mainframes

简明释义

英[/ˈmeɪnfreɪmz/]美[/ˈmeɪnˌfreɪmz/]

n. 大型主机（mainframe 的复数形式）

英英释义

单词用法

同义词

反义词

例句

1.In those days, computers were expensive mainframes.

在那时候，计算机都是些昂贵的大家伙。

2.Typical examples include mainframes API (through adapters), XML documents and even Excel documents.

典型例子包括主机API(通过适配器)、XML文档、甚至Excel文档。

3.And it's not just for mainframes.

但它不仅仅适用于主机。

4.High "switching costs" explain in large part why mainframes are still a good business for IBM.

高“转换成本”在很大程度上可以解释大型机至今还是IBM的一个运营良好的业务。

5.Integrates easily into backend systems like mainframes and client servers.

方便地集成到后端系统中，如大型机和客户机服务器。

6.As I noted earlier, mainframes aren't designed for or accustomed to high volumes of real-time user requests.

正如我前面提到的，大型机并未设计为(或并不习惯)处理大量实时用户请求。

7.This made its mini-computers incompatible with its mainframes.

这使得它的微型电脑与其主机不兼容。

8.These games date back to the time of serial consoles, mainframes, and minicomputers.

这些游戏的历史可以追溯到串行控制台、大型机和小型机时代。

9.Many large organizations still rely on mainframes 大型主机 for their critical operations.

许多大型组织仍然依赖于大型主机来进行其关键操作。

10.The banking industry heavily utilizes mainframes 大型主机 to process thousands of transactions every second.

银行业大量使用大型主机每秒处理成千上万的交易。

11.Modern mainframes 大型主机 are equipped with advanced security features to protect sensitive data.

现代的大型主机配备了先进的安全功能以保护敏感数据。

12.Companies are increasingly integrating cloud services with their existing mainframes 大型主机.

公司越来越多地将云服务与现有的大型主机集成。

13.The performance of mainframes 大型主机 is unmatched when it comes to handling large volumes of data.

在处理大量数据方面，大型主机的性能无与伦比。

作文

In the world of computing, the term mainframes refers to powerful and large-scale computers that are primarily used by organizations for critical applications, bulk data processing, and large-scale transaction processing. These machines have been a backbone of enterprise computing since the mid-20th century. Unlike personal computers, mainframes are designed to handle vast amounts of data and support hundreds or thousands of users simultaneously. The history of mainframes dates back to the 1950s when they were first developed to meet the needs of businesses and government agencies. Early models, such as the IBM 701, paved the way for more advanced systems. Over the decades, mainframes have evolved significantly, incorporating advancements in technology to improve speed, efficiency, and reliability. Today’s mainframes are equipped with multi-core processors, extensive memory, and high-speed input/output capabilities, making them suitable for various applications ranging from transaction processing to complex simulations. One of the key advantages of mainframes is their ability to process large volumes of transactions quickly and accurately. For instance, financial institutions rely heavily on mainframes to handle millions of transactions daily. These systems can process data in real-time, ensuring that information is up-to-date and accurate. Additionally, mainframes provide robust security features to protect sensitive data, making them an ideal choice for industries that require high levels of security, such as banking and healthcare. Moreover, mainframes are known for their reliability and uptime. Many organizations cannot afford downtime, especially those in critical sectors like telecommunications and emergency services. The architecture of mainframes is designed to minimize failures and ensure continuous operation. This reliability is a significant reason why many companies continue to invest in mainframes, despite the rise of cloud computing and distributed systems. However, with the advent of cloud computing, some might question the relevance of mainframes in modern IT infrastructure. While cloud solutions offer flexibility and scalability, mainframes still hold a unique position due to their performance and ability to handle large workloads. Many organizations use a hybrid approach, leveraging both mainframes and cloud services to optimize their operations. Furthermore, the skills required to manage and operate mainframes are becoming increasingly rare. As the workforce ages, there is a growing concern about the shortage of professionals who are trained in mainframes technology. Organizations must invest in training programs to ensure that the next generation of IT professionals is equipped with the necessary skills to maintain these critical systems. In conclusion, mainframes remain a vital part of the computing landscape. They offer unmatched processing power, reliability, and security, making them indispensable for many organizations. As technology continues to evolve, mainframes will likely adapt and integrate with new innovations, ensuring their relevance in the future of computing. Whether it’s for processing transactions, managing databases, or running complex applications, mainframes will continue to play a crucial role in the success of businesses around the world.

在计算机世界中，术语mainframes指的是强大且大规模的计算机，主要由组织用于关键应用、大数据处理和大规模事务处理。这些机器自20世纪中叶以来一直是企业计算的支柱。与个人计算机不同，mainframes旨在处理大量数据并同时支持数百或数千名用户。 mainframes的历史可以追溯到20世纪50年代，当时它们首次被开发以满足企业和政府机构的需求。早期型号，如IBM 701，为更先进的系统铺平了道路。几十年来，mainframes经历了显著的演变，结合技术进步来提高速度、效率和可靠性。如今的mainframes配备了多核处理器、广泛的内存和高速输入/输出能力，使其适合各种应用，从事务处理到复杂的模拟。 mainframes的一个关键优势是其快速准确地处理大量事务的能力。例如，金融机构极度依赖mainframes来处理每日数百万笔交易。这些系统能够实时处理数据，确保信息是最新和准确的。此外，mainframes提供强大的安全功能以保护敏感数据，使其成为需要高安全级别的行业（如银行和医疗保健）的理想选择。 此外，mainframes以其可靠性和正常运行时间而闻名。许多组织无法承受停机，尤其是在电信和应急服务等关键部门。mainframes的架构旨在最小化故障并确保连续操作。这种可靠性是许多公司继续投资于mainframes的一个重要原因，尽管云计算和分布式系统的兴起。 然而，随着云计算的出现，有人可能会质疑mainframes在现代IT基础设施中的相关性。虽然云解决方案提供灵活性和可扩展性，但由于其性能和处理大型工作负载的能力，mainframes仍然保持独特的地位。许多组织采用混合方法，利用mainframes和云服务来优化其运营。 此外，管理和操作mainframes所需的技能变得越来越稀缺。随着劳动力老龄化，关于缺乏受过培训的专业人员以掌握mainframes技术的担忧日益增加。组织必须投资于培训项目，以确保下一代IT专业人员具备维护这些关键系统所需的技能。 总之，mainframes仍然是计算领域的重要组成部分。它们提供无与伦比的处理能力、可靠性和安全性，使其对许多组织不可或缺。随着技术的不断发展，mainframes可能会适应并与新创新相结合，确保其在未来计算中的相关性。无论是处理事务、管理数据库还是运行复杂应用程序，mainframes将继续在全球企业的成功中发挥至关重要的作用。