Software for measurement and evaluation of performance parameters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APR34384" target="_blank" >RIV/00216305:26230/21:PR34384 - isvavai.cz</a>
Result on the web
<a href="https://pajda.fit.vutbr.cz/tacr-unis/prefekt/-/tree/prefekt-1.0-hotfix" target="_blank" >https://pajda.fit.vutbr.cz/tacr-unis/prefekt/-/tree/prefekt-1.0-hotfix</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Software for measurement and evaluation of performance parameters
Original language description
Prefekt is an open source tool, that analyses performance profiles captured from analysis and simulation of both digital twins and real traffic of factory production environment (corresponding components, information system, ERP systems, etc.). The main use case of the Prefekt is for detecting anomalies in performance of individual components in the environment---the machines, the terminals, ERP (Enterprise Resource Planning) systems and the PIS (Production Information System)---as well as during the process of their analysis and simulation. The tool is mainly meant to be used together with the latest extension of the Tyrant tool, that can generate scenario for simulation of digital twins as well as performance profiles. The tool (and its process) works in the following phases: 1. Prefekt unifies source performance profiles (that can be either in form of a file in JSON format or a query to remote elastic search engine) and creates two data frames (tables) corresponding to baseline (expected) and target (analysed) performance. 2. The dataframes are divided to smaller data frames corresponding to each unique type of resources in the profiles (e.g. the duration of the testing, or the CPU usage) and zipped to pairs of baseline and target dataframes. 3. For each unique pair of resources types, the correlation coeeficient is computed. Resources that are highly correlated with other resource types (e.g. CPU and memory usage in many use cases) are then skipped from analysis. 4. For each pair of baseline and target resources, Prefect detects potential anomalies and reports the difference between the models of the resources as well as effect size of the change.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TN01000077" target="_blank" >TN01000077: National Centre of Competence in Cybersecurity</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
prefekt
Technical parameters
Software je volně dostupný včetně zdrojových textů. Pro informace o licenčních podmínkách prosím kontaktujte: Výzkumné centrum informačních technologií, Fakulta informačních technologií VUT v Brně, Božetěchova 2, 612 66 Brno.
Economical parameters
Software je volně dostupný včetně zdrojových textů.
Owner IČO
00216305
Owner name
Vysoké učení technické v Brně