基于Web技术的社会体育管理信息平台建设的可扩展性与可持续性

IF 0.9 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Scalable Computing-Practice and Experience Pub Date : 2023-09-10 DOI:10.12694/scpe.v24i3.2382

Mengyan Wu, Yuanyuan Hou, Yueqin Tang

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引用次数: 0

摘要

可扩展性和可持续性是网站需要的主要特征。此外，在社会体育管理中，信息平台必须是可靠的。因此，为了前面提到的目的，在实证研究中讨论了开发基于web技术的平台的不同工具。本研究采用二手资料分析和定性方法。此外，还注意到基于web技术的平台存在一些问题。研究发现，一开始完善的发展战略有助于交通管理。此外，改进的技术栈直接关系到体育管理系统的数据分析过程。在建设过程中缺乏这些因素，降低了社会体育管理信息平台的可扩展性和可持续性。因此，本文对web管理平台的可持续性和可扩展性进行了全面的讨论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Scalability and Sustainability in the Construction of a Social Sports Management Information Platform based on Web Technology

Scalability and Sustainability are a major traits that a website requires. Moreover, in Social sports management, information platforms must be reliable. Thus, different tools for developing a platform based on web technology are discussed in an empirical study for the purposes mentioned earlier. For the study, secondary data was analyzed, and qualitative methods were used. In addition, it was noticed that there are some problems related to a web technology-based platform. It was found that an improved development strategy in the beginning aids in traffic management. In addition, an improved tech stack is directly related to the data analysis process of a sports management system. A lack of such factors in the construction process reduced the scalability and sustainability of a social sports management information platform. Thus, a complete discussion aimed at understanding the sustainability and scalability of a web management platform is done.

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来源期刊

Scalable Computing-Practice and Experience COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： The area of scalable computing has matured and reached a point where new issues and trends require a professional forum. SCPE will provide this avenue by publishing original refereed papers that address the present as well as the future of parallel and distributed computing. The journal will focus on algorithm development, implementation and execution on real-world parallel architectures, and application of parallel and distributed computing to the solution of real-life problems.