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Probes are workhorses, diligently collecting data about the network and summarizing the results in tables This information is usually stored on the probe until a management station requests certain pieces of the data When the management station sends a request for information from the probe, it will only ask for specific responses from the probe In this way, the analysis does not consume a tremendous amount of network bandwidth Also, information gathered over a long period of time (days, months) can be retrieved and analyzed in a very directed and specific manner This is the probe's biggest advantage over other management methods The primary disadvantage of a probe is that it must be installed and operational on each network segment you want to monitor This can be quite expensive and very time consuming to set up and administer

Precision and recall are two measures of the effectiveness of an information retrieval system Directory structures are used to classify documents with other similar documents

FUNDAMENTALS O F B U S I N E S S S Y S T E M S ANALYSIS B U S I N E S S DATA COMMUNICATIONS FUNDAMENTALS O F DATABASE

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Decision-support systems Statistical analysis Multidimensional data Measure attributes Dimension attributes Cross-tabulation Data cube Online analytical processing (OLAP) Pivoting Slicing and dicing Rollup and drill down Multidimensional OLAP (MOLAP) Relational OLAP (ROLAP) Hybrid OLAP (HOLAP) Extended aggregation Variance Standard deviation Correlation Regression Ranking functions Rank Dense rank Partition by Windowing Data mining Prediction Associations Classi cation Training data Test data Decision-tree classi ers Partitioning attribute Partitioning condition Purity Gini measure Entropy measure Information gain Information content Information gain ratio Continuous-valued attribute Categorical attribute Binary split Multiway split Over tting Bayesian classi ers Bayes theorem Naive Bayesian classi ers Regression Linear regression Curve tting Association rules Population Support Con dence Large itemsets Other types of associations Clustering Hierarchical clustering Agglomerative clustering Divisive clustering Text mining Data visualization Data warehousing Gathering data Source-driven architecture

In addition to monitoring all sorts of statistics about your network, probes are useful for network baselining A baseline is a measurement of your overall traffic characteristics for instance, usage for a particular time of day With baseline statistics, you can gauge Network performance Network efficiency Network throughput Traffic flow patterns Traffic loads

The McGraw Hill Companies, 2001

Destination-driven architecture Data cleansing Merge purge Householding Warehouse schemas Fact table Dimension tables Star schema Information retrieval systems Keyword search Full text retrieval Term Relevance ranking Term frequency Inverse document frequency Relevance Proximity

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Application response time This data can be quite important in understanding how your network works, and it's crucial that it is determined before major upgrades or redesigning of the network Any good network architect will need baseline statistics before creating any design Also, the numbers can be used to feed simulators, which attempt to predict the network's behavior when given a new condition Simulators are discussed later in the chapter

Stop words Relevance using hyperlinks Site popularity Page rank Hub/authority ranking Similarity-based retrieval Synonyms Homonyms Inverted index False drop False negative False positive Precision Recall Web crawlers Directories Classi cation hierarchy

There is another goal in relational-database design: dependency preservation When an update is made to the database, the system should be able to check that the update will not create an illegal relation that is, one that does not satisfy all the given

stable than the CrsDesc column Course descriptions may change over time, but course numbers remain the same CREATE TABLE Course (

The McGraw Hill Companies, 2001

Larger networks often have many hundreds of network segments, and it will be impractical to place a probe on every segment Therefore, determining the best possible locations for probes is very important To maximize traffic capture and minimize probe count, probes should be placed on network segments that are either sources or sinks of information flow A sink of information is a segment with many servers on it A sink is a target for client connections, whereas a source is a client initiating the communication It's usually easier to target a LAN segment that's full of servers than it is a segment with all users, because users are scattered throughout an organization Although the probe market has been traditionally dominated by UNIX probes and UNIX management software, there are a large number of new offerings now ported to NT Table 10-2 lists probes that work with various Windows NT management applications, including HP's newly ported OpenView product called Network Node Manager Later in the chapter we'll show you how you can set up a Cisco switch to act as a probe a very cost-effective way to increase the number of available probes on your network Table 10-2: Network Probe Vendors and Products

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