Forecasting the efficiency of multicomponent computer systems

Fìz.-mat. model. ìnf. tehnol. 2021, 32:96-100

  • Vasyl Gorbachuk V. M. Glushkov Institute of Cybernetics of NAS of Ukraine, Glushkova Str., 40, 03187, Kyiv
  • Maksym Dunaievskyi V. M. Glushkov Institute of Cybernetics of NAS of Ukraine, Glushkova Str., 40, 03187, Kyiv
  • Seit-Bekir Suleimanov V. M. Glushkov Institute of Cybernetics of NAS of Ukraine, 40 Glushkova Ave., 03187, Kyiv
Keywords: levels of parallelism, cloud computing, coefficient of successive narrowing, acceleration, workload, big data

Abstract

The advantages and disadvantages of Mooreʼs, Hilderʼs, Amdalʼs, Gustafson-Barsis laws known in the field of information and communication technologies are shown, offering the necessary mathematical apparatus for constructing similar laws for predicting the efficiency of modern multicomponent computing systems. This apparatus includes both the parameters of the components of computer systems, and possible interdependencies between those parameters. In general, forecasting the efficiency of computer systems requires detailed documentation of the work of computer systems of the class given (the series given) on certain types of tasks with subsequent processing of the data obtained. The collection and processing of this data must take place and be recorded in the dynamics with assistance of appropriate smart sensors of the Internet of Things class.

References
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Published
2021-07-07
How to Cite
Gorbachuk, V., Dunaievskyi, M., & Suleimanov, S.-B. (2021). Forecasting the efficiency of multicomponent computer systems. PHYSICO-MATHEMATICAL MODELLING AND INFORMATIONAL TECHNOLOGIES, (32), 96-100. https://doi.org/10.15407/fmmit2021.32.096