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Application name Destination computer Duration of conversation Latency for application Network protocol Number of bytes in each direction Number of packets in each direction Source computer These are the application profiles that can be imported into the modeling software Other benefits can be realized, as well, from this data The information can be used to Check latency for applications, for Quality of Service requirements Identify the throughput requirements of particular applications Check to see where your Web traffic is going Learn about which users are using which resources

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In Fig 11, we showed how a complex number can be represented by a vector in the x-y plane Using polar coordinates, we can develop an equivalent polar representation of a complex number We say that z = x + iy is the Cartesian representation of a complex number To write down the polar representation, we begin with the de nition of the polar coordinates (r , ): x = r cos y = r sin (131)

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If you have multiple probes capturing conversations on your network, you will quickly have thousands of captured conversations Since each conversation is entered into a simulation, this glut of conversations (over 30,000) will bog down even the most powerful machines The best way to deal with the large number of conversations is to remove or consolidate them REMOVE DUPLICATE CONVERSATIONS Because you have multiple probes located on the network, there is a good possibility that two probes will capture and record the same conversation When you collect the conversations from all the probes, some conversations will be represented twice if you don't eliminate duplicate traffic conversations Sometimes, the workstations that act as probe managers perform this consolidation for you, preventing traffic from being counted twice If this task isn't being done by the probe manager, you'll have to create a utility that looks at each conversation and compares it against all others When it finds two that have identical attributes, it can delete one of them REDUCE CONVERSATIONS There are two other ways to reduce the number of conversations without significantly reducing the realism of the simulation: by eliminating insignificant conversations, and by consolidating like traffic You can safely eliminate conversations that are too small to have a significant impact on the network traffic For example, you will find that about 40% of your conversations make up less than 1% of the total traffic This is because these conversations have very few packets and very few bytes Eliminating them will greatly increase the speed of the simulations, yet will reduce the realism of the simulation by only a small fraction In traffic consolidation, conversations that have the same source, destination, and application can be lumped into a single conversation All packets and bytes are added in, so no traffic load is lost Typically, you'll also have a time criterion, so you only consolidate conversations that are close together in time Eliminating small conversations and consolidating the remaining ones can reduce your number of conversations by 40% to 70% This allows you to make your simulations more realistic by running them for longer periods of time, or by including more of your network in the model.

Figure 11-3

We have already seen that when we represent a complex number as a vector in the plane the length of that vector is r Hence, carrying forward with the vector analogy, the modulus of z is given by r = x 2 + y 2 = x + iy Using Eq (131), we can write z = x + iy as z = x + iy = r cos + ir sin = r (cos + i sin ) (132)

The alternative is a stream cipher, which takes a single bit at a time and encrypts onthe-fly (Figure 11-4) Stream ciphers are very popular whenever your data comes in long streams (such as with older wireless networks or cell phones)

When CiscoView is first started, it has a rather unassuming, diminutive window It certainly doesn't look like it can do much, but that's because no devices have been loaded CiscoView is waiting to show off, but first you need to connect to a device

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