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idealized line for a close to 1, and above the line for a close to 2. Figure 14.3(b) shows similar results for the case in which there is no signi cant limitation in bandwidth (155 Mb=s) leading to zero packet loss. There is noticeably more spread among the estimates, which we believe to be the result of more variability in the traf c patterns since traf c is less constrained by bandwidth limitations. Figure 14.3(c) shows the results when bandwidth is limited, as in the baseline case, but buffer sizes at the switch are increased (64 kB). Again, a roughly linear relationship between the heavy-tailedness of le size distribution (a) and self-similarity of link traf c (H) is observed. To verify that this relationship is not due to speci c characteristics of the TCP Reno protocol, we repeated our baseline simulations using TCP Tahoe and TCP Vegas. The results, shown in Figure 14.4, were essentially the same as in the TCP Reno baseline case, which indicates that speci c differences in implementation of

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nitrogen oxides (Nx Oy ), ozone (O3 ) and other oxidants, sulfur oxides (Sx Oy ), and CO2 . Pollutant concentrations are usually expressed as micrograms per cubic meter ( g/m3 ) or for gaseous pollutants as parts per million (ppm) by volume in which 1 ppm = 1 part pollutant per million parts (106 ) of air.

97. 98. 99.

Fig. 14.4 Hurst parameter estimates for (a) TCP Tahoe and (b) TCP Vegas runs with a 1.05, 1.35, 1.65, 1.95.

Particulate Pollutants. Fine solids or liquid droplets can be suspended in air. Some of the different types of particulates are de ned as follows:

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TCP's ow control between Reno, Tahoe, and Vegas do not signi cantly affect the resulting traf c self-similarity. Figure 14.5 shows the relative le size distribution of client=server interactions over the 10,000 second simulation time interval, organized into le size buckets (or bins). Each le transfer request is weighted by its size in bytes before normalizing to yield the relative frequency. Figure 14.5(a) shows that the Pareto distribution with a 1:05 generates le size requests that are dominated by le sizes above 64 kB. On the other hand, the le sizes for Pareto with a 1:95 (Fig. 14.5(b)) and the exponential distribution (Fig. 14.5(c)) are concentrated on le sizes below 64 kB, and in spite of ne differences, their aggregated behavior (cf. Figure 14.2) is similar with respect to self-similarity. We note that for the exponential distribution and the Pareto distribution with a 1:95, the shape of the relative frequency graph for the weighted case is analogous to the nonweighted (i.e., one that purely re ects the frequency of le size requests) case. However, in the case of Pareto with a 1:05, the shapes are ``reversed'' in the sense that the total number of requests are concentrated on small le sizes even though the few large le transfers end up dominating the 10,000 second simulation run. This is shown in Figure 14.6.

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100. 101. 102.

Dust. Relatively large particles about 100 m in diameter that come directly from substances being used (e.g., coal dust, ash, sawdust, cement dust, grain dust). Fumes. Suspended solids less than 1 m in diameter usually released from metallurgical or chemical processes, (e.g., zinc and lead oxides). Mist. Liquid droplets suspended in air with a diameter less than 2.0 m, (e.g., sulfuric acid mist). Smoke. Solid particles (0.05 1.0 m) resulting from incomplete combustion of fossil fuels. Aerosol. Liquid or solid particles (<1.0 m) suspended in air or in another gas.

(Weighted) file size distribution: Pareto 1.05 (Weighted) file size distribution: Pareto 1.95 (Weighted) file size distribution: exponential

File size bucket (kB)

Natural Pollutants Many pollutants are formed and emitted through natural processes An erupting volcano emits particulate matter as well as gases such as sulfur dioxide, hydrogen sul de, and methane; such clouds may remain airborne for long periods of time Forest and prairie res produce large quantities of pollutants in the form of smoke, unburned hydrocarbons, CO, nitrogen oxides, and ash Dust storms are a common source of particulate matter in many parts of the world, and oceans produce aerosols in the form of salt particles Plants and trees are a major source of hydrocarbons on the planet, and the blue haze that is so familiar over forested mountain areas is mainly from atmospheric reactions with volatile organics produced by the trees Plants also produce pollen and spores, which cause respiratory problems and allergic reactions Anthropogenic Pollutants.

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