mobile

Recently, I put together a benchmark for general-purpose lossless data compression algorithms (think zilb and LZMA, not HEVC and MP3). While I was doing so it occurred to me that the standard corpora aren't very representative of the type of data people actually use data compression for these days.

To address this I'm putting together a new corpus and I would like to make sure it includes data relevant for mobile developers. Since I have virtually no experience with mobile development I was hoping some of the developers around here could tell me what kind of data they are compressing (or would like to in the future) so I can include something like it in the corpus, especially the differences from desktop usage.

Note that, in addition to developers using benchmarks run against this data to help decide what codec(s) to consider for their project, the data from this corpus will also be used by people writing compression codecs to help tune their algorithms and implementations—in other words, if the corpus includes data which is representative of what mobile apps use it will likely result in better compression (higher ratio, faster, lower memory…) for mobile apps.

I can't post links here yet (this is my first post), but for more details see the project page at <https://github.com/nemequ/squash-corpus>. There is an item in the issue tracker for "Data from a mobile app", but it's pretty vague—that's what I'm here trying to pin down, especially content that doesn't really fit into one of the other issues.