Allocation and application of computer software system based on system architecture

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-03-22 DOI:10.3233/JIFS-189841
Xiao Di
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引用次数: 5

Abstract

 With the improvement of software system complexity and frequent updating of user requirements, the requirements of the information software development industry for information construction are constantly improved, and the quality and management requirements of software products researched and developed are also constantly improved. Project managers in the information software development industry gradually realize the importance and necessity of software system deployment. It requires scientific, timely, effective and clear work. Software system deployment system for task division and task monitoring. Based on the research results at home and abroad, this paper studies the deployment of computer software system based on event-driven architecture by using a discrete Fourier transform algorithm, decision tree algorithm and parallel algorithm. By comparing and optimizing the advantages and disadvantages of discrete Fourier transform algorithm, decision tree algorithm and parallel algorithm. This paper studies the unified management, scheduling and allocation of computer software resources. The results show that after using the research model, the data error is controlled within 5%, and the overall data accuracy is improved by 15% compared with the previous methods, which have certain practical value.
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基于系统体系结构的计算机软件系统配置与应用
随着软件系统复杂性的提高和用户需求的频繁更新,信息软件开发行业对信息化建设的要求不断提高,对所研发的软件产品的质量和管理要求也不断提高。信息软件开发行业的项目经理逐渐认识到软件系统部署的重要性和必要性。它要求工作科学、及时、有效、明确。软件系统部署系统,用于任务划分和任务监控。本文在借鉴国内外研究成果的基础上,采用离散傅立叶变换算法、决策树算法和并行算法,研究了基于事件驱动架构的计算机软件系统的部署。通过比较和优化离散傅里叶变换算法、决策树算法和并行算法的优缺点。本文对计算机软件资源的统一管理、调度和分配进行了研究。结果表明,采用研究模型后,数据误差控制在5%以内,总体数据精度较以往方法提高15%,具有一定的实用价值。
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
期刊介绍: The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
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