anticipatory fetch

简明释义

预取;

英英释义

例句

1.Using anticipatory fetch, the streaming service can start buffering the next episode while the current one is still playing.

通过使用anticipatory fetch，流媒体服务可以在当前剧集播放时开始缓存下一集。

2.The web application uses anticipatory fetch to preload data that the user is likely to request next.

这个网页应用使用anticipatory fetch来预加载用户可能会下一个请求的数据。

3.By implementing anticipatory fetch, the mobile app significantly reduced loading times during navigation.

通过实施anticipatory fetch，移动应用在导航过程中显著减少了加载时间。

4.The search engine's anticipatory fetch feature allows it to show results instantly as the user types.

搜索引擎的anticipatory fetch功能允许它在用户输入时立即显示结果。

5.The gaming engine employs anticipatory fetch to load assets before the player reaches a new level.

游戏引擎采用anticipatory fetch在玩家到达新关卡之前加载资源。

作文

In the realm of modern technology, particularly in the fields of data processing and computer science, the term anticipatory fetch refers to a method where systems predict the data that will be needed in the near future and retrieve it preemptively. This technique is particularly crucial in enhancing the efficiency of processes, as it minimizes wait times and optimizes resource utilization. For instance, when a user accesses a website, the browser might use anticipatory fetch to preload certain elements based on the user's previous interactions or common patterns observed among users with similar behaviors. This not only improves the loading speed of web pages but also provides a smoother user experience.The concept of anticipatory fetch can be likened to how we prepare for events in our daily lives. For example, if you know you are going to have guests over for dinner, you might start cooking some dishes in advance or setting the table before they arrive. This proactive approach ensures that everything is ready by the time your guests walk through the door. Similarly, in computing, anticipatory fetch allows systems to be one step ahead, ensuring that necessary data is readily available when required.Moreover, the implementation of anticipatory fetch can significantly enhance performance in various applications, including video streaming, online gaming, and cloud computing. In video streaming, for instance, platforms like Netflix or YouTube use this technique to buffer content ahead of time, allowing users to enjoy seamless playback without interruptions. As the system anticipates what the user is likely to watch next, it fetches additional data in advance, thereby reducing the chances of buffering or lagging during playback.However, while anticipatory fetch offers numerous advantages, it also poses certain challenges. One major concern is the efficient allocation of resources. If a system constantly fetches data that may not be used, it can lead to unnecessary consumption of bandwidth and storage. Therefore, developers must carefully design algorithms that accurately predict user behavior to minimize wastage. This balance between efficiency and resource management is critical for the successful implementation of anticipatory fetch in any system.In conclusion, the concept of anticipatory fetch represents a significant advancement in how data is managed and retrieved in technology today. By anticipating user needs and fetching data proactively, systems can provide faster, more responsive experiences. However, careful consideration must be given to the algorithms and methods used to ensure that resources are utilized effectively. As technology continues to evolve, the importance of anticipatory fetch will undoubtedly grow, shaping the future of data processing and user interaction in profound ways.

在现代科技领域，特别是在数据处理和计算机科学中，术语anticipatory fetch指的是一种方法，其中系统预测在不久的将来所需的数据并预先检索。这种技术在提高流程效率方面至关重要，因为它最小化了等待时间并优化了资源利用。例如，当用户访问一个网站时，浏览器可能会根据用户之前的互动或观察到的类似行为用户的共同模式，使用anticipatory fetch来预加载某些元素。这不仅提高了网页的加载速度，还提供了更流畅的用户体验。anticipatory fetch的概念可以类比于我们在日常生活中为事件做准备的方式。例如，如果你知道要有客人来家里吃晚饭，你可能会提前开始烹饪一些菜肴或者在他们到来之前摆好餐桌。这种主动的方法确保了一切在客人到达时都已准备就绪。类似地，在计算中，anticipatory fetch使系统能够领先一步，确保必要的数据在需要时随时可用。此外，实施anticipatory fetch可以显著提高各种应用程序的性能，包括视频流、在线游戏和云计算。在视频流中，例如，Netflix或YouTube等平台使用这种技术提前缓冲内容，使用户能够享受无缝播放而不会中断。当系统预测用户可能接下来观看的内容时，它会提前获取额外的数据，从而减少播放过程中缓冲或延迟的可能性。然而，虽然anticipatory fetch提供了许多优势，但也带来了某些挑战。一个主要的担忧是资源的有效分配。如果系统不断获取可能不会使用的数据，可能会导致带宽和存储的不必要消耗。因此，开发人员必须仔细设计算法，以准确预测用户行为，以最小化浪费。这种在效率与资源管理之间的平衡对于在任何系统中成功实施anticipatory fetch至关重要。总之，anticipatory fetch的概念代表了今天数据管理和检索方式的重要进步。通过预测用户需求并主动获取数据，系统可以提供更快、更具响应性的体验。然而，必须仔细考虑用于确保资源有效利用的算法和方法。随着技术的不断发展，anticipatory fetch的重要性无疑会增长，从而以深远的方式塑造数据处理和用户交互的未来。