Network resource monitoring and measurement system and method
View Patent ↗A method and system for analyzing and measuring multiple sources of data over a communications network ( 18 ) so as to ascertain information or usage of one or more resources, such as resource servers ( 2 ). A data collection and processing means ( 20 ) collects and processes the data sources which are forwarded to a reporting server ( 34 ) as a combined data source made available to interested parties.
1. A system, comprising:
a processor; and
a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions which when executed cause the processor to perform operations comprising:
obtaining site-centric measurement data corresponding to monitored resources, the monitored resources comprising one or more web pages and the site-centric measurement data comprising a first number of accesses to the one or more web pages, wherein the site-centric measurement data:
is collected using embedded measurement code that is embedded in the monitored resources prior to the monitored resource being requested by a user, and
comprises one or more of census data, audit data, or server log files collected via the embedded measurement code;
obtaining user-centric measurement data corresponding to other resources, the other resources comprising one or more web pages and the user-centric measurement data comprising a second number of accesses to the one or more web pages, wherein the user-centric measurement data:
is collected using measurement code that is downloaded with a corresponding other resource, and
comprises one or more of panel data, sample data, or survey data collected via the measurement code;
obtaining a first number of audience members identified in the one or more of panel data, sample data, or survey data;
obtaining a second number of audience members identified in a given population;
determining an estimated traffic level of an unmonitored resource by dividing the second number of audience members by the first number of audience members, and multiplying by the second number of accesses to the one or more web pages identified in the user-centric measurement data;
determining an error rate of the estimated traffic level of the unmonitored resource based on site-centric measurement data;
adjusting the estimated traffic level of the unmonitored resource based on the determined error rate; and
outputting a report comprising the adjusted estimated traffic level of the unmonitored resource.
2. The system of claim 1 , wherein the measurement code is embedded in at least one of the other resources by a proxy server after the at least one of the resources is requested by the user.
3. The system of claim 1 , wherein the measurement code is software or firmware resident on a device of the user prior to the monitored resources being requested by the user.
4. The system of claim 1 , wherein the other resources comprise monitored and unmonitored resources.
5. The system of claim 4 , wherein the monitored resources comprise other measurement code that is separate from the measurement code.
6. The system of claim 1 , wherein the user-centric measurement data includes identification data regarding a user.
7. The system of claim 1 , wherein the monitored resources and the other resources are separate sets of resources and comprise overlapping resources.
8. The system of claim 1 , wherein the measurement code and the embedded measurement code are executable program code.
9. A method, comprising:
obtaining site-centric measurement data corresponding to monitored resources, the monitored resources comprising one or more web pages and the site-centric measurement data comprising a first number of accesses to the one or more web pages, wherein the site-centric measurement data:
is collected using embedded measurement code that is embedded in the monitored resources prior to the monitored resource being requested by a user, and
comprises one or more of census data, audit data, or server log files collected via the embedded measurement code;
obtaining user-centric measurement data corresponding to other resources, the other resources comprising one or more web pages and the user-centric measurement data comprising a second number of accesses to the one or more web pages, wherein the user-centric measurement data:
is collected using measurement code that is downloaded with a corresponding other resource, and
comprises one or more of panel data, sample data, or survey data collected via the measurement code;
obtaining a first number of audience members identified in the one or more of panel data, sample data, or survey data;
obtaining a second number of audience members identified in a given population;
determining an estimated traffic level of an unmonitored resource by dividing the second number of audience members by the first number of audience members, and multiplying by the second number of accesses to the one or more web pages identified in the user-centric measurement data;
determining an error rate of the estimated traffic level of the unmonitored resource based on site-centric measurement data;
adjusting the estimated traffic level of the unmonitored resource based on the determined error rate; and
outputting a report comprising the adjusted estimated traffic level of the unmonitored resource.
10. The method of claim 9 , wherein the measurement code is embedded in at least one of the other resources by a proxy server after the at least one of the resources is requested by the user.
11. The method of claim 9 , wherein the measurement code is software or firmware resident on a device of the user prior to the monitored resources being requested by the user.
12. The method of claim 9 , wherein the other resources comprise monitored and unmonitored resources.
13. The method of claim 12 , wherein the monitored resources comprise other measurement code that is separate from the measurement code.
14. The method of claim 9 , wherein the user-centric measurement data includes identification data regarding a user.
15. The method of claim 9 , wherein the monitored resources and the other resources are separate sets of resources and comprise overlapping resources.
16. The method of claim 9 , wherein the measurement code and the embedded measurement code are executable program code.
17. A non-transitory, computer-readable medium storing instructions that, when executed by one or more processors of a computing system, cause the computing system to perform operations, the operations comprising:
obtaining site-centric measurement data corresponding to monitored resources, the monitored resources comprising one or more web pages and the site-centric measurement data comprising a first number of accesses to the one or more web pages, wherein the site-centric measurement data:
is collected using embedded measurement code that is embedded in the monitored resources prior to the monitored resource being requested by a user, and
comprises one or more of census data, audit data, or server log files collected via the embedded measurement code;
obtaining user-centric measurement data corresponding to other resources, the other resources comprising one or more web pages and the user-centric measurement data comprising a second number of accesses to the one or more web pages, wherein the user-centric measurement data:
is collected using measurement code that is downloaded with a corresponding other resource, and
comprises one or more of panel data, sample data, or survey data collected via the measurement code;
obtaining a first number of audience members identified in the one or more of panel data, sample data, or survey data;
obtaining a second number of audience members identified in a given population;
determining an estimated traffic level of an unmonitored resource by dividing the second number of audience members by the first number of audience members, and multiplying by the second number of accesses to the one or more web pages identified in the user-centric measurement data;
determining an error rate of the estimated traffic level of the unmonitored resource based on site-centric measurement data;
adjusting the estimated traffic level of the unmonitored resource based on the determined error rate; and
outputting a report comprising the adjusted estimated traffic level of the unmonitored resource.
18. The non-transitory, computer-readable medium of claim 17 , wherein the measurement code and the embedded measurement code are executable program code.