distributed computation

简明释义

分布计算

英英释义

例句

1.In scientific research, distributed computation 分布式计算 helps analyze large datasets more efficiently by leveraging the power of many computers.

在科学研究中，distributed computation 分布式计算通过利用多台计算机的计算能力，更高效地分析大型数据集。

2.The cloud service provider offers a platform for distributed computation 分布式计算, allowing users to run complex algorithms across multiple servers.

该云服务提供商提供一个平台用于distributed computation 分布式计算，允许用户在多个服务器上运行复杂算法。

3.Many modern applications rely on distributed computation 分布式计算 to handle tasks that require significant processing power.

许多现代应用依赖于distributed computation 分布式计算来处理需要大量计算能力的任务。

4.With distributed computation 分布式计算, we can reduce the time required to process large volumes of data.

通过distributed computation 分布式计算，我们可以减少处理大量数据所需的时间。

5.The team implemented distributed computation 分布式计算 to improve the performance of their machine learning models.

团队实施了distributed computation 分布式计算以提高他们的机器学习模型的性能。

作文

In the modern era of technology, the concept of distributed computation has gained significant attention and importance. 分布式计算 refers to a computational model where processing tasks are distributed across multiple computing nodes, which can work simultaneously to solve complex problems more efficiently than a single machine could. This approach not only enhances performance but also improves reliability and fault tolerance, making it an ideal choice for various applications, from scientific research to cloud computing.One of the key advantages of distributed computation is its ability to handle large-scale data processing. In today’s world, data is generated at an unprecedented rate, and traditional computing methods often struggle to keep up with this influx. By distributing the workload across several machines, organizations can process vast amounts of data in parallel, significantly reducing the time required to derive insights. For instance, companies like Google and Amazon utilize distributed computation to analyze user behavior and optimize their services, ensuring that they remain competitive in the market.Moreover, distributed computation promotes resource sharing among multiple users or systems. Instead of relying on a single powerful server, resources such as processing power, memory, and storage can be pooled from various machines, leading to a more economical use of hardware. This is particularly beneficial for startups and small businesses that may not have the budget to invest in high-end servers. By leveraging distributed computation, these organizations can scale their operations without incurring substantial costs.Another significant aspect of distributed computation is its resilience against failures. In a traditional centralized computing environment, if the main server goes down, all operations come to a halt. However, in a distributed computation system, even if one node fails, the remaining nodes can continue to function, ensuring that the overall system remains operational. This characteristic is crucial for applications that require high availability, such as online banking and e-commerce platforms, where downtime can lead to significant financial losses and damage to reputation.Furthermore, distributed computation fosters collaboration among researchers and developers. With the rise of open-source projects and collaborative platforms, individuals from different geographical locations can contribute to a common goal by utilizing their local resources. This collective effort accelerates innovation and leads to the development of groundbreaking solutions that might not have been possible through isolated efforts. For example, projects like SETI@home allow volunteers to contribute their computer's idle processing power to analyze radio signals from space, showcasing how distributed computation can unite people for a greater cause.However, implementing distributed computation is not without its challenges. Ensuring efficient communication between nodes, managing data consistency, and handling security issues are some of the hurdles that must be addressed. Additionally, developing algorithms that can effectively distribute tasks and balance the load among nodes is crucial for maximizing performance. Despite these challenges, the benefits of distributed computation far outweigh the drawbacks, making it a vital component of contemporary computing.In conclusion, distributed computation has transformed the landscape of computing by enabling faster processing, resource sharing, and enhanced reliability. As technology continues to evolve, the significance of distributed computation will only increase, paving the way for innovative solutions that can tackle the complex problems of our time. Embracing this paradigm not only prepares organizations for the future but also contributes to the overall advancement of technology as a whole.

在现代科技时代，分布式计算的概念受到了广泛关注和重视。分布式计算是指一种计算模型，其中处理任务分配到多个计算节点，这些节点可以同时工作，以比单一机器更高效地解决复杂问题。这种方法不仅提高了性能，还改善了可靠性和容错能力，使其成为从科学研究到云计算等各种应用的理想选择。分布式计算的一个主要优势是它能够处理大规模数据处理。在当今世界，数据以空前的速度生成，传统计算方法往往难以跟上这种涌入。通过将工作负载分配到几台机器上，组织可以并行处理大量数据，大大减少获取见解所需的时间。例如，谷歌和亚马逊等公司利用分布式计算分析用户行为并优化其服务，确保他们在市场中的竞争力。此外，分布式计算促进了多个用户或系统之间的资源共享。与依赖单一强大服务器不同，处理能力、内存和存储等资源可以从多台机器中集中，导致硬件的更经济使用。这对于预算有限的小型企业和初创公司尤其有利。通过利用分布式计算，这些组织可以在不产生重大成本的情况下扩展其运营。分布式计算的另一个重要方面是其对故障的弹性。在传统的集中计算环境中，如果主服务器出现故障，则所有操作都会停止。然而，在分布式计算系统中，即使一个节点失败，剩余节点仍然可以继续运行，确保整个系统保持运行。这一特性对于需要高可用性的应用程序至关重要，例如在线银行和电子商务平台，因为停机可能导致巨大的财务损失和声誉损害。此外，分布式计算促进了研究人员和开发者之间的合作。随着开源项目和协作平台的兴起，来自不同地理位置的个人可以通过利用他们本地的资源为共同目标做出贡献。这种集体努力加速了创新，并导致了突破性解决方案的发展，这些解决方案可能无法通过孤立的努力实现。例如，SETI@home项目允许志愿者贡献他们计算机的闲置处理能力，以分析来自太空的无线电信号，展示了分布式计算如何将人们团结在一起以实现更伟大的目标。然而，实施分布式计算并非没有挑战。确保节点之间的有效通信、管理数据一致性以及处理安全问题是必须解决的一些难题。此外，开发能够有效分配任务并平衡节点之间负载的算法对于最大化性能至关重要。尽管面临这些挑战，但分布式计算的好处远远超过缺点，使其成为当代计算的重要组成部分。总之，分布式计算通过实现更快的处理、资源共享和增强的可靠性，改变了计算的格局。随着技术的不断发展，分布式计算的重要性只会增加，为应对我们时代的复杂问题铺平道路。接受这一范式不仅为组织未来做好准备，也为整体技术的进步做出贡献。