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Article . 2014
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О возможностях моделирования гетерогенных информационных систем на основе агентного подхода

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2014 Russian Publisher:Государственное образовательное учреждение высшего профессионального образования "Саратовский государственный технический университет"Journal:Вестник Саратовского государственного технического университета (issn: 1999-8341, Copyright policy )

О возможностях моделирования гетерогенных информационных систем на основе агентного подхода

Abstract

The paper presents the comparative analysis of three advanced technologies for heterogeneous information systems implementation (EII, EAI and ETL) including their benefits, scope of coverage and weak points. For the most perspective and appropriate implementation technology, Enterprise Information Integration (EII), the agent-based method of heterogeneous information systems modeling is described by means of available approach capabilities.

В рамках данной работы представлен сравнительный анализ трех современных технологий построения гетерогенных информационных систем: EII, EAI, ETL. Сделаны выводы о перспективности каждой из представленных технологий. Для моделирования гетерогенных информационных систем с применением технологии EII исследована и обоснована актуальность применения компьютерного моделирования на основе агентного подхода.

Keywords

КОМПЬЮТЕРНОЕ МОДЕЛИРОВАНИЕ, АГЕНТНОЕ МОДЕЛИРОВАНИЕ, ГЕТЕРОГЕННЫЕ ИНФОРМАЦИОННЫЕ СИСТЕМЫ, EII-СИСТЕМЫ, ИНТЕГРАЦИЯ ИНФОРМАЦИИ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average