DEVELOPMENT TENDENCIES OF SELF-HEALING NETWORKS

Authors

DOI:

https://doi.org/10.32689/maup.it.2023.5.3

Keywords:

self-healing, monitoring, automation, computer network, programming, script, reservation.

Abstract

Abstract. The article considers examples of self-healing network performance during failures, describes the stages of development of self-healing networks, defines the main principles and technologies corresponding to the concept of selfhealing. Computer networks are actively changing in scale and complexity of technologies. However, despite the dynamic development of technologies, the conceptual approach to solving problems remains stable. The main trend is that along with the development and automation of the network, tools for its automatic recovery, i.e. self-healing, should appear. The root of automation is the programmable component – scripts, programming languages, technologies that allow programming those things that were not programmable before. For this, protocols, new layer programs capable of influencing stable processes, and new technologies are being created. It is also possible to use proprietary mechanisms from equipment developers. Computer networks are becoming programmable with a single control center. To keep the monitoring system up-to-date and to have a practical benefit, you need to understand the development trends of the networks. A self-healing network is capable of advanced monitoring and corrective tasks that would normally require human intervention. This enables to reduce IT staff costs and allocate human resources more strategically, reducing the number of hours spent on reactive work and focusing more on proactive activities. Although the concept of self-healing began more than 10 years ago, its relevance is gaining momentum against the background of the active transition to SDN networks. Automation of monitoring and maintenance of network performance is an integral component of the further development of computer networks. A self-healing network, which is based on various programming tools, is free from dependence on a specific hardware developer and is universal.

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Published

2024-01-09

How to Cite

КЛИМЕНКО, О. (2024). DEVELOPMENT TENDENCIES OF SELF-HEALING NETWORKS. Information Technology and Society, (5 (11), 21-27. https://doi.org/10.32689/maup.it.2023.5.3