论文标题
从流中取快照
Taking snapshots from a stream
论文作者
论文摘要
这项工作用于针对观察到的数据流元素的一类概率快照。我们向您展示如何控制其概率属性，并显示一些潜在的应用程序。我们的解决方案可用于存储从观察到的历史记录有限的记忆中的信息。它可用于Web服务器应用程序和临时网络，例如，用于自动从在线视频流中的快照，该快照在线尺寸未知。
This work is devoted to a certain class of probabilistic snapshots for elements of the observed data stream. We show you how one can control their probabilistic properties and we show some potential applications. Our solution can be used to store information from the observed history with limited memory. It can be used for both web server applications and Ad hoc networks and, for example, for automatic taking snapshots from video stream online of unknown size.
