creating a set of cooperating microservices

本文深入探讨微服务架构的实现与优化,包括业务逻辑处理、基础设施配置、RESTful API设计及错误处理策略。从构建骨架服务到集成测试,再到运行时属性设置,全面解析微服务的开发流程。

* cooperating services; composite microservices??; aggregated response;

1.introducing the microservice landscape

2. Information handled by microserivces

* business logic, information model, business object,

3.infrustructure-related information

* serviceAddress attribute to all of our response, fomated as hostName/IP address:port

4. Generating skeleton microserivces

* gradle; Spring initializer

5. Spring Initializer to generate skeleton code

* Gradle as a build tool; dependencies on actuator and webflux

* build.gradle,:how to compile, test and package the source code

* plugins are fetched from central maven repositary and spring snapshot and milestone repository.

6. setting up multi project builds in Gradle

*build all microservices with one command

7. Adding RESTFULL APIs

* two projects(api and util) shared by microservice projects

8. Adding an Api and a Util projects

* Java interfaces in order to describe RESTful Api and model classes to describe the data that Api uses in request and response; descipting a RESTful service with a java interface

* a devops perspective, build pipeline, version-controlled independences

9. The api Project

*  api project will be packaged as a library; no longer have main class;

* Springboot dependency management, the construction of a fat jar, the creatation of normal jar files, project's own class and property files.

* a plain POJO-based model class;

10. the util project

* java exceptions to proper http status codes, adding error handle section

11.implementing out api

* @componentScan annotation to the main Application class

* add api and util as dependency in gradle.build file

12.adding a composite microservice

* an intergration component that handles the outgoing http requests to the core services; the composite services itself.

* automated unit and integration testing; replacing the integration component with a mock

* runtime properties, address information

13.properties

* a service delivery mechanism

14.Integration component

* RestComponent, RestTemplete is highly configurable

* actual ongoing calls; exhange, getForObject

15. composite API Implementation

* a function point of view

16. add error handling

* a structured and well-thought way

* seperate protocal-specific handling of error, such as http status code, from business logic

17. the global rest controller exception handler

18. Error-handling in api implatation

* classed as best-effort

19. Testing api manually

20. prevent slow lookup of the localhost hostname

* webTestClient

21. add the semi-automated tests of the microservice landscape

* insufficient; hash script, curl, jq

考虑柔性负荷的综合能源系统低碳经济优化调度【考虑碳交易机制】(Matlab代码实现)内容概要:本文围绕“考虑柔性负荷的综合能源系统低碳经济优化调度”展开,重点研究在碳交易机制下如何实现综合能源系统的低碳化与经济性协同优化。通过构建包含风电、光伏、储能、柔性负荷等多种能源形式的系统模型,结合碳交易成本与能源调度成本,提出优化调度策略,以降低碳排放并提升系统运行经济性。文中采用Matlab进行仿真代码实现,验证了所提模型在平衡能源供需、平抑可再生能源波动、引导柔性负荷参与调度等方面的有效性,为低碳能源系统的设计与运行提供了技术支撑。; 适合人群:具备一定电力系统、能源系统背景,熟悉Matlab编程,从事能源优化、低碳调度、综合能源系统等相关领域研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①研究碳交易机制对综合能源系统调度决策的影响;②实现柔性负荷在削峰填谷、促进可再生能源消纳中的作用;③掌握基于Matlab的能源系统建模与优化求解方法;④为实际综合能源项目提供低碳经济调度方案参考。; 阅读建议:建议读者结合Matlab代码深入理解模型构建与求解过程,重点关注目标函数设计、约束条件设置及碳交易成本的量化方式,可进一步扩展至多能互补、需求响应等场景进行二次开发与仿真验证。
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