Buckle Up for Bumpier Skies

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早在拉穆迷宫巷道中被骑驴人缠上前,我们就意外撞见了来参加东非文学会议的李双冀教授。这位在英国高校教授比较文学的研究者,因为一本还没翻译成中文的当地小说《蜻蜓海》,而来到拉穆,已对小说中最为重要的场地帕特岛进行过一番实地考察。

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Tetsuya Mizuguchi on how this book shaped his career (DenFamiNicoGamer, 2017)

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There are a couple ways mitigate this drawback, both of which are outside the scope of this article. One is “garbage collection”: pruning tombstones from CRDTs, which prevents you from merging states with any changes made before the tombstones were removed. Another is creating an efficient format to encode the data. You can also combine these methods. Research suggests that this can result in as little as 50% overhead compared to the “plain” data CRDTs: The Hard Parts A talk on the latest research on CRDTs, originally given at the Hydra distributed computing conference on 6 July 2020.References: https://martin.kleppmann.co... youtu.be/x7drE24geUw?t=3587 . If you’d like to skip ahead and see some of this optimization in action, check out the final part in this series: Making CRDTs 98% More Efficient Making CRDTs 98% More Efficient | jakelazaroff.com State-based CRDTs grow monotonically, but that doesn't mean they can't be efficient. We'll learn how to compress the pixel editor state by 98%. jakelazaroff.com/words/making-crdts-98-percent-more-efficient/ . ↩