Let's say you manage 2000 servers in a huge datacenter. You have regularly sampled stats, with uniform methods: aka, they are all sampled the same way across all servers across the full time series This data is a cube of (server X time X measurement type), with a measurement in each cell.
You also have a time series of system failures, a matrix of server X failure class. What algorithm will predict which server will fail next, and when and how? -- Lance Norskog [email protected]
