Abstract
A microservice-based system is composed of a set of microservices that are developed and deployed independently for agile DevOps. Intensive and iterative adaptations/upgrades of microservices are essential for such systems to adapt to user requirement changes, and as a consequence, result in the phenomenon of “multi-version microservice coexistence” in a system. Besides traditional API-based functional dependencies between different microservices, there appear complicated dependencies between different versions of difference microservices. The complicated dependencies dramatically deteriorate the maintainability of microservice systems, especially when systems evolve to adapt to user requirement changes. To meet this challenge, a version dependency model is proposed for describing the complex dependencies between different versions of microservices, and a greedy-based optimization algorithm is developed for generating an optimal evolution plan. A programming framework (MF4MS) and cloud-edge based infrastructure (MI4MS) are implemented to facilitate microservice systems to automatically execute the evolution plan. Experiments show that the proposed approach performs well to cope with self-adaptation in the situation where complicated version dependencies exist.
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Acknowledgement
Research in this paper is partially supported by the National Key Research and Development Program of China (No 2018YFB1402500), the National Science Foundation of China (61772155, 61832014, 61832004, 61802089, 61472106).
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He, X., Tu, Z., Liu, L., Xu, X., Wang, Z. (2020). Optimal Evolution Planning and Execution for Multi-version Coexisting Microservice Systems. In: Kafeza, E., Benatallah, B., Martinelli, F., Hacid, H., Bouguettaya, A., Motahari, H. (eds) Service-Oriented Computing. ICSOC 2020. Lecture Notes in Computer Science(), vol 12571. Springer, Cham. https://doi.org/10.1007/978-3-030-65310-1_1
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