MatchCom: Stable Matching-Based Software Services Composition in Cloud Computing Environments
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62362-2_27
Reference11 articles.
1. Bi, X., Yu, D., Liu, J., Hu, Y.: A preference-based multi-objective algorithm for optimal service composition selection in cloud manufacturing. Int. J. Comput. Integr. Manuf. 33(8), 751–768 (2020)
2. Kumar, S., Chen, T., Bahsoon, R., Buyya, R.: DebtCom: technical debt-aware service recomposition in SaaS cloud. IEEE Trans. Serv. Comput. 16(4), 2545–2558 (2023)
3. Pudasaini, D., Ding, C.: Service selection in a cloud marketplace: a multi-perspective solution. In: 2017 IEEE 10th International Conference on Cloud Computing (Cloud), pp. 576–583 IEEE (2017)
4. Wang, H., Ma, P., Yu, Q., Yang, D., Li, J., Fei, H.: Combining quantitative constraints with qualitative preferences for effective non-functional properties-aware service composition. J. Parallel Distrib. Comput. 100, 71–84 (2017)
5. Choi, C.R., Jeong, H.Y.: A broker-based quality evaluation system for service selection according to the QoS preferences of users. Info. Sci. 77, 553–566 (2014)
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