Invention Grant
- Patent Title: Predicting performance by analytically solving a queueing network model
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Application No.: US14542639Application Date: 2014-11-16
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Publication No.: US10044786B2Publication Date: 2018-08-07
- Inventor: Jonathan Dunne , James P. Galvin, Jr. , Shadi Ghaith , Patrick J. O'Sullivan , Hitham Ahmed Assem Aly Salama
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: VanLeeuwen & VanLeeuwen
- Agent Anthony V. S. England
- Main IPC: G06F15/173
- IPC: G06F15/173 ; H04L29/08 ; H04L12/24

Abstract:
An approach is provided for predicting system performance. The approach operates by identifying a Queuing Network Model (QNM) corresponding to an information technology (IT) environment that includes a number of servers that perform a plurality of parallel services. The QNM is transformed to a linear model by serializing the parallel services as sequential services. Hardware based service demands are retrieved from the system. Software-based service demands are inferred from the hardware-based service demands. Predicted performance results of the IT environment are calculated based on the hardware-based service demands, the software-based service demands inferred from the hardware-based service demands, and the system transaction rate of the system.
Public/Granted literature
- US20160142271A1 Predicting Performance by Analytically Solving a Queueing Network Model Public/Granted day:2016-05-19
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