Hi math help forums
I've been tasked with helping to figure out what kind of prediction algorithm I could make to figure out when I needed to buy new servers from a database of information on server load.
I drew this picture
And attached it. Basically the same pattern of server load occurs every year with some variations.
What do people use to predict stocks? What does UPS use to predict the number of people needed to deliver packages every Christmas?
Right now I'm reading up on moving averages, and another intern is working on learning machine language. Is there a better approach?
Would any regression model be good enough to fit our information to predict things?
The inputs would be things like when we added new servers, new clients, how many clients were added, and how many logins occurred on our servers on every date, and of course historical data on CPU load going back a few years.