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Here s a brief discussion of network parameters and some general guidelines for how they affect network retransmissions:

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By default, TCP won t send a second small, initial packet over a socket connection until the first one is acknowledged. This behavior, known as the Nagle algorithm, prevents a sender from overwhelming an already busy receiver; however, on slow networks it tends to make performance worse. Turn the Nagle algorithm off by setting the no slowstart option on the socket in your application code, particularly if your application sends a series of small packets. You may want to set the TCP option to send more than one initial segment over a TCP connection, ensuring that PC clients get enough data to start the bidirectional flow over the socket. Some TCP/IP stacks won t start returning data until they see a full TCP segment arrive. The TCP option for this is set in the operating system; in Solaris it is called tcp_send_initial. The default timeouts used by TCP to determine when to retransmit a segment are also tunable. In the example in Figure 13.2, this timeout controls the window between times t0 and t1. There are usually two parameters, also set in the OS, that control the initial timeout and the smallest value for the timeout. They may be set as low as 100 milliseconds, which is simply too short for applications that have clients connecting via America Online or other large ISPs. Consider cranking the initial and minimum timeouts up to 500 milliseconds. The parameters in Solaris are: tcp_rexmit_interval_min tcp_rexmit _interval_initial





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Fig. 15.12 Fit of source- and application-speci c (HTTP) interarrival times over a one hour period of the external AT&T dataset from 16 to 31 March 1996. (a) The arrivals versus the source. (b) The empirical and the tted cumulative distributions of sources 1 and 8.

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Within the models for the 12 hour time period a clear periodicity is recognizable, a periodicity that has also been observed within other datasets. During the rst half of a day the Pareto and lognormal models give a better t than the exponential one, while the situation is reversed for the second half of the day. An explanation for this is that during night hours many fewer actions are initiated and, as such, the number of long interarrival times is larger, thus explaining why the heavy-tailed Pareto distribution yields a better t than the exponential distribution. The Weibull distribution yields an even better t than either the Pareto or the exponential one. We also consider the interarrival time distribution of all HTTP connections over all 1204 possible one hour time periods that contain suf cient observations. The Weibull models are statistically better than the Pareto models in 92.9% of the instances, better than the exponential models in 92.3% of the instances, and better than the lognormal in 94.5% of the instances. In only 0.7% of the instances is the Pareto model better than the Weibull one and in only 0.2% is the exponential model better than the Weibull model. (Even though the Weibull model contains the

That completes the list of external failures that may impact application reliability. To be thorough in our discussion of application operations, though, we need to take a brief look at ways in which applications fail through nobody s fault but their own.

^ Fig. 15.13 (a) Con dence intervals for l2 for the tted Weibull, lognormal, exponential, and Pareto model of TELNET interarrival times within each 12 hour time frame for the 29 30 June 1995 dataset. (b) Histogram of Weibull shape parameter c of the tted Weibull distributions for the HTTP application for one hour time periods for the external AT&T dataset from 16 to 30 March. (c) Histogram of Weibull shape parameter c of the tted Weibull distributions for the applications TELNET, X, FTP, HTTP, RFS, SMTP, and FINGER and two hour time periods for all CMU datasets.

Probably the most common cause of application-level failures is improper memory accesses. The usual suspects include array indices that go past the end of the structure, use of a null pointer,1 using an uninitialized piece of

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