Riverbed Technology, Inc.

Other

Jerome Plun

Patrick J Malloy

Alain J Cohen

Alex Chernyakov

Seth Martin

John Wilson Strohm

Yevgeny Gurevich

Marc I Schneider

Mahesh Lavannis

Sukanya Sreshta

Stephen Pendleton

Individual network activities are correlated to interactions with a target web page to facilitate an analysis of the performance of the web page. This correlation is preferably performed using a combination of heuristics and rules developed to filter network activities into those activities that are likely to have been caused by the particular transaction, and those that are unlikely to be associated with that transaction. The activities that are identified as being associated with the transaction are subsequently organized to identify a time-flow of these activities within the transaction, from which performance statistics can be determined and presented to a user. Because the individual activities within the transaction are identified and time-ordered, an analysis of the effects of each activity on the overall performance of the web page can be performed to identify potential problem areas, or to diagnose reported problems.

Web transaction analysis

Performance metrics related to the processing and propagation of messages related to select applications are collected during a simulation of a network. Each message associated with an application is tagged, and each simulated packet that contains some or all of a tagged message is correspondingly tagged to facilitate the creation of transmit records and receive records. A post processor is configured to collate transmit and receive records of each tagged message to identify delays associated with each node that processes the message, and each link that propagates the message from node to node within the network. The processed timing information is provided to the user via an interactive user interface that allows the user to view the timing information from an application layer perspective.

Tracking, analyzing, and visualizing application delay

A simulation system includes a cache structure that stores determined characteristics related to the propagation of an event. If a similar event occurs, and the factors affecting the determination of these characteristics have not changed, the characteristics associated with the new event are retrieved from the cache, rather than being re-determined from the underlying factors. In the example of mobile transceivers, if multiple transceivers share a common set of underlying factors, the determined characteristics of one transceiver can be shared among all of the other transceivers. If the underlying factors are dependent upon geographic area, mobile transceivers that enter a geographic area having associated cached characteristics can use the cached characteristics of other transceivers that are, or had been, in the area. Because the cache process is structured to intercept a call to the routine that determines the characteristics, the modifications to a simulation system to incorporate this caching feature should be minimal.

Wireless link simulation with generic caching

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Alexandria, VA, United States of America

Jerome Plun