云计算技术在计算机数据处理中的应用分析及发展策略

L. Lina
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引用次数: 0

摘要

过去,数据处理是在计算机或服务器上完成的。这是因为当时可用的资源有限。然而,随着技术的进步,可以使用多台计算机和服务器来处理大量数据。这就是云计算发挥作用的地方。云计算允许用户通过互联网连接随时随地访问数据。它还降低了企业的成本,因为他们不必为每个用户购买额外的硬件或软件。针对传统计算机数据处理规模单一、并行计算自适应程度差的问题,提出了一种云计算技术的多源信息加速数据处理方法,分析了云计算技术在计算机数据处理中的应用。并采用云计算速度动态优化技术,构建云计算多源信息数据流应用动态调整模型,以降低云计算的能源成本,结合数据处理用户的经验,该模型可支持云中多用户计算实体共享,提高数据流应用的运行效率,降低计算机数据处理的能源成本。本文首先概述了云计算技术的基本含义,从为数据传输和共享提供条件入手,突出了云计算技术的应用价值。分析了云计算技术的发展趋势,结合云计算技术在计算机数据处理中的建模,提出了云计算技术在计算机数据处理中的应用对策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application Analysis and Development Strategy of Cloud Computing Technology in Computer Data Processing
In the past, data processing was completed on a computer or a server. This is because the resources available at that time were limited. However, with the progress of technology, it is possible to use multiple computers and servers to process large amounts of data. This is where cloud computing comes into play. Cloud computing allows users to access data from anywhere at any time using an Internet connection. It also reduces the cost of enterprises because they do not have to buy additional hardware or software for each user. Aiming at the problems of single scale of traditional computer data processing and poor degree of adaptive parallel computing, this paper proposes a multi-source information accelerated data processing method of cloud computing technology, analyzes the application of cloud computing technology in computer data processing, and adopts the dynamic optimization technology of cloud computing speed to build a dynamic adjustment model of multi-source information data flow application of cloud computing, so as to reduce the energy cost of cloud computing, Combined with the experience of data processing users, the model can support multi-user computing entity sharing in the cloud to improve the running efficiency of data flow applications and reduce the energy cost of computer data processing. This article first outlines the basic meaning of cloud computing technology, starting with providing conditions for data transmission and sharing, and highlighting the application value of cloud computing technology. It analyzes the trend of cloud computing technology, and combines the modeling of cloud computing technology in computer data processing to propose application countermeasures for cloud computing technology in computer data processing.
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