Jerome Y Plun

8635334, Jan 21, 2014

Dec 8, 2010

12/963481

Patrick J. Malloy - Washington DC, US
Seth Martin - Washington DC, US
Alex Chernyakov - Bethesda MD, US
Jerome Plun - Alexandria VA, US

Riverbed Technology, Inc. - San Francisco CA

G06F 15/173

709224, 709223, 709217

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.

20050047440, Mar 3, 2005

Aug 9, 2004

10/914602

Jerome Plun - Alexandria VA, US
Alexey Shakula - Reston VA, US

H04J003/24

370474000, 370389000

A system and method for modeling the replication of a packet uses a header that contains unique information relative to the replicated packet, and a pointer to the information that is common to the original packet. At each level of the protocol hierarchy, and particularly at the transmission layer, the unique information is contained in the header information that is added at that level, while the common information is the information in the protocol stack created prior to the appending of this header information. Only network elements that traverse and modify the contents of the prior protocol headers are fully instantiated, and thus the resources required for replicating packets is substantially reduced.

20050048964, Mar 3, 2005

Apr 9, 2004

10/821558

Alain Cohen - Washington DC, US
Jerome Plun - Alexandria VA, US
Yevgeny Gurevich - Washington DC, US

H04Q007/20

455423000

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.

20060190231, Aug 24, 2006

Feb 21, 2006

11/358538

Patrick Malloy - Washington DC, US
Mahesh Lavannis - Rockville MD, US
Marc Schneider - Arlington VA, US
John Strohm - Bethesda MD, US
Alain Cohen - Washington DC, US
Sukanya Sreshta - Rockville MD, US
Jerome Plun - Alexandria VA, US
Stephen Pendleton - Washington DC, US

G06F 17/50

703014000

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.

20070043547, Feb 22, 2007

Aug 18, 2006

11/506650

Jerome Plun - Alexandria VA, US
Alexey Shakula - Reston VA, US
Sukanya Sreshta - Rockville MD, US

G06F 17/50

703013000, 715853000

Generating a user interface for debugging a network simulation based on modeled network behavior by providing a user interface (UI) to depict both of a high level element and a low level element based on the simulation. The high level element may be presented in a hierarchical view representing a hierarchy of elements. The hierarchical view may be provided in a tree-view based on one of a topology or taxonomy of elements within the simulated network or the hierarchy of elements may be based on a simulation hierarchy of elements within the simulated network. An invoking element may be depicted higher in the hierarchical view than an element invoked by the invoking element. Both high and low level commands may be issued from an integrated command line.

20140122712, May 1, 2014

Jan 7, 2014

14/149124

Patrick J. MALLOY - Washington DC, US
Seth Martin - Washington DC, US
Alex Chernyakov - Bethesda MD, US
Jerome Plun - Alexandria VA, US

Riverbed Technology, Inc. - San Francisco CA

H04L 12/26

709224

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.