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/ . ↩
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Москвичей предупредили о резком похолодании09:45,更多细节参见体育直播
展开 Razr Fold,8.1 英寸内屏拥有 2K 分辨率,120Hz 刷新率,且峰值亮度直接飙到 6200 nit,1080P 165Hz 的外屏在亮度数据上也几乎持平,达到了 6000 nit。作为参考,标榜顶级的 Pixel 10 Pro Fold 屏幕亮度也不过 3000 nit。
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