Risk-driven backbone management during COVID-19 and beyond

What this post added

Introduced a risk-driven backbone management strategy that uses a simulation system to identify potential failures and quantify network risk with metrics around demand loss, availability, and latency stretch. These metrics, derived from failure modeling based on historical data and Bayesian regression, guide operational decisions for capacity deployment and traffic priority management, enabling the backbone to resiliently withstand stress tests and achieve high service availability and low latency.