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Eager to know if their model would still be accurate when new/future hard disk models are used, i.e., would their model need to be retrained every time. If so,
by hbogert 10y ago
Eager to know if their model would still be accurate when new/future hard disk models are used, i.e., would their model need to be retrained every time. If so, you would first have to wait until the new disks are old enough to show signs of wear and tear, before the machine learning techniques can say something meaningful.
So in practice I'm afraid this approach gives you only a pretty high confidence intervals for for last generation's harddisks. But companies like Backblaze probably buy the relatively newest type of hardware every new "hardware-season".
- pjmorris 10y agoSeems like this could create a market for manufacturers to publish their test data on new drives.
- zxv 10y agoGood question: will newer firmware continue to behave the same? The backblaze dataset itself covers a certain duration of time. One could model an early portion of the data, and test the prediction for the latter portion. That could be one way to approach the question. One unstated assumption here is: the hard dives in the data set are running the hard drive manufacturer's retail firmware, not another storage vendor's (Dell, HP, EMC, etc) modified firmware. I believe this is the case, and it may also contribute to the consistency.