Phase Effects and telnet traffic

Phase Effects and telnet traffic

Wecanalsointroduceanti-phase-effectrandomizationbymakinguseofthens-2telnetapplicationtogenerate low-to-moderate levels of random traffic. This requires an additional two Agent/TCP objects, representing A–D and B–D telnet connections, to carry the traffic; this telnet traffic will then introduce slight delays in the corresponding bulk (ftp) traffic. The size of the telnet packets sent is determined by the TCP agents’ usual packetSize_ attribute. For each telnet connection we create an Application/Telnet object and set its attribute interval_; in the script fragment below this is set to tninterval. This represents the average packet spacing in seconds; transmissions are then scheduled according to an exponential random distribution with interval_ as its mean. We remark that “real” telnet terminal-login traffic seldom if ever follows an exponential random distribution, though this is not necessarily a concern as there are other common traffic patterns (eg web traffic or database traffic) that fit this model better. Actual (simulated) transmissions, however, are also constrained by the telnet connection’s sliding window.

Itisquitepossiblethatthetelnetapplicationreleasesanewpacketfortransmission,butitcannotyetbesent because the telnet TCP connection’s sliding window is momentarily frozen, waiting for the next ACK. If the telnet packets encounter congestion and the interval_ is small enough then the sender may have a backlog of telnet packets in its outbound queue that are waiting for the sliding window to advance enough to permit their departure.

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