时间关键型网络安全应用中异构微服务异步性能中心框架设计指南BIECO用例

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Expert Systems Pub Date : 2025-04-29 DOI:10.1111/exsy.70064
Daniela Delinschi, Rudolf Erdei, Emil Marian Pasca, Iulia Bărăian, Oliviu Matei
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引用次数: 0

摘要

本文介绍了一种微服务编排方法的体系结构、设计和验证,该方法可以提高基于异构微服务平台的灵活性。改进时间关键型应用程序的用户体验和交互是体系结构设计的主要目标。每个微服务都可以提供自己的嵌入式用户界面组件,也可以将其分散,从而改进体系结构的松耦合方法。获得的结果是有希望的,具有高吞吐量和低响应时间。另外,一个重要的发现是将基准测试作为性能关键型软件组件开发生命周期中的一个新步骤引入,并提供了如何在敏捷方法中应用基准测试的示例。建议进一步研究以改进结果,提高系统的最终技术就绪水平。获得的结果已经使该方法成为古典服务作曲家的候选和可行的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case

Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case

This article presents the architecture, design and validation of a microservice orchestration approach that improves the flexibility of heterogeneous microservice-based platforms. Improving user experience and interaction for time-critical applications are aspects that were primary objectives for the design of the architecture. Each microservice can provide its own embedded user interface component, also decentralising it and, in consequence, improving the loosely coupled approach to the architecture. Obtained results are promising, with high throughput and low response times. Also, a key finding was the introduction of benchmarking as a new step in the development lifecycle of performance-critical software components, with an example of how it can be applied within an Agile methodology. Further research is proposed to improve the results and raise the final technology readiness level of the system. Obtained results already make the approach a candidate and viable alternative to classical service composers.

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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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