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SPECIFIC ASPECTS OF THE OPTIMIZATION OF THE REENGINEERING PROCESSES OF THE DISTRIBUTED INFORMATION APPLICATIONS

Marian Pompiliu Cristescu

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.1/s07.082View metrics

Abstract

Optimization is an iterative iterative process of improving the distributions of distributed computer applications obtained through the reengineering process so as to ensure the efficient allocation of resources for the implementation of the stages included in the reengineering. The article mentions how to choose each new goal and studies the model already implemented to start the project. It starts from the design of the existing application, and then applies the succession of stages specific to re-engineering. Optimizing reengineering processes involves adding new steps, methods, techniques and procedures. Optimization stages of the reengineering process correspond to optimized application variants including the results obtained for each optimally identified prior criterion. Application variants in the optimization process are done by simulation to reduce the duration and costs. There are a number of variants of the application that converge to the optimal version. Later on, development is proceeding. Application variants are analyzed in the panel to provide an overview of the reengineering optimization process. Reingineria is treated as a discrete linear dynamic system, and optimization pursues its stability.

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Publication details

Title
SPECIFIC ASPECTS OF THE OPTIMIZATION OF THE REENGINEERING PROCESSES OF THE DISTRIBUTED INFORMATION APPLICATIONS
Authors
Marian Pompiliu Cristescu
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
627-636
SWS Citekey
Cristescu20197627636
ISSN
1314-2704
ISBN
978-619-7408-79-9
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 2

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