Autors: Romansky, R. P., Romanska, I. S.
Title: Software tools for analytical modeling of workload
Keywords: analytical model, workload investigation; program tools

Abstract: Computer modeling is one of the approaches for investigation of structures and processes. The main component in the model study is the generation of the input flow, which forms the workload of the system. A random number generator is usually used to model the incoming program units. In this regards, the purpose of the article is to present developed software tools that form a model environment for generating stochastic flow when presenting workload of computer system. The software realization is made by using the tools of the program environment TryAPL2 which has a programming language APL2 for parallel processing. Initial analytical description is made based on preliminary iscussion and formulation of the problem. The organization of the analytical modelling is based on presentation of program modules for generating random numerical sequences with the probability distributions most commonly used in computer systems.



    AIP Conference Proceedings, vol. 2505, issue 1, pp. 060005-1 - 060005-8, 2022, United Kingdom, DOI 10.1063/5.0100691

    Цитирания (Citation/s):
    1. A. Hristov. Using Python for development of an application for building and experimenting with GPSS simulation models. 2023 31st National Conference with International Participation (TELECOM), Sofia, Bulgaria, 2023, pp. 1-4, doi: 10.1109/TELECOM59629.2023.10409696 - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science