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United States Patent 1191 11 45 Shorter et a1. 54 METHOD TO PROVIDE CONCURRENT EXECUTION OF DISTRIBUTED APPLICATION PROGRAMS BY A HOST COMPUTER AND AN INTELLIGENT WORK STATION ON AN SNA NETWORK 75
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Point by point guide to filling out a method to provide concurrency:

01
Start by identifying the specific task or process that you want to make concurrent. This could be any operation or functionality within your code that can benefit from parallel execution.
02
Determine the type of concurrency mechanism that best suits your needs. There are various approaches to achieving concurrency, such as using threads, processes, or asynchronous programming.
03
If you choose to use threads, consider creating a new thread within the method. This can be done by instantiating a Thread object and passing in the method or function that you want to execute concurrently.
04
Take into account any shared resources or data that might be accessed by multiple threads concurrently. Use synchronization techniques, such as locks or semaphores, to ensure proper coordination and avoid issues like race conditions or data corruption.
05
Design your method to be thread-safe, meaning it can be safely accessed and executed by multiple threads simultaneously without causing any unexpected behavior or errors.
06
Consider using concurrency-specific constructs or APIs provided by your programming language or framework. For example, Java offers features like ExecutorService or CompletableFuture that simplify concurrent programming and provide additional control and flexibility.

Who needs a method to provide concurrent?

01
Developers working on performance-sensitive applications that can benefit from executing tasks in parallel. Concurrent methods can help improve overall execution speed and efficiency.
02
Applications dealing with real-time or time-sensitive operations where responsiveness is crucial. Concurrency can enable better responsiveness by allowing multiple tasks to be executed concurrently without blocking the main thread or process.
03
Systems processing large amounts of data or handling multiple requests simultaneously. Concurrency can help distribute the workload across multiple threads or processes, leading to better resource utilization and scalability.
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Concurrent Method is a technique to manage multiple tasks efficiently.
Typically developers or engineers working on parallel processing systems.
Concurrent Method can be implemented using various programming languages and frameworks like Java, C++, Python, etc.
The purpose of Concurrent Method is to improve performance and resource utilization in computing systems.
Details of tasks, dependencies, synchronization mechanisms, and resource allocation.
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