在元宇宙场景中研究云原生全链接的多维重建机制
1Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China. positive_y@163.com.
Scientific reports
|December 12, 2023
概括
本研究引入了一种新的微服务多目标优化框架,增强安全性和高并发性测试. 该框架优化了延迟,负载和成本,改善了关键金融应用程序的性能.
科学领域:
- 计算机科学 计算机科学
- 软件工程 软件工程 软件工程
背景情况:
- 微服务架构是优化系统性能和生命周期管理的关键研究领域.
- 现有的框架在整合安全机制和处理高并发性测试方面面临挑战.
- 微服务的优化需要平衡整个链路的延迟,负载和成本.
研究的目的:
- 提出一个多目标优化微服务框架.
- 整合组件安全机制和高并发性测试.
- 为了优化微服务的分割和部署逻辑.
主要方法:
- 开发了一个多目标优化框架,定义了健身功能,上/下极限和多维约束.
- 重建了断路器的电流限制机制.
- 实现实时动态协议参数检测和心跳状态监控.
主要成果:
- 拟议的框架有效地解决了高并发性,可靠性和可用性场景中的性能瓶.
- 在金融和证券应用中显著改进.
- 通过多维约束成功过全球和本地最佳值.
结论:
- 创新的微服务框架为复杂的优化挑战提供了强大的解决方案.
- 它提高了系统性能,安全性和可靠性,特别是在苛刻的行业.
- 该框架为微服务生命周期优化提供了一个可扩展的方法.
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