Capacity Analysis Using Closed-System Modules

摘要

A capacity-analysis tool (CAT) provides a model framework for creating a model of a capacity-planning-target (CPT) system, e.g., a data center. The tool includes a model framework that, in turn, includes a closed-system template for creating CSMs, i.e., models of capacity-limited systems. A user uses the CAT to create CPT models using the CSMs as building blocks. A machine-learning engine is used to train the CPT model, converting parameter time-series data to functions of time. The trained CPT models are then used to make capacity-planning estimates, e.g., time remaining on a system before usage matches capacity. The CAT makes it easy to extend a model, e.g., by adding new dimensions (new factors of interest) in the form of new CSMs to which the new dimensions have been assigned.

主权项

1. A process comprising:
for a capacity-planning target (CPT) system, creating a CPT model of the CPT system, the creating including creating plural closed-system models (CSMs), wherein each CSM is assigned a respective dimension and plural parameters for that dimension, at least one of the parameters being a capacity parameter, at least one of the parameters being a usage parameter or a demand parameter, at least one of the parameters corresponding to a respective time series of datapoints; training the CPT model using a machine-learning engine to convert the time-series to a respective function of time, the function of time thereby becoming part of the trained CPT model; and making, using the trained CPT model, capacity-analysis estimates based at least in part on the function of time.