Strategic Management of Cloud Service Portfolio Using Genetic Algorithm

Autor: Viktor P. Semenov, Roman V. Sokolov, Igor L. Andreevskiy
Rok vydání: 2019
Předmět:
Zdroj: 2019 XXII International Conference on Soft Computing and Measurements (SCM)).
DOI: 10.1109/scm.2019.8903828
Popis: The article proposes a static model of strategic portfolio management of cloud services, a distinctive feature of which is the assessment of the information security of the service portfolio. A dynamic model for the strategic management of the cloud services portfolio has been built, taking into account the dynamics of sales of services. The methods for performing calculations on the proposed models are given. The method of portfolio formation based on the genetic algorithm supported by the MATHLAB package is considered.
Databáze: OpenAIRE