I have an idea to predict usage of every blocks of one disk, and I found pattern of blocks are related with time. Ex: block index 0~100 have high access times at 00:00, 12:00, and 18:00 and for 10 minutes. other block index 1000~1100 have high access times at 05:00, 14:00, and 20:00 and for 10 minutes.

From above examples, I assume that some blocks have similar pattern, and other blocks have similar pattern...etc

But I have 100,000 blocks, and I can get features like access_times, blk_ID, timestamp(e.g. 00:00~23:59). Is that possible I feed them all into one regression model and predict well? thx