FIELD: computing.
SUBSTANCE: present invention relates to the field of computing for complex information computing systems and data centers. The effect is achieved by means of a probabilistic automaton containing a random sequence sensor 1, a block for generating non-integer values of indicators 2, a correction block 3, a block for generating matrix values 4, a control unit 5, a block for threshold devices 6, a block for generating indicator values 7, a clock pulse generator 8 , the PROHIBITION element 9, the AND element block 10, the memory block 11, the decoder 12, the time setting block 13, the OR element 14, the source data type analysis block 15, the source data type conversion block 16, the granulation block 17 and the granular calculation block 18.
EFFECT: increasing the reliability of modeling the parameters of the real process of functioning of complex information computing systems and complexes of data processing centers in conditions of a priori inaccuracy of high-dimensional initial data.
3 cl, 3 dwg
Title | Year | Author | Number |
---|---|---|---|
PROBABILISTIC AUTOMATIC MACHINE | 2018 |
|
RU2718214C1 |
PROBABILISTIC AUTOMATION | 2000 |
|
RU2169944C1 |
RANDOM SERIES GENERATOR | 2022 |
|
RU2797406C1 |
PROBABILITY DEVICE | 2005 |
|
RU2276402C1 |
RANDOM SEQUENCE GENERATOR | 2016 |
|
RU2635898C1 |
APPARATUS FOR STOCHASTIC AND FUZZY MODELLING OF THE PROCESS OF FUNCTIONING OF ADVANCED TELECOMMUNICATION NETWORKS | 2021 |
|
RU2773870C1 |
PROBABILISTIC MACHINE | 2001 |
|
RU2195697C1 |
PROBABILISTIC AUTOMATION | 1998 |
|
RU2139569C1 |
APPARATUS FOR PREDICTING RANDOM EVENTS | 2020 |
|
RU2763126C1 |
INFORMATION TRAFFIC MONITORING DEVICE | 2020 |
|
RU2740534C1 |
Authors
Dates
2022-08-05—Published
2021-10-04—Filed