rate of information throughput

简明释义

信息吞吐量

英英释义

例句

1.To improve user experience, the application must maintain a consistent rate of information throughput 信息传输速率 across all devices.

为了改善用户体验，应用程序必须在所有设备上保持一致的信息传输速率 rate of information throughput。

2.A higher rate of information throughput 信息传输速率 can significantly reduce latency in data communication.

更高的信息传输速率 rate of information throughput可以显著降低数据通信中的延迟。

3.The rate of information throughput 信息传输速率 is affected by various factors including bandwidth and network congestion.

多个因素，包括带宽和网络拥塞，会影响信息传输速率 rate of information throughput。

4.During the testing phase, we measured the rate of information throughput 信息传输速率 to identify bottlenecks in the system.

在测试阶段，我们测量了信息传输速率 rate of information throughput以识别系统中的瓶颈。

5.The network administrator needs to monitor the rate of information throughput 信息传输速率 to ensure optimal performance during peak hours.

网络管理员需要监控信息传输速率 rate of information throughput，以确保在高峰时段的最佳性能。

作文

In today's digital age, the concept of the rate of information throughput is becoming increasingly important. This term refers to the speed at which data is processed and transmitted through various systems, whether they be computer networks, communication channels, or even human interactions. Understanding the rate of information throughput is crucial for optimizing performance in a world that demands instant access to information. To illustrate this point, consider a typical internet connection. The rate of information throughput determines how quickly files can be downloaded, videos can be streamed, and emails can be sent. For instance, a high-speed internet connection with a high rate of information throughput allows users to download large files in a matter of seconds, while a slower connection may take much longer, leading to frustration and inefficiency. In this context, the rate of information throughput can significantly affect user experience and productivity.Moreover, the rate of information throughput is not only relevant in the realm of technology but also in business operations. Companies rely on efficient data processing to make informed decisions quickly. For example, a financial institution must analyze vast amounts of data to assess risks and opportunities. A higher rate of information throughput enables them to process this data swiftly, allowing for timely interventions and strategic planning. Conversely, a low rate of information throughput could result in missed opportunities and potential losses.In addition, the rate of information throughput plays a vital role in the realm of telecommunications. As more people rely on mobile devices for communication, the demand for faster data transmission increases. Telecommunications companies are continually working to improve their networks to enhance the rate of information throughput. This not only improves call quality but also ensures that users can send and receive messages and media without delays.Furthermore, the rate of information throughput has implications for the development of new technologies. Innovations such as cloud computing and the Internet of Things (IoT) depend heavily on high throughput rates to function effectively. For instance, smart home devices rely on the rate of information throughput to communicate with one another and with users. If the throughput rate is insufficient, these devices may not respond promptly, leading to a subpar user experience.In conclusion, the rate of information throughput is a critical factor in our increasingly interconnected world. Whether in technology, business, telecommunications, or emerging technologies, understanding and optimizing this rate can lead to enhanced efficiency, improved user experiences, and better decision-making. As we continue to rely on data and information, the importance of the rate of information throughput will only grow, making it essential for individuals and organizations alike to prioritize its improvement and management.

在当今数字时代，‘信息吞吐率’的概念变得越来越重要。这个术语指的是数据通过各种系统（无论是计算机网络、通信渠道，还是人际交往）处理和传输的速度。理解‘信息吞吐率’对于优化在一个需要即时访问信息的世界中的表现至关重要。为了说明这一点，考虑一下典型的互联网连接。‘信息吞吐率’决定了文件下载、视频流播放和电子邮件发送的速度。例如，高速互联网连接具有高‘信息吞吐率’，可以让用户在几秒钟内下载大文件，而较慢的连接可能需要更长时间，这会导致沮丧和低效率。在这种情况下，‘信息吞吐率’会显著影响用户体验和生产力。此外，‘信息吞吐率’不仅在技术领域相关，在商业运营中也同样重要。公司依赖高效的数据处理来快速做出明智的决策。例如，金融机构必须分析大量数据以评估风险和机会。更高的‘信息吞吐率’使他们能够迅速处理这些数据，从而实现及时干预和战略规划。相反，较低的‘信息吞吐率’可能导致错失机会和潜在损失。此外，‘信息吞吐率’在电信领域也发挥着至关重要的作用。随着越来越多的人依赖移动设备进行通信，对更快数据传输的需求不断增加。电信公司不断努力改善其网络，以提高‘信息吞吐率’。这不仅提高了通话质量，还确保用户可以及时发送和接收消息及媒体。此外，‘信息吞吐率’对新技术的发展有重要影响。云计算和物联网（IoT）等创新在很大程度上依赖于高吞吐率才能有效运作。例如，智能家居设备依赖于‘信息吞吐率’与彼此及用户进行通信。如果吞吐率不足，这些设备可能无法及时响应，从而导致用户体验不佳。总之，‘信息吞吐率’在我们日益互联的世界中是一个关键因素。无论是在技术、商业、电信还是新兴技术领域，理解和优化这一比率可以带来更高的效率、改善的用户体验和更好的决策。随着我们继续依赖数据和信息，‘信息吞吐率’的重要性只会增加，因此个人和组织都必须优先考虑其改善和管理。