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Chapter 4: Threads Chapter 4: Threads Overview Multithreading Models Threading Issues Java Threads Operating System Concepts – 7th edition, Jan 23, 2005 4.2 Silberschatz, Galvin and Gagne ©2005 Single and Multithreaded Processes A Thread is a lightweight process Operating System Concepts – 7th edition, Jan 23, 2005 4.3 Silberschatz, Galvin and Gagne ©2005 Examples Word program Web servers Operating System Concepts – 7th edition, Jan 23, 2005 4.4 Silberschatz, Galvin and Gagne ©2005 Benefits Responsiveness Resource Sharing Economy Creation Context switch Utilization of Multiprocessor Architectures Operating System Concepts – 7th edition, Jan 23, 2005 4.5 Silberschatz, Galvin and Gagne ©2005 User Threads Thread management done by user-level threads library Library provides support for thread creation scheduling and managing with no support from kernel User thread is fast to create and manage Drawback If the kernel is single thread then any blocking system call will cause the entire process to block Operating System Concepts – 7th edition, Jan 23, 2005 4.6 Silberschatz, Galvin and Gagne ©2005 Kernel Threads Supported by the Kernel Kernel threads is slower to create and manage than user threads If a thread performs a blocking system call, the kernel can schedule another thread The kernel can schedule threads on different processors. Examples Windows XP/2000 Solaris Linux Operating System Concepts – 7th edition, Jan 23, 2005 4.7 Silberschatz, Galvin and Gagne ©2005 Multithreading Models Many-to-One One-to-One Many-to-Many Operating System Concepts – 7th edition, Jan 23, 2005 4.8 Silberschatz, Galvin and Gagne ©2005 Many-to-One Many user-level threads mapped to single kernel thread Operating System Concepts – 7th edition, Jan 23, 2005 4.9 Silberschatz, Galvin and Gagne ©2005 One-to-One Each user-level thread maps to kernel thread Examples Windows NT/XP/2000 Linux Solaris 9 and later Operating System Concepts – 7th edition, Jan 23, 2005 4.10 Silberschatz, Galvin and Gagne ©2005 One-to-one Model • More concurrently • allow multiple threads to run in parallel on multiprocessor • high overhead which affect the performance of the system. Operating System Concepts – 7th edition, Jan 23, 2005 4.11 Silberschatz, Galvin and Gagne ©2005 Many-to-Many Model Allows many user level threads to be mapped to many kernel threads Allows the operating system to create a sufficient number of kernel threads Depending on the application or machine. Operating System Concepts – 7th edition, Jan 23, 2005 4.12 Silberschatz, Galvin and Gagne ©2005 Many-to-Many Model Operating System Concepts – 7th edition, Jan 23, 2005 4.13 Silberschatz, Galvin and Gagne ©2005 Java Threads Java threads are managed by the JVM Java threads may be created by: Extending Thread class Implementing the Runnable interface Operating System Concepts – 7th edition, Jan 23, 2005 4.14 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts – 7th edition, Jan 23, 2005 4.15 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts – 7th edition, Jan 23, 2005 4.16 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts – 7th edition, Jan 23, 2005 4.17 Silberschatz, Galvin and Gagne ©2005 Operating System Concepts – 7th edition, Jan 23, 2005 4.18 Silberschatz, Galvin and Gagne ©2005 Threading Issues Semantics of fork() system call Thread cancellation Signal handling Thread pools Thread specific data Operating System Concepts – 7th edition, Jan 23, 2005 4.19 Silberschatz, Galvin and Gagne ©2005 Semantics of fork() and exec() Does fork() duplicate only the calling thread or all threads? Operating System Concepts – 7th edition, Jan 23, 2005 4.20 Silberschatz, Galvin and Gagne ©2005 Thread Cancellation Terminating a thread before it has finished Two general approaches: Asynchronous cancellation terminates the target thread immediately Deferred cancellation allows the target thread to periodically check if it should be cancelled Operating System Concepts – 7th edition, Jan 23, 2005 4.21 Silberschatz, Galvin and Gagne ©2005 Signal Handling Signals are used in UNIX systems to notify a process that a particular event has occurred A signal handler is used to process signals 1. Signal is generated by particular event 2. Signal is delivered to a process 3. Signal is handled Options: Deliver the signal to the thread to which the signal applies Deliver the signal to every thread in the process Deliver the signal to certain threads in the process Assign a specific thread to receive all signals for the process Operating System Concepts – 7th edition, Jan 23, 2005 4.22 Silberschatz, Galvin and Gagne ©2005 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 Operating System Concepts – 7th edition, Jan 23, 2005 4.23 Silberschatz, Galvin and Gagne ©2005 Thread Specific Data 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) Operating System Concepts – 7th edition, Jan 23, 2005 4.24 Silberschatz, Galvin and Gagne ©2005 End of Chapter 4