User Presence Prediction Driven Device Management

Patent metadata

Field	Value
Publication number	US-2017243128-A1
Application number	US-201615048397-A
Country	US
Kind code	A1
Filing date	Feb 19, 2016
Priority date	Feb 19, 2016
Publication date	Aug 24, 2017
Grant date	—

Abstract

Pooling computing resources based on inferences about a plurality of hardware devices. The method includes identifying inference information about the plurality of devices. The method further includes based on the inference information optimizing resource usage of the plurality of hardware devices.

First claim

What is claimed is:

1 . A computing system comprising:
one or more processors; and one or more computer-readable media having stored thereon instructions that are executable by the one or more processors to configure the computer system to pool computing resources based on inferences about a plurality of hardware devices, including instructions that are executable to configure the computer system to perform at least the following:
identify inference information about the plurality of devices; and
based on the inference information optimize resource usage of the plurality of hardware devices.

2 . The system of claim 1 , wherein the inference information comprises information identifying that the plurality of devices are likely to be in a predetermined proximity to each other within a given time.

3 . The method of claim 10 , wherein optimizing resource usage of the plurality of hardware devices comprises delaying a computing operation in anticipation of the plurality of devices being in the predetermined proximity to each other within the given time.

4 . The system of claim 1 , wherein optimizing resource usage of the plurality of hardware devices comprises assigning computing tasks to a device with available resources

5 . The system of claim 1 , wherein the inference information comprises information identifying that the plurality of devices are likely to be in proximity to each other for a given period of time.

6 . The system of claim 5 , wherein optimizing resource usage of the plurality of hardware devices comprises prioritizing computing tasks based on an inference that hardware resources may be lost after the given period of time.

7 . The system of claim 5 , wherein optimizing resource usage of the plurality of hardware devices comprises suppressing transaction retry logic on a hardware device based on an inference that hardware resources may be lost after the given period of time.

8 . The system of claim 5 , wherein optimizing resource usage of the plurality of hardware devices comprises offloading a transaction to a hardware device based on an inference that hardware resources are likely to be available or used for the given period of time and based on information indicating that the transaction is likely to be committed or aborted within the given period of time.

9 . In a computing environment a method of pooling computing resources based on inferences about a plurality of hardware devices, the method comprising:
identifying inference information about the plurality of devices; and based on the inference information optimizing resource usage of the plurality of hardware devices.

10 . The method of claim 9 , wherein the inference information comprises information identifying that the plurality of devices are likely to be in a predetermined proximity to each other within a given time.

11 . The method of claim 10 , wherein optimizing resource usage of the plurality of hardware devices comprises delaying a computing operation in anticipation of the plurality of devices being in the predetermined proximity to each other within the given time.

12 . The method of claim 10 , wherein optimizing resource usage of the plurality of hardware devices comprises assigning computing tasks to a device with available resources

13 . The method of claim 9 , wherein the inference information comprises information identifying that the plurality of devices are likely to be in proximity to each other for a given period of time.

14 . The method of claim 13 , wherein optimizing resource usage of the plurality of hardware devices comprises prioritizing computing tasks based on an inference that hardware resources may be lost after the given period of time.

15 . The method of claim 13 , wherein optimizing resource usage of the plurality of hardware devices comprises suppressing transaction retry logic on a hardware device based on an inference that hardware resources may be lost after the given period of time.

16 . The method of claim 13 , wherein optimizing resource usage of the plurality of hardware devices comprises offloading a transaction to a hardware device based on an inference that hardware resources are likely to be available or used for the given period of time and based on information indicating that the transaction is likely to be committed or aborted within the given period of time.

17 . A computing device configured to be pooled with other devices, the device comprising:
an agent; a model coupled to the agent; wherein the agent is configured to access the model and models from other agents on other devices; wherein the agent is configured to obtain from the models inference information about the device and the other devices; and wherein the agent is configured to optimize resource usage of the device using the inference information about the device and the other devices.

18 . The computing device of claim 17 , wherein the inference information comprises information identifying that the plurality of devices are likely to be in a predetermined proximity to each other within a given time and wherein optimizing resource usage of the device using the inference information about the device and the other devices comprises delaying a computing operation in anticipation of a plurality of devices being in the predetermined proximity to each other within the given time.

19 . The computing device of claim 17 , wherein optimizing resource usage of the device using the inference information about the device and the other devices comprises assigning computing tasks to a device with available resources

20 . The computing device of claim 17 , wherein the inference information comprises information identifying that the plurality of devices are likely to be in proximity to each other for a given period of time.

Assignees

• Microsoft Technology Licensing Llc

Inventors

• Kishan Arun U
• Wilson Emily Nicole
• Soliman Mohammed Nashaat
• Maisuria Paresh
• Weinberg Shira
• Virdi Gurpreet
• Brown Jared

Classifications

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06F9/5005 Primary

  to service a request · CPC title

• G06N5/043

  Distributed expert systems; Blackboards · CPC title

• G06F9/5088

  involving task migration · CPC title

• G06F9/46

  Multiprogramming arrangements · CPC title