computing scale

简明释义

计算尺

英英释义

例句

1.The cloud service provider offers flexible computing scale to accommodate varying workloads.

云服务提供商提供灵活的计算规模以适应不同的工作负载。

2.With the right computing scale, we can process large datasets more efficiently.

通过正确的计算规模，我们可以更高效地处理大数据集。

3.The software was designed to optimize computing scale for better performance.

该软件旨在优化计算规模以提高性能。

4.Businesses often struggle to find the right computing scale for their needs.

企业通常难以找到适合其需求的计算规模。

5.To handle the increased traffic, the company needed to adjust its computing scale accordingly.

为了应对增加的流量，公司需要相应地调整其计算规模。

作文

In the modern world, technology plays a crucial role in various sectors, including education, healthcare, and business. One of the key concepts that has emerged alongside these technological advancements is computing scale (计算规模). This term refers to the capacity and efficiency with which computing resources can be utilized to perform tasks. Understanding computing scale is essential for organizations aiming to optimize their operations and improve productivity.At its core, computing scale involves the ability to manage and process large volumes of data effectively. With the exponential growth of data generated by individuals and businesses, having a robust computing scale is more important than ever. It allows companies to analyze trends, make informed decisions, and ultimately drive their success in a competitive market.For instance, consider a retail company that collects vast amounts of customer data. By leveraging a strong computing scale, they can analyze purchasing behaviors and preferences, enabling them to tailor marketing strategies and enhance customer experience. This not only improves sales but also fosters customer loyalty, as clients feel valued and understood.Moreover, computing scale is integral to cloud computing, which has revolutionized the way businesses operate. Cloud services provide scalable resources that can be adjusted based on demand. This flexibility means that companies can expand their computing capabilities without the need for significant upfront investments in hardware. For example, during peak shopping seasons, an online retailer can increase their computing scale to handle higher traffic volumes and then scale back down afterward. This adaptability is a game-changer for businesses, allowing them to remain agile in a fast-paced environment.In the realm of scientific research, computing scale also plays a pivotal role. Researchers often require immense computational power to simulate complex models or analyze large datasets. High-performance computing clusters exemplify how computing scale can accelerate research outcomes. For example, in climate modeling, scientists can run simulations that predict weather patterns over decades, providing valuable insights into climate change.Despite its advantages, achieving an optimal computing scale comes with challenges. Organizations must ensure they have the right infrastructure, software, and skilled personnel to manage their computing resources effectively. Additionally, security concerns arise as more data is processed and stored in the cloud. Companies must implement robust security measures to protect sensitive information while maintaining their computing scale capabilities.In conclusion, understanding and mastering computing scale is vital for contemporary organizations. It enables them to harness data, improve operational efficiency, and foster innovation. As technology continues to evolve, the importance of computing scale will only grow, making it a critical area of focus for businesses and researchers alike. Embracing this concept will empower organizations to thrive in an increasingly digital world, ensuring they remain competitive and relevant in their respective fields.

在现代世界中，科技在教育、医疗和商业等各个领域发挥着至关重要的作用。随着这些技术进步而出现的一个关键概念是计算规模（computing scale）。这个术语指的是计算资源用于执行任务的能力和效率。理解计算规模对于寻求优化运营和提高生产力的组织至关重要。从根本上讲，计算规模涉及有效管理和处理大量数据的能力。随着个人和企业生成的数据呈指数级增长，拥有强大的计算规模变得比以往任何时候都更为重要。它使公司能够分析趋势，做出明智的决策，最终推动其在竞争市场中的成功。例如，考虑一家收集大量客户数据的零售公司。通过利用强大的计算规模，他们可以分析购买行为和偏好，使他们能够量身定制营销策略并提升客户体验。这不仅改善了销售，还培养了客户忠诚度，因为客户感到被重视和理解。此外，计算规模是云计算的核心，这一技术彻底改变了企业的运作方式。云服务提供可根据需求调整的可扩展资源。这种灵活性意味着公司可以扩大其计算能力，而无需在硬件上进行大量前期投资。例如，在购物高峰季节，在线零售商可以增加其计算规模以应对更高的流量，然后在之后缩减。这种适应性对企业来说是改变游戏规则的因素，使他们能够在快速变化的环境中保持敏捷。在科学研究领域，计算规模同样发挥着关键作用。研究人员通常需要巨大的计算能力来模拟复杂模型或分析大数据集。高性能计算集群就是如何加速研究成果的计算规模的典范。例如，在气候建模中，科学家可以运行预测几十年天气模式的模拟，为气候变化提供有价值的见解。尽管有其优势，实现最佳的计算规模也面临挑战。组织必须确保他们拥有正确的基础设施、软件和熟练的人才，以有效管理其计算资源。此外，随着越来越多的数据在云中处理和存储，安全问题也随之而来。公司必须实施强有力的安全措施，以保护敏感信息，同时保持其计算规模能力。总之，理解和掌握计算规模对于当代组织至关重要。它使他们能够利用数据，提高运营效率，并促进创新。随着技术的不断发展，计算规模的重要性只会增加，使其成为企业和研究者关注的关键领域。拥抱这一概念将使组织能够在日益数字化的世界中蓬勃发展，确保他们在各自领域保持竞争力和相关性。