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Microservice combination optimisation based on improved gray wolf algorithm.
- Source :
-
Connection Science . 2023, Vol. 35 Issue 1, p1-18. 18p. - Publication Year :
- 2023
-
Abstract
- Microservices architecture is a new paradigm for application development. The problem of optimising the performance of microservice architectures from a non-functional perspective is a typical Nondeterministic Polynomial (NP) problem. Therefore, aiming to quantify the non-functional requirements of computing microservice systems, while solving the problem of latency in computing the best combination of services with the maximum QoS objective function value, this paper proposes a microservice combination approach based on the QoS model and a CGWO algorithm for optimisation computation for this model. The experimental results verify that the error rate of the method is only 0.528% on the non-functional combination optimisation problem, and the computational efficiency of the algorithm increases by 97.29% when the complexity of the problem search space increases, while CGWO improves 65.97% and 81.25% respectively in the accuracy of optimisation compared to the prototype of the algorithm (GWO), and has a stable optimisation performance, aspect. It proves that the research in this paper has a high advantage in automatically searching for the best QoS for the microservice combination problem. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09540091
- Volume :
- 35
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Connection Science
- Publication Type :
- Academic Journal
- Accession number :
- 174523345
- Full Text :
- https://doi.org/10.1080/09540091.2023.2175791