Decision support for multicloud deployment of a modeling environment

被引:0
|
作者
Lacatusu, Marian [1 ]
Ionita, Anca Daniela [1 ]
Lacatusu, Florin [1 ]
Damian, Ioan [1 ]
机构
[1] Univ Politehn Buchatest, Automat & Ind Informat Dept, Bucharest, Romania
关键词
cloud computing; deployment; modeling environment; decision support; CHALLENGES;
D O I
10.1109/ICCP56966.2022.10053951
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nowadays, many companies arc moving their activities to the cloud. They are using advantages such as collaboration, disaster recovery, and cost savings as the drive for this change. Nonetheless, many cloud providers have different offerings, some more appealing than others. This article describes decisive factors for the deployment of modeling environments using a multicloud deployment platform. This is conceived for users who are specialists in modeling, but not in cloud computing, but who intend to take advantage of cloud environments' capabilities. The automate decisions are made by leveraging the decision trees and providing a decisional algorithm that helps one decide the deployment details. Furthermore, the paper evaluates the algorithm from the perspective of the most valuable outcome of it.
引用
收藏
页码:247 / 251
页数:5
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