Predictive computer network services provisioning for mobile users

• US 20090029692A1
• Filed: 03/05/2008
• Published: 01/29/2009
• Est. Priority Date: 03/29/2007
• Status: Active Grant

• Current Assignee: Deutsche Telekom AG, Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Original Assignee: Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Inventors: Radermacher, Klaus, Bambos, Nicholas
• Granted Patent: US 9,614,958 B2
• Time in Patent Office: Days
• US Class Current: 455/418
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04M 2203/2072 Schedules, e.g. personal calendars
• CPC Class Codes: H04M 2242/30 Determination of the location of a subscriber
• CPC Class Codes: H04M 3/42127 Systems providing several special services or facilities from groups H04M3/42008 - H04M3/58
• CPC Class Codes: H04M 3/42348 Location-based services which utilize the location information of a target
• CPC Class Codes: H04W 4/02 Services making use of location information

Abstract

A predictive network service provisioning method uses personal schedule information of a user [120] to predict the geographic/network location of the user, the operational context of a user, and/or the computation and communication needs of a user. These predicted user attributes may be used to reduce network latency by prepositioning user data [122] at a location [126] closer to the user, allocating services and/or resources for the user at the predicted location, and/or providing the user with access to the prepositioned personal data files [138] and services when requested by the user.

Claims

1. A method for predictive computer network service provisioning comprising:

obtaining personal schedule information of a user made available on a network, predicting a future attribute of the user from the personal schedule information, and provisioning computer network services based on the predicted future attribute.

2. The method of claim 1 wherein the predicted future attribute of the user comprises a geographic location and associated network location of the user.

3. The method of claim 2 wherein provisioning computer network services comprises prepositioning user data files to a server near the predicted geographic area of the user.

4. The method of claim 1 wherein the predicted future attribute of the user comprises an operational context of the user.

5. The method of claim 4 wherein provisioning computer network services comprises allocating computer network services appropriate to the predicted operational context of the user.

6. The method of claim 1 wherein the predicted future attribute of the user comprises computation and communication needs of the user.

7. The method of claim 6 wherein provisioning computer network services comprises allocating computing resources appropriate to the predicted computation and communication needs of the user.