网络中的损失波动和时间相关性
Loss Fluctuations and Temporal Correlations in Network Queues
摘要：
我们认为数据丢失在一个单一的节点的一个分组交换的类互联网网络。我们采用两种不同的模型，一个离散和其他连续的一维随机游走，表示在路由器中的队列的状态。这两种模型{有}一个内置的关键行为与{急剧}过渡从指数小到有限的损失。事实证明，缓冲区的有限容量和丢包过程会产生特定的边界条件，即使在数据到达过程中没有这种波动的情况下，这些边界条件也会导致临界点处的丢失率波动。
英文摘要：
We consider data losses in a single node of a packet-switched Internet-like network. We employ two distinct models, one with discrete and the other with continuous one-dimensional random walks, representing the state of a queue in a router. Both models {have} a built-in critical behavior with {a sharp} transition from exponentially small to finite losses. It turns out that the finite capacity of a buffer and the packet-dropping procedure give rise to specific boundary conditions which lead to strong loss rate fluctuations at the critical point even in the absence of such fluctuations in the data arrival process.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
