ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 5. Vol. 24. 2018

DOI: 10.17587/it.24.291-299

A. B. Barsky, Dr. Tech. Sciences, Prof., e-mail: arkbarsk@mail.ru, B. V. Zhelenkov, Ph. D., Associate Professor, e-mail: boriszhv@gmail.com, N. A. Shamenkov, Ph. D., Senior Researcher, e-mail: shna810516@mail.ru, The Russian Transport University (RTU (MIIT))

Highly Reliable Control Computer Networks with Neural Network Adaptive Routing Based on Prospective Models of the Elbrus Family

The possibilities of adaptive step-by-step routing of information packets in a virtual centralized computer network of a complex distributed control system for dynamic processes and objects in real time are considered. The application of a logical neural network for such routing ensures maximum bandwidth, reliability, stealth and survivability of the network. Methods are proposed for organizing multi-channel parallel data collection by the head node of a centralized computer network when using the Internet. Recommendations are given on the development of the architecture of the Elbrus family and interfaces with the environment of functioning.
The main recommendations are as follows:

1. It is necessary to continue the established traditions of using hardware control and error correction tools to build protected control computing processes.
2. It is necessary to develop a fleet of high-speed external interface devices with system resources, as well as with telecommunication and global computer networks. You should use the new direction of creating fast web-objects for exchange with the Internet. This direction will lead to the revision and development of standard exchange protocols.
3. Virtualization of the resource implemented in ERC "Elbrus" gave an excellent effect when solving the tasks of parallelization on the readiness of work in the queue "to the processor". She also solved the problem of sliding reservation without additional costs. However, the combination of centralized and decentralized management of computing resources should also be available.
4. Application of network technologies introduces a special vulnerability in the management system of advanced complex control systems. It seems that the typing of data and type control, embodied in the early Elbrus models, can effectively counteract today's rapidly developing threats and attacks. Apparently, the tag architecture, which leads to significant excesses in hardware, is not the only way to implement data typing.
5. It is necessary to develop the principles of hardware support for high-level languages. However, reliance on the stack mechanism of performing procedures in its time did not meet the support of the developer of control systems and is the subject of dispute to date.

6.  The set of functions of the operating system must be reasonably chosen in accordance with the use of computing facilities.
7.  The complete set of models of the Elbrus family should take into account the requirements of standardization and unification. The modular principle of configuration allows the construction of a number of models differing in power and specialization. Modules of actuators must also be composed of variable sets. Their execution on the microprocessor base allows the development and specialization of the command system, as well as the implementation of procedures of limited scope.
Keywords: centralized computer network, permissible virtualization, adaptive routing, logical neural network, web-objects of parallel data collection, Elbrus family

P. 291-299

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