Taming Network Complexity with Digital Twins

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22.01.2024
Digital twins can help manage and troubleshoot complex networks by providing an exact copy of the network's configuration and health, according to experts interviewed by Network Computing.

Digital twins are often associated with manufacturing, where a virtual copy mimics the operation of a complex physical system, such as a jet engine or a machine tool on a production line. But increasingly, businesses, telecoms, and cloud service providers are showing interest in applying the technology to networks.

The implementation of digital twin technology in these singapore mobile database is fueling a perfect storm. First, enterprise and service provider networks are incredibly complex and highly dynamic. At the same time, networks are constantly adopting new technologies and expanding. And users are more demanding than ever before, demanding faster speeds, high availability, rapid problem resolution, and no major disruptions. Network managers also face new cybersecurity and regulatory challenges.

Second, digital twin technology is becoming more accessible, well-accepted, and has reached a new level of maturity. Organizations can easily create detailed digital versions of their networks. And the computing power and sophisticated algorithms required to run digital twins are readily available.

According to LETA Capital, the growing prevalence of digital twins in general and the unification of physical and digital systems have given rise to a new market, the “phydigital” market. According to the venture capital firm’s forecasts, its volume will amount to as much as $216 trillion in 2030.

Networks and Digital Twins: A Natural Pair
The telecoms sector has been an early adopter of digital twins for networks. Many providers are trying to introduce new services (like 5G) and face competition in almost every geographic market they serve. They also have demanding customers who want immediate solutions to any problems and do not tolerate service disruptions. Trying to deliver services and solve these problems comes with the complexity of telecoms networks.