Hyperformix, Inc.

Ca, Inc.

Richard Gimarc

Allan Drew Clarke

Paul T Barnett

Timothy E Wise

James Reynolds

Amy Carolyn Spellmann

Kenneth Zink

Annette Palmer

Theodore Lehr

Daniel M Braddock

Rajinikala Ramachandran

Carolyn West

Tom Zauli

David Leigh DuPré´

James Renyolds

Amy Carolyn Spellman

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 for building enterprise scalability models from production data

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 for building enterprise scalability models from load test and trace test data

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 of semi-automatic data collection, data analysis, and model generation for the performance analysis of enterprise applications

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Austin, TX, United States of America

Richard Gimarc