WAN Capacity Forecasting for Large Enterprises
Abstract
This paper presents the framework for capacity forecast of a large enterprise to
enable accurate and reliable prediction of WAN requirements for all enterprise
offices. Quarterly forecasts are generated for individual offices in an
enterprise network using historical bandwidth utilization for the offices and
their associated usage headcount. This framework is currently used to inform WAN
circuit upgrade/downgrade decision for more than 80 offices, and more than 200
associated circuits. The framework uses statistical regression models to create
6, 12, and 24 months forecast for each office, and rigorously evaluates the
forecast accuracy with real data.
Research Areas
