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Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices（图）
林肯实验室 图开发 研讨会 网络科学 虚假信息追踪 机器学习
2023/6/21
As the Covid-19 pandemic has shown, we live in a richly connected world, facilitating not only the efficient spread of a virus but also of information and influence. What can we learn by analyzing the...
A discretized version of the self-similar model for internet traffic
Internet traffic model Self-Similar Gaussian process
2010/9/14
The Self-Similar Model for Internet traffic can be considerably improved if it gets combined with the fact that data packets get sent out as quantized quantities instead of continuously, which effecti...
On the multiresolution structure of internet traffic traces
structure internet traffic traces
2010/9/13
Internet traffic exhibits a rich autocorrelation behavior, responsible for curving the Energy/Averaging function. We show that the traffic exhibits variations of its details in many different time sca...
Internet traffic on a network link appears in various degrees of spikiness.We identify the Slow Start feature of the TCP protocol and the heavy-tailed distribution of the session sizes as the major ca...