Automated data collection and analysis

Abstract

Techniques are provided for automated data collection and analysis, including steps of receiving a request for information about a device; constructing a command set, wherein the command set is a set of executable commands that indicate collection of data from the device and zero or more other devices; sending the command set to the device; receiving analysis results from an analysis engine, wherein the analysis results are based at least in part on a set of results received from the device and produced by executing the command set; and determining a set of solutions based on the analysis results. Techniques are also provided for automated data collection and analysis, including the steps of sending a request for information about a device; receiving a command set in response to the request, wherein the command set is a set of executable commands that indicate collection of data from the device and zero or more other devices; executing the command set; generating a result set based on the execution of the command set; sending the result set to an analysis engine as part of a second request for analysis of the result set; and receiving a solution to one or more problems discovered at least in part by the analysis engine.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS [0001] This application claims benefit as a divisional of U.S. patent application Ser. No. 10 / 791,568, entitled “AUTOMATED DATA COLLECTION AND ANALYSIS”, filed by John Baekelmans et al. on Mar. 1, 2004, the entire contents of which is hereby incorporated by reference for all purposes as if fully set forth herein. [0002] This application is related to U.S. patent application Ser. No. 10 / 714,158, filed Nov. 13, 2003, entitled “Rule-Based Network Management Approaches”, of Keith Sinclair, et al., Attorney Docket No. 50325-0811 (“Sinclair”), the entire contents of which is hereby incorporated by reference for all purposes as if fully set forth herein.FIELD OF THE INVENTION [0003] The present invention generally relates to troubleshooting a computing device. The invention relates more specifically to automated data collection and analysis. BACKGROUND OF THE INVENTION [0004] The approaches described in this section could be pursued, but are not nece...

AI Technical Summary

Benefits of technology

"The present invention is about a system and method for automated data collection and analysis. The technical effects of this invention include the ability to collect accurate data from network elements without the need for a customer service engineer (CSE) to connect to the device, the use of end user expertise in connecting to and collecting data from the device, the ability to collect data at precise intervals, and the use of collective knowledge of the entire team of CSEs and other experts. The invention also avoids the need for a CSE to use personal knowledge to solve problems with the device. Overall, the invention provides a solution that does not require a CSE to connect to a device, does not require end user expertise in connecting to and collecting data from the device, does not require diligence and expertise in collecting data at precise intervals, and does not constrain the solution of device problems to the knowledge and available time of a particular CSE."

Problems solved by technology

The difficulty in troubleshooting network elements such as routers, switches, computers, and other electronic devices is exacerbated by the difficulty in obtaining accurate data from the devices when they are installed in customer or end user networks or systems.

A problem with this approach is that it is often difficult or impossible for a CSE to connect to the device.

A problem with this approach, however, is that it requires the end user to have expertise in connecting to the device and collecting data from the device.

Another problem with this approach is that data will often need to be collected over a period of time or from multiple devices simultaneously, and end users will need great diligence and expertise in order to collect the data at the precise intervals needed.

Yet another problem with this approach is that the end user may not have the expertise to collect the correct data.

Without the correct data the problems with the devices cannot be solved.

Another problem with both approaches is that the CSE uses personal knowledge to detect problems with the device based on the collected data.

The problem with the use of personal knowledge to solve the problems is that the process takes too much time and does not utilize the collective knowledge of the entire team of CSEs and other experts.

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