Abstract
All organizations engage in ongoing maintenance of their information systems due to constant changes in users’ needs and governments’ regulations. However these systems are monolithic making this maintenance a nightmare. To address this monolithic nature different technologies like commercial-of-the-shelf, service-oriented architecture, and lately microservices are proposed. This paper focuses on microservices by discussing their automatic identification from a set of business processes. Thanks to business processes, control and data dependencies between their activities are extracted and then clustered together. Each cluster constitutes a candidate microservice. To illustrate and demonstrate microservice automatic identification, a case study about renting bikes in the city of Barcelona is adopted and then implemented. In term of precision, the results show how business processes as inputs permit to generate better microservices compared to other approaches discussed in the paper, as well.
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Notes
- 1.
- 2.
- 3.
In our work, individuals are activities and features are control and data dependencies.
- 4.
Let n be 3, \(\sum _{r=1,n} (\frac{r}{n} \times C(n,r))\) has the following value: (\(\frac{1}{3} \times 3 + \frac{2}{3} \times 3+ \frac{3}{3} \times 1\)=4).
- 5.
Let n be 3, \(\sum _{r=1,n} C(n,r)\) has the following value: (3+ 3+ 1)=7.
- 6.
\(distance [distance(C_u,C_v)]^{p}_{M}\) computes any distance between 2 clusters \(C_u\) and \(C_v\) by using the score Matrix M of the iteration p.
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Daoud, M., Mezouari, A.E., Faci, N., Benslimane, D., Maamar, Z., Fazziki, A.E. (2020). Automatic Microservices Identification from a Set of Business Processes. In: Hamlich, M., Bellatreche, L., Mondal, A., Ordonez, C. (eds) Smart Applications and Data Analysis. SADASC 2020. Communications in Computer and Information Science, vol 1207. Springer, Cham. https://doi.org/10.1007/978-3-030-45183-7_23
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