Sniffer Adaptive Application Analyzer: Adaptive Mode ... - NetScout

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Objects Tab EARLY FIELD TRIAL Chapter 9 226 Sniffer Adaptive Application Analyzer During analysis, the Expert constructs a database of network objects from the traffic it sees and categorizes network problems according to the Expert layer at which they occur. The Expert’s network layering structure is similar to the OSI model. However, the two schemes do not always map on a one-to-one basis.) Figure 9-4. Objects Tab Configure the following object settings. Analyze on page 227 Max. Objects on page 227 Max. Objects on page 227 Recycle Expert Objects on page 227 Alarm Maximum on page 228 Data Update Rate on page 228
EARLY FIELD TRIAL Analyze Expert Analysis In addition to using capture filters, which let you select the particular traffic you need for network analysis, you can exclude certain Expert layers from processing. This enables you to focus on specific network problems precisely. IMPORTANT: Keep in mind that if you exclude a certain layer from Expert processing, you are also automatically excluding Expert processing from occurring at any layers above the excluded layer. For example, if you exclude the Connection layer from Expert processing, no Expert analysis will occur at the Session, Application, or Service layers. Expert requires the analysis provided at the supporting layers to provide analysis for higher layers. Max. Objects To reduce the amount of memory needed to create network objects, you can specify the maximum number of objects that the Expert can create for each Expert layer. To help with configuration, the Expert shows the estimated amount of memory needed for the number of objects selected for each layer. When the maximum number is reached, Expert will recycle old objects (if the Recycle Expert Objects options is selected) or stop creating new objects. The range for this option is 0 to 99999. Est. Memory The Est. Memory column to the right of Max Objects shows the estimated amount of memory needed to process the number of objects specified in the Max Objects column for each Expert layer. The total estimated amount of memory needed to process all selected objects is shown under the grid. Recycle Expert Objects The Experts’ database of network objects is built from information accumulated in the capture buffer. Because some networks can be immensely complex in their structure, at some point the Expert will have no more memory for new network objects. If you recycle objects, the Expert continues to add new objects to the database, overwriting the least interesting objects when it runs out of memory (in general, older objects with no associated errors are considered “least interesting”). If you don’t recycle objects, the Expert stops creating new objects when it runs out of memory, and instead, continues to interpret traffic in accordance with the information it has already stored in its database. User’s Guide 227
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