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Us Patents

Method For Building Enterprise Scalability Models From Production Data

US Patent:
7676569, Mar 9, 2010
Filed:
Feb 1, 2006
Appl. No.:
11/345415
Inventors:
Paul T. Barnett - Plano TX, US
Timothy E. Wise - Austin TX, US
Allan Drew Clarke - Austin TX, US
Richard Gimarc - Austin TX, US
James Reynolds - Mt. Desert ME, US
Amy Spellmann - Johnson City TX, US
Assignee:
HyperFormix, Inc. - Austin TX
International Classification:
G06F 15/173
US Classification:
709224
Abstract:
The invention provides a method for preparing a discrete event simulation model of a production network including a client and a plurality of servers on a plurality of network tiers connected by a network comprising the steps of executing a business function from the client on the production network, gathering resource data from the plurality of servers, normalizing the resource data, calculating a consumption of resources used by the plurality of servers, estimating a transaction cost associated with the consumption of resources and building a discrete event simulation model from the transaction cost.

Method Of Semi-Automatic Data Collection, Data Analysis, And Model Generation For The Performance Analysis Of Enterprise Applications

US Patent:
7734775, Jun 8, 2010
Filed:
Oct 26, 2007
Appl. No.:
11/977824
Inventors:
Paul T. Barnett - Plano TX, US
Daniel M. Braddock - Austin TX, US
Allan Drew Clarke - Austin TX, US
Richard Gimarc - Austin TX, US
Theodore F. Lehr - Austin TX, US
Annette Palmer - Austin TX, US
Rajinikala Ramachandran - Austin TX, US
James Reynolds - Mt. Desert MA, US
Amy Carolyn Spellmann - Dripping Springs TX, US
Carolyn West - Austin TX, US
Timothy E. Wise - Austin TX, US
Tom Zauli - Boston MA, US
Kenneth Zink - Austin TX, US
Assignee:
Hyperformix, Inc - Austin TX
International Classification:
G06F 15/173
G06F 11/00
US Classification:
709224, 709223, 714 39, 703 14
Abstract:
A method of semi-automatic data collection, data analysis and model generation for performance analysis of computer networks and software is provided. The invention provides a graphical user interface which indicates the overall data flow in the performance analysis process and guides the user through the proper sequence of steps in that process. Underneath the graphical user interface, the invention provides software tools which include novel data pipeline for transformation of network traces, resource data and application data into organized hash tables, and further into spreadsheets for introduction into computer network simulation programs. The invention also provides novel algorithms for recognizing transaction and parentage between transactions from low level network trace data. The invention further provides novel methods of visualization of trace data and transaction and parentage associations.

Method For Building Enterprise Scalability Models From Load Test And Trace Test Data

US Patent:
7818150, Oct 19, 2010
Filed:
Mar 13, 2006
Appl. No.:
11/374826
Inventors:
Paul T. Barnett - Plano TX, US
Timothy E. Wise - Austin TX, US
Allan Drew Clarke - Austin TX, US
Richard Gimarc - Austin TX, US
James Reynolds - Mt. Desert ME, US
Assignee:
HyPerformix, Inc. - Austin TX
International Classification:
G06F 7/48
US Classification:
703 6
Abstract:
A method is disclosed that preparing a discrete event simulation model of a production network is provided including a client and a plurality of servers connected by a network comprising the steps of initiating a single business function trace test on the production network; gathering network flow trace data from the network; deriving a transaction summary from the network flow trace data; initiating a single business function load test on the production network; gathering resource data from the plurality of servers; normalizing the resource data; gathering web log data from at least one server from the plurality of servers; calculating a number of business functions running on the production network; calculating a consumption of resources used by the plurality of servers; calculating a business function cost associated with the consumption of resources; creating a business function profile from the transaction summary and the business function cost; and building a discrete event simulation model from the business function profile.

Method Of Semi-Automatic Data Collection, Data Analysis, And Model Generation For The Performance Analysis Of Enterprise Applications

US Patent:
7290048, Oct 30, 2007
Filed:
Jan 29, 2003
Appl. No.:
10/354230
Inventors:
Paul T. Barnett - Plano TX, US
Daniel M. Braddock - Austin TX, US
Allan Drew Clarke - Austin TX, US
Richard Gimarc - Austin TX, US
Theodore F. Lehr - Austin TX, US
Annette Palmer - Austin TX, US
Rajinikala Ramachandran - Austin TX, US
James Renyolds - Mt. Desert ME, US
Amy Carolyn Spellman - Dripping Springs TX, US
Carolyn West - Austin TX, US
Timothy E. Wise - Austin TX, US
Tom Zauli - Boston MA, US
Kenneth Zink - Austin TX, US
Assignee:
HyperFormix, Inc. - Austin TX
International Classification:
G06F 15/173
G05B 19/148
G06F 9/46
US Classification:
709223, 709224, 709226
Abstract:
A method of semi-automatic data collection, data analysis and model generation for performance analysis of computer networks and software is provided. The invention provides a graphical user interface which indicates the overall data flow in the performance analysis process and guides the user through the proper sequence of steps in that process. Underneath the graphical user interface, the invention provides software tools which include novel data pipeline for transformation of network traces, resource data and application data into organized hash tables, and further into spreadsheets for introduction into computer network simulation programs. The invention also provides novel algorithms for recognizing transaction and parentage between transactions from low level network trace data. The invention further provides novel methods of visualization of trace data and transaction and parentage associations.

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