Computing Power Network (CPN)

This article discusses the concept of the Computing Power Network (CPN), a new paradigm of distributed computing designed to distribute, manage and optimally use computing resources on demand by users, similar to the distribution of electrical energy in power systems.

The relevance of the study is due to the fact that with the development of the digital society, more and more applications require not only high computing power, but also low latency, which makes computing and communication networks tightly integrated. In contrast to cloud, edge and fog computing technologies, a new paradigm for organizing geographically distributed computing is required that can provide more flexible, efficient and high-quality provision of computing power on demand by users to support a variety of promising applications (artificial intelligence / machine learning, big data analysis, industrial Internet of Things, smart manufacturing, unmanned transport, etc.). By analogy with the distribution of electrical energy in power systems, a new model for distributing computing resources was recently proposed - CPN. It provides computing power as "computing energy" that can be transmitted, accumulated and consumed in a distributed network of nodes - similar to how electrical energy is distributed between generators, substations and consumers in power grids.

The aim of this study is to study the architectural and functional features of computing power networks, as well as to analyze the current state of international standardization of this technology.

Methods include analysis of scientific and regulatory literature, assessment of the state of the level of international standardization of computing power network technologies.

Results. The study analyzed the general principles of construction, structure and functional architecture of the computing power network, and determined that the full functioning of CPN requires a developed network infrastructure, primarily based on software-defined network technologies SDN and network management platforms using artificial intelligence.

Scientific novelty. The study is the first attempt to conduct a system analysis of the computing power network concept in the context of Russian-language scientific literature. The work fills the existing gap in domestic science, offering a comprehensive view of the possibilities of building and operating a network of computing power using technologies of existing and prospective communication networks.

The theoretical significance of the work lies in creating a basis for studying and integrating prospective fixed and mobile 5G / 6G communication networks with cloud and edge computing to implement the concept of a network of computing power.

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