INTELLIGENCE SYSTEMS AND TECHNOLOGIES
COMPUTING SYSTEMS AND NETWORKS
MATHEMATICAL MODELLING
L. A. Mylnikov, D. E. Kunakbaev, A. A. Ivanov Quantitative Assessment of Information Process Performance via Modeling and Statistical Analysis
DATA PROCESSING AND ANALYSIS
MANAGEMENT AND DECISION MAKING
L. A. Mylnikov, D. E. Kunakbaev, A. A. Ivanov Quantitative Assessment of Information Process Performance via Modeling and Statistical Analysis
Abstract. 

The article explores a method for quantitative research of the effectiveness of information infrastructure, systems, and process activities using the Event-driven Process Methodology (EdPM) notation and the results of simulation modeling for structural-functional models. To assess effectiveness, statistical data obtained from simulation modeling and graph analysis methods are used. A modified version of the PageRank algorithm is presented, enabling the ranking of nodes based on the number of accesses and analyzing loading times depending on the calculation step. A sequence of steps is proposed to obtain quantitative efficiency estimates, thereby allowing for the comparison of structural-functional models while considering the conditions in which they operate. The article includes an example of deriving efficiency estimates for a structural-functional model of a multi-production project management process.

Keywords: 

Event-driven Process Methodology, EdPM, Structure-Function Modeling, Simulation, PageRank, Performance of the structural-functional model.

DOI 10.14357/20718632250309

EDN PTFNJX

PP. 98-112.

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