Method for performance monitoring and modeling
View Patent ↗The present invention provides a method for modeling the performance of a system comprising computer software operating on computer hardware. In accordance with the present invention, system performance is modeled by fitting non-linear curves to data points for system performance parameters, such as response time and throughput, as a function of load. Data points may be measured in testing may be measured through monitoring a system operating in a production environment. While a variety of non-linear curves may be used in accordance with the present invention, a logarithmic curve may be used to model system throughput and an exponential curve may be used to model system response time. By defining a relationship between throughput and response time a distance may be calculated between the curves, and this distance may be used to determine an optimal load. Additionally, a graph displaying both throughput and response time as a function of load may be displayed to a system operator in a graphical user interface to facilitate the evaluation of system performance.
1. A method for monitoring system performance, the method comprising:
defining system metrics for a system to be monitored;
measuring the defined system metrics using computer software operating on the system to be monitored wherein measuring the defined system metrics further comprises measuring at predetermined intervals the defined system metrics using computer software operating on the system to be monitored;
reporting the measured system metrics from the software operating on the system to be monitored to a central processing hub;
storing the measured system metrics to a database at the central processing hub; and
identifying correlations between different measured system metrics stored in the database.
2. A method for monitoring system performance, the method comprising:
defining system metrics for a system to be monitored;
measuring the defined system metrics using computer software operating on the system to be monitored;
reporting the measured system metrics from the software operating on the system to be monitored to a central processing hub wherein reporting the measured system metrics further comprises reporting at predetermined intervals the measured system metrics from the software operating on the system to be monitored to a central processing hub;
storing the measured system metrics to a database at the central processing hub; and
identifying correlations between different measured system metrics stored in the database.
3. At least one computer readable media having embodied thereon computer readable instructions for causing at least one computer to perform a method for monitoring system performance, the method comprising:
receiving definitions of system metrics for a system to be monitored;
measuring the defined system metrics using computer software operating on the system to be monitored wherein measuring the defined system metrics further comprises measuring at predetermined intervals the defined system metrics using computer software operating on the system to be monitored;
reporting the measured system metrics from the software operating on the system to be monitored to a central processing hub;
storing the measured system metrics to a database at the central processing hub; and
identifying correlations between different measured system metrics stored in the database.
4. At least one computer readable media having embodied thereon computer readable instructions for causing at least one computer to perform a method for monitoring system performance, the method comprising:
receiving definitions of system metrics for a system to be monitored;
measuring the defined system metrics using computer software operating on the system to be monitored;
reporting the measured system metrics from the software operating on the system to be monitored to a central processing hub wherein reporting the measured system metrics further comprises reporting at predetermined intervals the measured system metrics from the software operating on the system to be monitored to a central processing hub;
storing the measured system metrics to a database at the central processing hub; and
identifying correlations between different measured system metrics stored in the database.