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If the network topology is the structure or skeleton of your network, the life-giving blood of any network is the application traffic that courses over links and through routers to its final destination The importance of emulating the network traffic in as much detail as possible cannot be understated Time and available computational power should be the only limiting factors Application traffic can be modeled on two levels: the byte baseline, and based on application profiles BYTE BASELINE Earlier in this chapter, we explained that baselining is the process by which you record the amount of traffic that is on the network over a period of time This information can be obtained from RMON devices such as switches or dedicated devices Since RMON deals only with the lowest layers of the OSI model, however, it cannot provide information about specific applications (this is reserved for RMON-2) All you learn is how many bytes per second have passed over your links or through your devices This level of reporting does give you percentages of utilization for your links, and this information can be quite useful in its own right Without information about network protocols or applications, you cannot discern one program's traffic from another Therefore, byte baselining has limited value for simulations, because you are interested in how individual applications behave on the network Nonetheless, if a point-to-point link is nearing capacity, you don't need to know anything about applications to know that adding more traffic would not work well APPLICATION PROFILES An alternative to byte baselining is to use probes or analyzers that are capable of detecting information from passing packets about the network protocol and the application that generated the packets These probes typically use RMON-2 or their own proprietary methods to gather this information Although the probes are quite good at picking out what network protocol a packet is using (for example, IP, IPX, or AppleTalk), they need to be configured manually to identify Word, Telnet, NetMeeting, and other applications Once this configuration is complete, however, you can identify every traffic conversation on the network Here is some of the data that can be extracted:
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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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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
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