Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)

Representation of Subject Knowledge from the Field of Vulnerability Analysis of Energy Systems in Distributed Applied Software Packages

Authors
Alexei Edelev, Natalia Beresneva, Sergei Gorsky, Ivan Sidorov, Alexander Feoktistov
Corresponding Author
Alexei Edelev
Available Online September 2019.
DOI
https://doi.org/10.2991/iwci-19.2019.32How to use a DOI?
Keywords
critical infrastructure; energy system; vulnerability; distributed computing
Abstract
The paper proposes a new high-level language of the Orlando Tools toolkit. It is designed for representing subject knowledge in studying the vulnerability of critical energy infrastructures using distributed applied software packages. The experimental results show that the applying of subject knowledge and information about the characteristics and use-rules of environment resources in Orlando Tools ensures us a number of advantages in comparison with other distributed computing management systems. Among them are selecting the optimal configuration of the computational infrastructure in solving large-scale practical problems, creating the effective problem-solving schemes, and the rational allocating environment resources, etc.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Alexei Edelev
AU  - Natalia Beresneva
AU  - Sergei Gorsky
AU  - Ivan Sidorov
AU  - Alexander Feoktistov
PY  - 2019/09
DA  - 2019/09
TI  - Representation of Subject Knowledge from the Field of Vulnerability Analysis of Energy Systems in Distributed Applied Software Packages
BT  - VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)
PB  - Atlantis Press
SP  - 184
EP  - 188
SN  - 1951-6851
UR  - https://doi.org/10.2991/iwci-19.2019.32
DO  - https://doi.org/10.2991/iwci-19.2019.32
ID  - Edelev2019/09
ER  -