"Our results show that testing computer networks with automatically generated digital twins can achieve high accuracy and significantly faster speeds than traditional simulator-based testing."
"We're demonstrating a very promising alternative to manual and time-consuming testing that also relies heavily on professional expertise."
Researchers at the University of Glasgow developed a testing method using automatically generated digital twins, achieving speeds 25,000 times faster than traditional approaches. The method tested complex networks with various traffic types, taking only 4.78 seconds compared to 33 hours for traditional simulators. This approach is scalable and cost-effective, addressing the growing demands of internet traffic. Automated machine learning was utilized to create the digital twin, allowing non-experts to conduct tests with high accuracy and efficiency.
Read at ComputerWeekly.com
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