Forecasting Storage Demand in Multi-Tenant Cloud ERP Systems
Accurately forecasting storage demand is a central challenge in multi-tenant, cloud-based Enterprise Resource Planning (ERP) systems, both at the level of individual users of the platform (tenants) and for the platform as a whole. This thesis investigates storage forecasting in a modern cloud ERP system using large-scale, table-level telemetry data. At the tenant level, the thesis addresses the p
