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This \nproperty of TCP is due to its congestion control algorithm, \nwhich adapts to self-similar fluctuations on several timescales. \nThe mechanisms and limitations of this propagation are \ninvestigated, and it is demonstrated that if a TCP connection \nshares a bottleneck link with a self-similar background traffic \nflow, it propagates the correlation structure of the background \ntraffic flow above a characteristic timescale. The cut-off \ntimescale depends on the end-to-end path properties, e.g., \nround-trip time and average window size. It is also demonstrated \nthat even short TCP connections can propagate long-range \ncorrelations effectively. Our analysis reveals that, if \ncongestion periods in a connection's hops are long-range \ndependent, then the end-user perceived end-to-end traffic is \nalso long-range dependent and it is characterized by the largest \nHurst exponent. Furthermore, it is shown that self-similarity of \none! TCP stream can be passed on to other TCP streams that it is \nmultiplexed with. These mechanisms complement the widespread \nscaling phenomena reported in a number of recent papers. 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