Google Inc.

Motorola Solutions, Inc.

Arris Enterprises LLC

Yan Liu

Nitya Narasimhan

Gregory L Singer

Jing Zhang

Kabe Vanderbaan

Paul C Davis

John Charles Strassner

Zhi Fu

Srinivasa C Samudrala

Michael Zhihe Z Jiang

Bhavan Ghandhi

A method () and apparatus () collect and upload implicit analytic data. The method can include storing () dependency rules corresponding explicit events to implicit events. The method can include collecting () and storing () implicit event data corresponding to implicit events. The method can include receiving () an explicit event at the device. The method can include evaluating () dependency rules corresponding to the explicit event. The method can include identifying () a relevant subset of implicit event data corresponding to the explicit event based on evaluating the dependency rules. The method can include uploading () the relevant subset of the implicit event data and explicit event data corresponding to the explicit event.

Method and apparatus that collect and uploads implicit analytic data

The power of analytical modeling is added to existing methods for specifying policies. Generally speaking, humans use their knowledge and experience to draft policies at a relatively high level. These policies then incorporate analytical models which provide the intelligence on how to most effectively apply the high-level policy to a particular situation. When a policy is invoked, the analytical model provides up-to-date intelligence at a level of completeness and refinement not possible with previous techniques. As a result, fewer policies need to be drafted, and those few need to be updated less frequently than in previous schemes. Rather than updating the policy itself, the analytical model is automatically updated whenever new data are fed into it. As the analytical model incorporates new observational data, it grows more powerful and thus automatically increases the effectiveness of the high-level policy.

Using analytical models to inform policy decisions

A method and apparatus collect and upload implicit analytic data. The method can include storing dependency rules corresponding explicit events to implicit events. The method can include collecting and storing implicit event data corresponding to implicit events. The method can include receiving an explicit event at the device. The method can include evaluating dependency rules corresponding to the explicit event. The method can include identifying a relevant subset of implicit event data corresponding to the explicit event based on evaluating the dependency rules. The method can include uploading the relevant subset of the implicit event data and explicit event data corresponding to the explicit event.

A content provider broadcasts content to subscribers through a content distribution system. The content distribution system operator can capture broadcast content in accordance with policies established by the content provider and make the content available subsequent to the original broadcast in accordance with applicable business policies. Business policies are created by the content provider by modifying template information models which have associated rules. The content distributor stores the business policies and evaluates rules indicated by the business policies against attributes of a content asset to determine availability of the content asset.

Method and system for policy-based re-broadcast video on demand service

A system, method, and information processing system for managing a configuration of a network device. A current state associated with at least one network device () is determined (). A set of commands () available for the current state of the network device () is retrieved (). A next state associated with a current command is determined () for each command in the set of commands (). A transition from the current state to the next state is created () in response to determining a next state associated with a current command. A transition is determined to have been created for each command in the set of commands (). An extended finite state machine () is created that includes at least the current state, the next state, and the transition for each of the commands in the set of commands ().

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Hanover Park, IL, United States of America

Yan Liu