Toward microservices: an intelligent modernization and optimization of service points location system at Hydro-Québec

This partnership project with Hydro-Québec focuses on providing a better-informed optimization for service point location and modernizing the architecture of the optimization system. Our objective is to leverage the abundant data from Hydro-Québec to build robust forecasting models that can predict the workload demand at each potential or available service point. We also aim to improve the quality of the service point location optimization system through an intelligent, automated and data-driven detection of the violations of fundamental design principles that negatively impact the design quality of the system. We will then work on the recommendation of migration steps towards a modern microservices architecture style that makes the engineering of complex software intensive systems, flexible, scalable, and easy-to-perform.

Faculty Supervisor:

Mohamed Aymen Saied

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Utilities

University:

Université Laval

Program: