Dynamic data collection pattern for target device

• US 10,042,732 B2
• Filed: 08/17/2015
• Issued: 08/07/2018
• Est. Priority Date: 08/17/2015
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Wu, Yi-Lei, Koscumb, Matthew, McMurray, Scott, Grossman, Molly
• Primary Examiner(s): Dao, Tuan
• Assistant Examiner(s): Wood, William C
• Application Number:
  US14/828,222
• Publication Number:
  US 20170052831A1
• Time in Patent Office: 1,086 Days
• Field of Search: None
• CPC Class Codes: G06F 11/302 where the computing system component is a software system
• CPC Class Codes: G06F 11/3093 Configuration details thereof, e.g. installation, enabling, spatial arrangement of the probes
• CPC Class Codes: G06F 11/34 Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence
• CPC Class Codes: G06F 9/5083 Techniques for rebalancing the load in a distributed system

Abstract

A telemetry module integrated with an application may include a data collection and analysis engine configured to implement a data collection pattern comprised of data collection rules to perform data collection and analysis for reporting to a service associated with the application. The telemetry module may also include a scaling profile manager configured to dynamically scale the data collection and analysis performed by the data collection and analysis engine for a target device such that parameters of the data collection and analysis correspond to resources and capabilities of the target device. After scaling, the data collection and analysis engine may then be further configured to determine additional data collection rules based on the scaled data collection and analysis, and dynamically modify the data collection pattern implemented based on the additional data collection rules such that the data collection pattern also corresponds to resources and capabilities of the target device.

Claims

1. A computing device to dynamically modify a data collection pattern, the computing device comprising:

a memory configured to store instructions; and

one or more processors coupled to the memory, the one or more processors configured to execute, in conjunction with the instructions stored in the memory, an application and a telemetry module integrated with the application, wherein the telemetry module comprises;

a data collection and analysis engine configured to;

receive the data collection pattern comprised of one or more data collection rules from a service associated with the application; and

perform data collection and analysis for reporting to the service based on the data collection pattern;

a scaling profile manager configured to;

receive a profile for the device that defines criteria for scaling of the data collection and analysis from the service;

determine one or more resources and capabilities of the device; and

compare the one or more resources and capabilities of the device to the criteria in order to generate instructions for scaling the data collection and analysis based on the comparison; and

one or more resource allocators associated with the data collection and analysis engine, the one or more resource allocators configured to receive and execute the instructions generated by the scaling profile manager to scale the data collection and analysis, wherein the data collection and analysis engine is further configured to

determine one or more additional data collection rules based on the scaled data collection and analysis,

dynamically modify the data collection pattern based on the one or more additional data collection rules such that the modified data collection pattern corresponds to the one or more resources and capabilities of the device, and

perform the data collection and analysis for reporting to the service based on the modified data collection pattern that corresponds to the one or more resources and capabilities of the device.

2. The computing device of claim 1, wherein the one or more data collection rules indicate one or more of:

types of data to be collected, types of operations to be performed on data to be collected, an amount of data to be collected, a time at which data is to be collected, a frequency at which data is to be collected, and operating conditions of the computing device under which data is to be collected.

3. The computing device of claim 2, wherein the one or more additional data collection rules indicate one or more of:

additional types of data to be collected, removal of the types of data to be collected, at least one of aggregation, mathematical, and filtering operations to be performed on data to be collected, an increase in the amount of data to be collected, a decrease in the amount of data to be collected, an alternate time at which the data is to be collected, an increase of the frequency at which the data is to be collected, a decrease of the frequency at which the data is to be collected, and alternate operating conditions of the computing device under which the data is to be collected.

4. The computing device of claim 1, wherein the data collection and analysis engine comprises a data collector component and a rule manager and analyzer component.

5. The computing device of claim 4, wherein the rule manager and analyzer component is configured to determine the one or more additional data collection rules based on the scaled data collection and analysis, and dynamically modify the data and collection pattern based on the one or more additional data collection rules.

6. The computing device of claim 4, wherein the data collector component is configured to receive the dynamically modified data collection from the rule manager and analyzer component, and implement the modified data collection pattern for data collection.

7. The computing device of claim 1, wherein the telemetry module further comprises:

a telemetry transport component configured to receive the data collection pattern and the profile from a server executing the service, and provide the data collection pattern and the profile to the data collection and analysis engine and the scaling profile manager, respectively.

8. The computing device of claim 1, wherein the telemetry module further comprises:

a resource monitor configured to monitor the one or more resources and capabilities of the computing device in real-time, and provide the one or more resources and capabilities of the computing device to the scaling profile manager for the comparison.

9. The computing device of claim 1, wherein the criteria for the scaling of the data collection and analysis includes one or more triggers and a response associated with the one or more triggers, and wherein the one or more triggers are associated with one or more of resource events of the computing device, software events of the computing device, and user actions associated with the computing device.

10. The computing device of claim 9, wherein the one or more resources and capabilities of the computing device determined are associated with the one or more triggers of the criteria, and include one or more of a computer processing unit (CPU) load percentage, an available memory, an available network, an available disk space, an available network bandwidth, and an available battery percentage.

11. A method executed at least in part in a computing device to dynamically modify a data collection pattern, the method comprising:

receiving, from a service associated with an application being executed on the computing device, the data collection pattern comprised of one or more data collection rules implemented by a data collection and analysis engine for data collection and analysis, wherein the one or more data collection rules indicate one or more of;

a type of data to be collected, types of operations to be performed on data to be collected, an amount of data to be collected, a time at which data is to be collected, a frequency at which data is to be collected, and operating conditions of the computing device under which data is to be collected;

receiving, from the service, a profile for the computing device that defines criteria for scaling of the data collection and analysis;

determining one or more resources and capabilities of the computing device;

comparing the one or more resources and capabilities of the computing device to the criteria;

scaling the data collection and analysis based on the comparison;

determining one or more additional data collection rules based on the scaled data collection and analysis;

dynamically modifying the data collection pattern implemented by the data collection and analysis engine based on the one or more additional data collection rules such that the modified data collection pattern corresponds to the one or more resources and capabilities of the computing device; and

performing, by the data collection and analysis engine, data collection and analysis using the modified data collection pattern.

12. The method of claim 11, wherein the one or more additional data collection rules indicate one or more of:

additional types of data to be collected, removal of the types of data to be collected, at least one of aggregation, mathematical, and filtering operations to be performed on data to be collected, an increase in the amount of data to be collected, a decrease in the amount of data to be collected, an alternate time at which the data is to be collected, an increase of the frequency at which the data is to be collected, a decrease of the frequency at which the data is to be collected, and alternate operating conditions under which the data is to be collected.

13. The method of claim 11, wherein scaling the data collection and analysis based on the comparison comprises:

adjusting parameters of the data collection and analysis such that the parameters correspond to the one or more resources and capabilities of the computing device.

14. The method of claim 11, wherein comparing the one or more resources and capabilities of the computing device to the criteria comprises:

determining whether the one or more resources and capabilities of the computing device includes one or more triggers included within the criteria for the scaling of the data collection and analysis.

15. The method of claim 14, wherein scaling the data collection and analysis based on the comparison comprises:

in response to a determination that the one or more resources and capabilities of the computing device include the one or more triggers, scaling the data collection and analysis according to a response for the one or more triggers included within the criteria for the scaling of the data collection and analysis.

16. A method of dynamically modifying a data collection pattern , the method comprising:

receiving, from a service associated with an application being executed on a device, the data collection pattern comprised of one or more data collection rules implemented by a data collection and analysis engine for data collection and analysis;

receiving, from the service, a profile for the computing device that defines criteria for scaling of the data collection and analysis;

determining one or more resources and capabilities of the device;

comparing the one or more resources and capabilities of the device to the criteria;

scaling the data collection and analysis based on the comparison by adjusting parameters of the data collection and analysis such that the parameters correspond to the one or more resources and capabilities of the device;

determining one or more additional data collection rules based on the scaled data collection and analysis;

dynamically modifying the data collection pattern implemented by the data collection and analysis engine based on the one or more additional data collection rules such that the modified data collection pattern also corresponds to the one or more resources and capabilities of the computing device, and

performing, by the data collection and analysis engine, data collection and analysis using the modified data collection pattern that corresponds to the one or more resources and capabilities of the computing device.

17. The method of claim 16, further comprising:

receiving the data collection pattern from a server executing the service through a telemetry transport component.

18. The method of claim 17, further comprising:

receiving the profile from the server executing the service through the telemetry transport component.

19. The method of claim 16, wherein comparing the one or more resources and capabilities of the device to the criteria comprises:

determining whether the one or more resources and capabilities of the computing device includes one or more triggers included within the criteria for the scaling of the data collection and analysis.

20. The method of claim 19, wherein scaling the data collection and analysis based on the comparison by adjusting parameters of the data collection and analysis comprises:

in response to a determination that the one or more resources and capabilities of the computing device include the one or more triggers, scaling the data collection and analysis according to a response for the one or more triggers included within the criteria for the scaling of the data collection and analysis.