Virtual Streaming Computing Systems with Architecture Based on the Neural Network Information Model

Autor:	O. A. Slavin, A. V. Myshev
Rok vydání:	2021
Předmět:	History Artificial neural network Information model Computer science Distributed computing Architecture Computing systems Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1828:012079
ISSN:	1742-6596 1742-6588
Popis:	The paper reveals the functional, structural and logical organization of new generation virtual streaming computing systems. Such systems allow realizing a new paradigm of computational intelligence and accessing new intelligent computing capabilities. The paradigm that allows realizing new advantages of virtual streaming computing systems is considered. These capabilities are implemented based on information models of a neural network and non-traditional principles for the development and implementation of various forms of computing. New forms of computing make it possible to control the mechanisms of parallelism, virtualization and intellectualization on the information dynamics of objects in the computing environment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::23b0af2868bf778a33de0224e761daf1 https://doi.org/10.1088/1742-6596/1828/1/012079 Zobrazit plný text záznamu