This paper had a lot of data in it. Most of the paper was about how the data was collected and explaining the data. They collected it over several servers connecting MIT and Korea AI labs. One interesting thing is that the traces they collected didn't include the cached queries, so even though they said that it there were 23% DNS that were unanswered, it doesn't include the cached entries, which might have also accounted for a bulk of the queries.
After the analysis, the paper attempts to observe the effects of caching and adjusting the TTL to the network. Intuitively it seems like the longer the TTL, the better, since there will be less requests and most caught by caching. The paper concluded that the decreasing TTL didn't effect performance, but i thought their data that was collected from before was no including cached requests, so it's weird that they can make this claim. Caching does allow better load balancing as well, because all the requests don't need to consistently go to the same server over the wide area network.
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