The statistical characteristics of network traffic - in particular the observation that it can exhibit long range dependence - have received considerable attention from the research community over the past few years. In addition, the recent claims that the TCP protocol can generate traffic with long rage dependent behavior has also received much attention. Contrary to the latter claims, this paper shows that the TCP protocol can generate traffic with correlation structures that spans only an analytically predictable finite range of time-scales. The paper identifies and analyzes separately the two mechanisms within TCP that are responsible for this scaling behavior: timeouts and congestion avoidance.
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