计算机科学技术专家讲座（二）——Pedro Mestre

吉林省大数据智能认知国际科技合作重点实验室专家交流活动

报告题目：A Framework Architecture for Easy Integration of Software Components

报告时间：2024年1月17日 15:00-16:30

报告地点：吉林大学中心校区王湘浩楼B122

报 告 人：Pedro Mestre

报告人简介：

He is the Technical Manager (Responsável Técnico) at CEiiA, Matosinhos and the Assistant Professor at the Engineering Department of the University of Trás-os-Montes and Alto Douro (UTAD), Portugal. He has over 25 years’ experience in software & firmware development for academic R&D projects, over 15 years’ experience in software development for public and private sector entities (mostly in Java), plus 28 years of university teaching on subjects including hardware, firmware and software engineering.

报告内容简介：

We live in an era of connected devices that, not only, connect people with each other, but that also interact with other devices. Connected devices and applications, that provide these iterations, have to be integrated through platforms that enable these iterations. One of the challenges that software engineers face, when developing such platforms, is the integration process of devices and applications, which might be provided by different developers and vendors. Although these devices and applications can use standard, and very well known, protocols (e.g. HTTP, CoAP, ...) and data formats (e.g. JSON, XML, ...) , not all components use the same protocols and data formats. These integration challenges can lead to ad-hoc integration solutions, which are very time and resources consuming. In fact, if we have M data sources that need to send data to N data sinks, we might end-up by having to develop M*N integration solutions. In this lecture it will be presented a framework that was developed to build connectivity platforms having in mind an easy integration and re-use of components, allowing a faster and more efficient integration process. With this framework, the needed integration solution is in the order of N+M, not M*N.

主办单位：吉林大学计算机科学与技术学院

吉林大学软件学院

吉林大学计算机科学技术研究所

符号计算与知识工程教育部重点实验室

仿真技术教育部重点实验室

网络技术及应用软件教育部工程研究中心

吉林大学国家级计算机实验教学示范中心