
  • 33. Thread Pool  We said earlier that in web browser we can serve the client faster by creating 5 threads for 1 process (browsing) than by creating 5 processes (saving, downloading, clicking, maximizing, minimizing)  Okay, but still there is a problem- if you create too many threads, that would again embarrass our POOR OS!!   Too many threads can be just a little bit reduction in servicing time than creating independent processes Rushdi Shams, Dept of CSE, KUET 33
  • 34. Thread Pool  That’s why OS creates a pool of threads at start up  While starting up, the OS puts, say, 50 threads in its pool (10 system threads, 10 browsing threads, 10 nitty bitty, 20 bla bla)  Then it will invite those threads from the pool when required. Rushdi Shams, Dept of CSE, KUET 34