Zorkalzev V.I., Edelev A.V., Perzhabinsky S.M., Sidorov I.A., Feoktistov A.G. Studying the natural gas market under demand uncertainty using a heterogeneous distributed computing environment // Journal of Physics: Conference Series. Vol.1333. No.7. ID: 072005. 2019. DOI: 10.1088/1742-6596/1333/7/072005 In the paper, we propose a new model of the natural gas market simulation. It takes into account the random ...
Теги: commerce , natural gas , personal computers , demand fluctuations , demand uncertainty , distributed computing environment , heating period , natural gas demand , natural gas markets , simulation accuracy , tem... large-scale problems of energy security research // Journal of Physics: Conference Series. Vol.1368. No.5. ID: 052030. 2019. DOI: 10.1088/1742-6596/1368/5/052030 We represent a new approach to the development and use of a subject-oriented heterogeneous distributed computing environment for solving large-scale problems of energy security research. Both the development of scalable applications (distributed applied software packages) and the computing resources integration are conducted using the Orlando ...
Теги: application programs , multi agent systems , nanotechnology , collaborative application , computing environments , computing resource , continuous integrations , distributed computing environment , heterogene... 2019. P.289-300. ISBN (print): 9783030058067. DOI: 10.1007/978-3-030-05807-4_25 The paper addresses the relevant problem related to the development of scientific applications (applied software packages) to solve large-scale problems in heterogeneous distributed computing environments that can include various infrastructures (clusters, Grid systems, clouds) and provide their integrated use. We propose a new approach to the development of applications for such environments. It is based on the integration ...
Теги: cloud , energy research , grid , scientific application , application programs , cloud computing , clouds , energy security , multi agent systems , distributed applications , distributed computing environment , grid and cloud computing , hybriFeoktistov A., Sidorov I., Tchernykh A., Edelev A., Zorkalzev V., Kostromin R., Gorsky S., Bychkov I., Avetisyan A. Multi-Agent Approach for Dynamic Elasticity of Virtual Machines Provisioning in Heterogeneous Distributed Computing Environment // Proceedings - 2018 International Conference on High Performance Computing and Simulation, HPCS 2018. ID: 8514450. P.909-916. ISBN (print): 9781538678787. DOI: 10.1109/HPCS.2018.00145 We address dynamic elasticity ...
Теги: cloud , grid , multi-agent management , virtual machines , clouds , elasticity , energy security , grid computing , network security , problem solving , scheduling , virtual machine , virtual reality , virtualization , distributed computing environment , multi age....org/Vol-2212/paper12.pdf We address the relevant problem of machine learning in a multi-agent system for distributed computing management. We propose a new approach to the agent learning in the system for managing job flows of scalable applications in a heterogeneous distributed computing environment, which includes high-performance computing clusters, as its main components. We manage parameter sweep applications that execute their jobs in a virtual machine environment. We use the specialized tools to implement such ...
Теги: learning systems , multi agent systems , nanotechnology , distributed computing environment , energy development , high-performance computing clusters , job classification , parameter adjustments , parameter... strategy for its development. We describe an algorithm for formation of the graph of feasible options for the development of the system. The approach is illustrated by an example. The described algorithms are implemented in the software package for a distributed computing environment. © 2018, Pleiades Publishing, Ltd. нет
Теги: combinatorial modeling , decision support , energy system , decision support systems , directed graphs , distributed computer systems , decision supports , distributed computing environment , energy systems , long term process , long-term straEdelev A.V., Zorkaltsev V.I. The combinatorial modelling of energy development options // Proceedings of 2017 10th International Conference Management of Large-Scale System Development, MLSD 2017. ID: 8109614. ISBN (print): 9781538607985. DOI: 10.1109/MLSD.2017.8109614 The article describes the combinatorial modeling approach to the research of energy sector development. The idea of the approach is to model a system development in the form of a directed graph which nodes correspond to the possible...
Теги: combinatorial modeling , decision support , distributed computing environment , energy sector , decision support systems , directed graphs , distributed computer systems , large scale systems , decision supports , energy development , energy s... possible external and internal conditions, to determine an optimal development strategy of the system under study. The formation and analysis procedures of energy development options are implemented in the Corrective software package. The heterogeneous distributed computing environment is needed to compute an energy sector development graph. In 2015 Institute of Energy Science of Vietnamese Academy of Science and Technology performed the study of Vietnam sustainable energy development from 2015 to 2030....
Теги: combinatorial modelling , decision support , distributed computing environment , energy sector , combinatorial mathematics , computation theory , decision support systems , directed graphs , distributed computer systems , energy conservation , energy policy , energy
