| Autor: |
Akhmetov, Bakhytzhan, Lakhno, Valerii, Gusev, Boris, Lakhno, Miroslav, Porokhnia, Ivan, Zhilkishbayeva, Gulnaz, Akhanova, Madina |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Recent Research in Control Engineering and Decision Making |
| Popis: |
The article proposes algorithms for an adaptive decision support system (DSS) related to the scaling of cloud applications (ClAPP) for the digital educational environment (DEE) of the university, as well as for determining the time for executing a network request. Based on information about the state of the DEE and the algorithms proposed for the DSS in the article, there are formed sets of rules for reactive scaling and assessment of the effectiveness of the DEE of the university. The proposed algorithms for adaptive DSS allow making flexible decisions about scaling the cloud application of the DEE of the university. There was also developed a model of the criterion function for the analysis of scaling variants of the DEE of the university. This allows getting an economic assessment of the cloud application effectiveness. This assessment is based on the cost of maintaining the infrastructure of the cloud application, as well as on the assessment of the number of users who are forced to use ClAPP due to its overload. The developed algorithm can be used as a constituent of the information technology for ClAPP scaling not only for universities, but also for other objects informatization. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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