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• Thread_pool_pattern abstract "In computer programming, the thread pool pattern (also replicated workers or worker-crew model) is where a number of threads are created to perform a number of tasks, which are usually organized in a queue. The results from the tasks being executed might also be placed in a queue, or the tasks might return no result (for example, if the task is for animation). Typically, there are many more tasks than threads. As soon as a thread completes its task, it will request the next task from the queue until all tasks have been completed. The thread can then terminate, or sleep until there are new tasks available.The number of threads used is a parameter that can be tuned to provide the best performance.Additionally, the number of threads can be dynamic based on the number of waiting tasks.For example, a web server can add threads if numerous web page requests come in and can remove threads when those requests taper down.The cost of having a larger thread pool is increased resource usage.The algorithm used to determine when to create or destroy threads will have an impact on the overall performance: create too many threads, and resources are wasted and time also wasted creating any unused threads destroy too many threads and more time will be spent later creating them again creating threads too slowly might result in poor client performance (long wait times) destroying threads too slowly may starve other processes of resourcesThe algorithm chosen will depend on the problem and the expected usage patterns.If the number of tasks is very large, then creating a thread for each one may be impractical.Another advantage of using a thread pool over creating a new thread for each task is thread creation and destruction overhead is negated, which may result in better performance and better system stability. Creating and destroying a thread and its associated resources is an expensive process in terms of time. An excessive number of threads will also waste memory, and context-switching between the runnable threads also damages performance. For example, a socket connection to another machine—which might take thousands (or even millions) of cycles to drop and re-establish—can be avoided by associating it with a thread which lives over the course of more than one transaction.When implementing this pattern, the programmer should ensure thread-safety of the queue. In Java, you can synchronize the relevant method using the synchronized keyword. This will bind the block modified with synchronized into one atomic structure, therefore forcing any threads using the associated resource to wait until there are no threads using the resource. As a drawback to this method, synchronization is rather expensive. You can also create an object that holds a list of all the jobs in a queue, which could be a singleton.Typically, a thread pool executes on a single computer. However, thread pools are conceptually related to server farms in which a master process, which might be a thread pool itself, distributes tasks to worker processes on different computers, in order to increase the overall throughput. Embarrassingly parallel problems are highly amenable to this approach.".
• Thread_pool_pattern thumbnail Thread_pool.svg?width=300.
• Thread_pool_pattern wikiPageExternalLink Joshthreadpool.asp.
• Thread_pool_pattern wikiPageExternalLink work_queue.asp.
• Thread_pool_pattern wikiPageExternalLink citation.cfm?id=346320.
• Thread_pool_pattern wikiPageExternalLink 1753196.1753218.
• Thread_pool_pattern wikiPageExternalLink ms973903.aspx.
• Thread_pool_pattern wikiPageExternalLink query-by-slice-parallel-execute-join-thread-pool-pattern.html.
• Thread_pool_pattern wikiPageExternalLink creating-a-notifying-blocking-thread-pool-executor.html.
• Thread_pool_pattern wikiPageExternalLink smartthreadpool.aspx.
• Thread_pool_pattern wikiPageExternalLink thread_pooling.asp.
• Thread_pool_pattern wikiPageExternalLink OM-01.pdf.
• Thread_pool_pattern wikiPageExternalLink au-threadingpython.
• Thread_pool_pattern wikiPageExternalLink j-jtp0730.html.
• Thread_pool_pattern wikiPageExternalLink threadpool.shtml.
• Thread_pool_pattern wikiPageExternalLink threadpool11.
• Thread_pool_pattern wikiPageID "764016".
• Thread_pool_pattern wikiPageRevisionID "600611515".
• Thread_pool_pattern hasPhotoCollection Thread_pool_pattern.
• Thread_pool_pattern subject Category:Software_design_patterns.
• Thread_pool_pattern subject Category:Threads_(computing).
• Thread_pool_pattern type Abstraction100002137.
• Thread_pool_pattern type Cognition100023271.
• Thread_pool_pattern type Form105930736.
• Thread_pool_pattern type PsychologicalFeature100023100.
• Thread_pool_pattern type SoftwareDesignPatterns.
• Thread_pool_pattern type Structure105726345.
• Thread_pool_pattern comment "In computer programming, the thread pool pattern (also replicated workers or worker-crew model) is where a number of threads are created to perform a number of tasks, which are usually organized in a queue. The results from the tasks being executed might also be placed in a queue, or the tasks might return no result (for example, if the task is for animation). Typically, there are many more tasks than threads.".
• Thread_pool_pattern label "Thread pool pattern".
• Thread_pool_pattern label "Thread pool".
• Thread_pool_pattern label "线程池".
• Thread_pool_pattern sameAs Thread_pool.
• Thread_pool_pattern sameAs m.039gjt.
• Thread_pool_pattern sameAs Q3990847.
• Thread_pool_pattern sameAs Q3990847.
• Thread_pool_pattern sameAs Thread_pool_pattern.
• Thread_pool_pattern wasDerivedFrom Thread_pool_pattern?oldid=600611515.
• Thread_pool_pattern depiction Thread_pool.svg.
• Thread_pool_pattern isPrimaryTopicOf Thread_pool_pattern.