Networks Associates Technology, Inc.

Network General Technology

Tauras Liubinskas

Mike Moran

Jack Goral

A system, method and computer program product are provided for network and network application monitoring. Accordingly, one or more media modules are each coupled to an associated network segment. In the case of network application monitoring, each media module is coupled to a network segment on which a network application is running. Each media module monitors and collects data relating to traffic on the associated network segment corresponding to the network application, wherein each media module is tailored for network analysis. An application server module is coupled to the at least one media module and receives the data and analyzes the data for helping to improve the performance of the network and/or network application.

Multi-segment network application monitoring and correlation architecture

A probe apparatus, method and computer program product for application monitoring are provided. A data collection module collects data from a network segment. A flow processor coupled to the data collection module classifies the collected data into a plurality of flows. A capture system coupled to the flow processor filters and buffers the collected data. A main processor processes the filtered data.

Media module apparatus and method for use in a network monitoring environment

A system, method, and computer program product are provided for expert application performance analysis. An application is monitored. Performance data is gathered during the monitoring. A set of metrics is generated based on the performance data. A performance of the application is measured from at least one of a client perspective, a server perspective, and a network perspective using the metrics.

Application performance monitoring expert

A system, method and computer program product are provided for adaptive priority data filtering. Data is collected from a network segment and classified into multiple flows. The flows are prioritized into high and low priority flows. High priority flows are stored in a high priority queue prior to processing, while low priority flows are stored in a low priority queue prior to processing. An amount of data in the high priority flows is monitored. Buffers from the low priority queue are reallocated to the high priority queue if the amount of data in the high priority flows surpasses a predetermined threshold.

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Aurura, IL, United States of America

Tauras Liubinskas