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The large datasets from 2007 to 2020 cover a variety of workload patterns. If you have a workload that you would like to try out, our code and data are all open
by 1a1a11a 3y ago
The large datasets from 2007 to 2020 cover a variety of workload patterns. If you have a workload that you would like to try out, our code and data are all open-sourced. Also feel free to drop us an email :)
- 1a1a11a 3y agoBTW, the 1% queue in LIRS makes it similar to W-TinyLFU (but less robust than W-TinyLFU)
- NovaX 3y agoYou have a large corpus of similar workload patterns. Simply using a 750GB trace or many samples from a cluster of machines doing the same work does not make it a meaningful variety. It would be reasonable to have also tested with the traces that your comparison algorithms used, which shows your implementations are valid and how they differ on those authors terms. Skipping that may come across as cherry-picking because I find that QDLP under performs by -20% in zigzag, -15% in DS1, -33% in blockchain mining. Your algorithm is good in specific cases, like many others are, but there are many real workloads where it is not usable.