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• Содержание выпуска • • Mathematical Modelling • • Mathematical Foundations of Programming • • Supercomputing Software and Hardware • • Software and Hardware for Distributed Systems and Supercomputers • • Artificial Intelligence, Intelligence Systems, Neural Networks •
Software and Hardware for Distributed Systems and Supercomputers
Responsible for the Section: Sergei Abramov, Dr. Phys.-Math.Sci.,
corresponding member of RAS
On the left: assigned number of the paper, submission date, the number
of A5 pages contained in the paper,
and the reference to the full-text PDF
.
Article # 15_2020
47
p.
PDF |
submitted on 06th
Dec 2019 displayed on
website on 27th Aug
2020 Yuriy S. Zatuliveter, Elena A.
Fishchenko
Towards computer-network architectures for
the digital transformation of large-scale systems
Based on the mathematical generalization of the
classical model of the universal computer by
J. von Neumann, the article proposes a new approach to
eliminating the causes of reproduction of heterogeneity of
hardware, software, and information resources
in the global computer environment (GCE). The generalized
model allows seamlessly extending the property of universal
programmability from internal computers’
resources to arbitrarily large networks. The hardware
implementation of "heavy" system functions performed
programmatically within operating systems
cardinally increase cybersecurity. Analysis of trends in the
development of large distributed systems has shown that
existing technologies for functional
integration of heterogeneous GCE resources (Grid, Cloud,
peer-to-peer networks) have come close to the
limits of their ability to increase the scale
of such systems. Further increase in their size requires
unacceptable costs to overcome extreme
heterogeneity and ensure cybersecurity. The reasons for the
heterogeneity of GCE are fundamental. They are hidden in the
logic of the von Neumann bases of
microprocessor architectures. TCP/IP network protocols
legalize heterogeneity on a global scale and heuristic
methods for integrating heterogeneous
resources. The starting principles of GCE formation were not
intended for a systemic-holistic solution to the problems of
creating arbitrarily large distributed
systems in GCE. The proposed model opens up opportunities for
implementing a mathematically homogeneous, universal,
seamless programmable, and cybersecurity
algorithmic space for distributed computing in the GCE. With
the elimination of heterogeneity at the level of mass
applications, the cost of creating/developing
the entire diversity of arbitrarily large distributed systems is
cardinally reduced. (in Russian)
Key words: global computer environment, large-scale systems,
digital transformation, heterogeneity,
integration of network resources, tree-like structure calculus,
distributed computing model, seamless
programming, non-microprocessor architecture, cybersecurity,
universal algorithmic space of distributed
computing. |
article citation |
http://psta.psiras.ru/read/psta2020_3_85-131.pdf |
DOI |
https://doi.org/10.25209/2079-3316-2020-11-3-85-131 |
• Содержание выпуска • • Mathematical Modelling • • Mathematical Foundations of Programming • • Supercomputing Software and Hardware • • Software and Hardware for Distributed Systems and Supercomputers • • Artificial Intelligence, Intelligence Systems, Neural Networks •
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