Abstract
Nowadays, simulation modeling is a relevant and practically significant means in the field for research of infrastructure object functioning. It forms the basis for studying the most important components of such objects represented by their digital twins. Applying meteorological data, in this context, becomes an important issue. In the paper, we propose a new microservice-based approach for organizing simulation modeling in heterogeneous distributed computing environments. Within the proposed approach, all operations related to data preparing, executing models, and analyzing the obtained results are implemented as microservices. The main advantages of the proposed approach are the parameter sweep computing within simulation modeling and possibility of integrating resources of public access supercomputer centers with cloud and fog platforms. Moreover, we provide automated microservice web forms using special model specifications. We develop and apply the service-oriented tools for studying environmentally friendly equipment of the objects at the Baikal natural territory. Among such objects are recreation tourist centers, children’s camps, museums, exhibition centers, etc. As a result, we have evaluated the costs for the possible use of heat pumps in different operational and meteorological conditions for the typical object. The provided comparative analysis has confirmed the aforementioned advantages of the proposed approach.
Highlights
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It becomes necessary to carry out research on modeling, predicting, and controlling the efficiency of resource exploitation during the operation of various objects associated with human activities
We developed a constructor of the microservice composition
Summary
One of the global challenges is the careful and efficient use of natural resources. A practically significant problem that we are facing is the reduction of power consumption. It becomes necessary to carry out research on modeling, predicting, and controlling the efficiency of resource exploitation during the operation of various objects associated with human activities. In such studies, the data use on both the objects under study and the environment is required. The collection and analysis of meteorological data (cloudiness, solar radiation, temperature, etc.) play here an important role since such atmospheric parameters significantly affect power consumption
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