Reviving legacy enterprise systems with microservice-based architecture within cloud environments

Habibullah, Safa; Liu, Xiaodong; Tan, Zhiyuan; Zhang, Yonghong; Liu, Qi

Abstract

Evolution has always been a challenge for enterprise computing systems. The microservice based architecture is a new design model which is rapidly becoming one of the most effective means to re-architect legacy enterprise systems and to reengineer them into new modern systems at a relatively low cost. This architectural style has evolved based on a number of different approaches and standards. However, there are quite a few technical challenges which emerge when adopting microservices to revive a legacy enterprise system. In this paper, an evolution framework and a set of feature-driven microservices-oriented evolution rules have been proposed and applied to modernise legacy enterprise systems, with a special emphasis on analysing the implications as regards runtime performance, scalability, maintainability and testability. Testing and evaluation have been carried out in depth, aiming to provide a guidance for the evolution of legacy enterprise systems.

Citation

Habibullah, S., Liu, X., Tan, Z., Zhang, Y., & Liu, Q. (2019, June). Reviving legacy enterprise systems with microservice-based architecture within cloud environments. Presented at 5th International Conference on Software Engineering (SOFT 2019), Copenhagen, Denmark

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 5th International Conference on Software Engineering (SOFT 2019)
• Start Date: Jun 29, 2019
• End Date: Jun 30, 2019
• Acceptance Date: May 6, 2019
• Online Publication Date: Jul 5, 2019
• Publication Date: Jul 5, 2019
• Deposit Date: May 13, 2019
• Publicly Available Date: Jul 5, 2019
• Publisher: Academy & Industry Research Collaboration Center (AIRCC) Publishing
• Series Title: Computer Science & Information Technology (CS & IT) Series
• Series Number: 9
• Series ISSN: 2231-5403
• Book Title: Computer Science Conference Proceedings
• ISBN: 978-1-925953-03-9
• DOI: https://doi.org/10.5121/csit.2019.90713
• Keywords: Microservice; Legacy System; Software Evolution; Cloud Environment
• Public URL: http://researchrepository.napier.ac.uk/Output/1801147
• Publisher URL: http://airccse.org/csit/V9N07.html
• Contract Date: May 13, 2019