indirect synchronization

简明释义

间接同步

英英释义

例句

1.The network protocol supports indirect synchronization to allow devices to communicate changes without direct connections.

该网络协议支持间接同步，允许设备在没有直接连接的情况下通信更改。

2.The application relies on indirect synchronization to coordinate tasks between different modules effectively.

该应用程序依赖于间接同步来有效协调不同模块之间的任务。

3.In a distributed database, indirect synchronization can help manage conflicts when multiple users are accessing the same data.

在分布式数据库中，间接同步可以帮助管理当多个用户访问相同数据时的冲突。

4.The system uses indirect synchronization to ensure that data is updated across multiple servers without direct communication.

该系统使用间接同步来确保数据在多个服务器之间更新，而无需直接通信。

5.Using indirect synchronization, the team was able to keep track of changes made by various developers without constant updates.

通过使用间接同步，团队能够跟踪不同开发人员所做的更改，而无需不断更新。

作文

In the realm of computer science and distributed systems, the concept of indirect synchronization plays a critical role in ensuring that multiple processes or threads operate in harmony. Unlike direct synchronization, where processes communicate explicitly to coordinate their actions, indirect synchronization allows for a more flexible approach. This is particularly useful in scenarios where direct communication is impractical or impossible due to the architecture of the system or the nature of the tasks involved.To illustrate the importance of indirect synchronization, consider a scenario involving multiple sensors in an industrial environment. Each sensor collects data independently and sends it to a central server for processing. Instead of waiting for each sensor to finish its data collection before proceeding, the server can utilize a shared data structure that holds the incoming data. This way, the server can process the data as it arrives, effectively synchronizing the operations of the sensors and the server without requiring them to directly communicate with one another.The advantages of indirect synchronization are manifold. First and foremost, it enhances the scalability of systems. As more sensors or processes are added, the central server does not need to manage complex communication protocols for each new addition. Instead, it simply continues to pull data from the shared resource, allowing for seamless integration of new components.Moreover, indirect synchronization can improve the reliability of a system. In a direct synchronization model, if one process fails to communicate for any reason, it can cause a bottleneck or even a complete halt in operations. However, with indirect synchronization, the failure of one component does not necessarily impede the overall functionality, as other components can continue to operate independently.Additionally, indirect synchronization can lead to performance improvements. By decoupling the processes, systems can achieve better resource utilization. For instance, while one process is busy collecting data, another can be engaged in processing the data already collected. This parallelism is often essential in high-performance computing environments where time efficiency is paramount.However, indirect synchronization is not without its challenges. One significant issue is the potential for data inconsistency. Since multiple processes may be accessing and modifying shared resources simultaneously, there is a risk of conflicts arising from concurrent access. To mitigate this, developers often implement concurrency control mechanisms such as locks or semaphores, which help ensure that data integrity is maintained even in an environment of indirect synchronization.In conclusion, indirect synchronization is a vital concept in modern computing, particularly within distributed systems. It offers a flexible, scalable, and reliable means of coordinating the actions of multiple processes without the need for direct communication. While challenges such as data inconsistency must be addressed, the benefits of indirect synchronization far outweigh the drawbacks, making it an essential strategy for developers and engineers alike. As technology continues to evolve, understanding and applying indirect synchronization will be crucial for creating efficient and robust systems.

在计算机科学和分布式系统领域，间接同步的概念在确保多个进程或线程和谐运行方面发挥着关键作用。与直接同步不同，直接同步要求进程明确地进行通信以协调其行为，而间接同步则允许采用更灵活的方法。这在直接通信由于系统架构或任务性质而不切实际或不可能的场景中尤为有用。为了说明间接同步的重要性，考虑一个涉及工业环境中多个传感器的场景。每个传感器独立收集数据并将其发送到中央服务器进行处理。服务器可以利用一个共享数据结构来存储传入的数据，而不是等待每个传感器完成数据收集后再进行处理。这样，服务器可以在数据到达时进行处理，从而有效地同步传感器和服务器的操作，而无需它们直接相互通信。间接同步的优势是多方面的。首先，它增强了系统的可扩展性。随着更多传感器或进程的添加，中央服务器不需要为每个新组件管理复杂的通信协议。相反，它只需继续从共享资源中提取数据，从而实现无缝集成新组件。此外，间接同步还可以提高系统的可靠性。在直接同步模型中，如果一个进程由于任何原因未能进行通信，可能会导致瓶颈甚至完全停止操作。然而，在间接同步的情况下，一个组件的故障并不一定会妨碍整体功能，因为其他组件可以继续独立运行。另外，间接同步还可以带来性能提升。通过解耦进程，系统可以实现更好的资源利用率。例如，当一个进程忙于收集数据时，另一个进程可以参与处理已经收集的数据。这种并行性在高性能计算环境中往往至关重要，因为时间效率至关重要。然而，间接同步并非没有挑战。一个显著的问题是数据不一致的潜在风险。由于多个进程可能同时访问和修改共享资源，因此存在因并发访问而引发冲突的风险。为了减轻这一问题，开发人员通常会实施并发控制机制，例如锁或信号量，以帮助确保即使在间接同步环境中也能维护数据完整性。总之，间接同步是现代计算中的一个重要概念，特别是在分布式系统中。它提供了一种灵活、可扩展且可靠的方式来协调多个进程的操作，而无需直接通信。尽管数据不一致等挑战必须得到解决，但间接同步的好处远远超过其缺点，使其成为开发人员和工程师必不可少的策略。随着技术的不断发展，理解和应用间接同步将对创建高效和稳健的系统至关重要。