METHOD AND APPARATUS FOR CONTROLLING AUTONOMIC COMPUTING SYSTEM PROCESSES USING KNOWLEDGE-BASED REASONING MECHANISMS

• US 20080071714A1
• Filed: 08/21/2006
• Published: 03/20/2008
• Est. Priority Date: 08/21/2006
• Status: Abandoned Application

• Current Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Menich, Barry J., Strassner, John C.
• Application Number:
  US11/465,860
• Publication Number:
  US 20080071714A1
• Time in Patent Office: Days
• US Class Current: 706/45
• CPC Class Codes: G06N 5/041 Abduction

Abstract

A system [100] is provided that includes a Model-Based Translation Layer [200] to accept an input event being formed in any of a pre-determined set of languages and protocols, and output an output message having a common language and protocol. The system [100] also includes a State Processing Layer [300] to (a) parse the output message to determine an event, an externally perceived state of the event, and an internally perceived state of the event; (b) determine a type of the event; (c) determine whether the externally perceived state of the event is substantially equivalent to the internally perceived state of the event; and (d) invoke policy control to lookup action functions to address the event in response to determining that a combination of the type of the event and the externally perceived state of the event is determined to be valid.

Claims

1. A method, comprising:

receiving a message from a Model-Based Translation Layer;

parsing the message to determine an event, and at least one of an externally perceived state of the event and an internally perceived state of the event;

determining a type of the event;

determining whether the externally perceived state of the event is substantially equivalent to the internally perceived state of the event; and

invoking policy control to lookup action functions to address the event in response to determining that a combination of the type of the event and the externally perceived state of the event is determined to be valid.

2. The method of claim 1, the parsing further comprising generating at least one of an event context object and a set of objects to store the event, the externally perceived state of the event, and the internally perceived state of the event.

3. The method of claim 1, the type being one of a characterization event used to measure system attributes, a solicitation event used to request additional information, and a normal event generated according to policies that direct the Model-Based Translation Layer to perform surveillance activities.

4. The method of claim 3, further comprising updating a set of state histories to describe a system element in response to the type being a characterization event.

5. The method of claim 3, further comprising performing ontological processing for the event to determine a matching pre-determined event in an ontology in response to a determination that the type is not a normal event.

6. The method of claim 3, further comprising pairing, in response to the type being a solicitation event, the solicitation event with an original event utilized by the Model-Based Translation Layer to generate the message.

7. The method of claim 6, further comprising performing at least one of machine learning and abductive reasoning on the solicitation event.

8. The method of claim 6, further comprising performing case-based reasoning on the solicitation event.

9. A system, comprising:

a Model-Based Translation Layer to generate an output message having a common language and protocol by at least one of;

inferring a new event from previous events received from external entities, and accepting at least one input event defined in any of a pre-determined set of languages and protocols;

a State Processing Layer to;

parse the output message to determine an event, an externally perceived state of the event, and an internally perceived state of the event;

determine a type of the event;

determine whether the externally perceived state of the event is substantially equivalent to the internally perceived state of the event; and

invoke policy control to lookup action functions to address the event in response to determining that a combination of the type of the event and the externally perceived state of the event is determined to be valid.

10. The system of claim 9, further comprising at least one event context object to store the event, the externally perceived state of the event, and the internally perceived state of the event.

11. The system of claim 9, further comprising a memory to store a set of state histories to describe a system element in response to the type being a characterization event.

12. The system of claim 9, further comprising at least one ontology utilized for performing ontological processing for the event to determine a matching pre-determined event in response to a determination that the type is not a normal event.

13. The system of claim 9, further comprising a processor to, in response to the type being a solicitation event, pair a solicitation event with an original event utilized by the Model-Based translation Layer to generate the message.

14. An apparatus, comprising:

a State Processing Layer to;

parse a message received from a Model-Based Translation Layer to determine an event, an externally perceived state of the event, and an internally perceived state of the event;

determine a type of the event;

determine whether the externally perceived state of the event is substantially equivalent to the internally perceived state of the event;

store the event, the externally perceived state of the event, and the internally perceived state of the event in at least one event context object; and

invoke policy control to lookup action functions to address the event in response to determining that a combination of the type of the event and the externally perceived state of the event is determined to be valid.

15. The apparatus of claim 14, further comprising a memory to store a set of state histories to describe a system element in response to the type being a characterization event.

16. The apparatus of claim 14, further comprising at least one ontology utilized for performing ontological processing for the event to determine a matching pre-determined event in response to a determination that the type is not a normal event.

17. The apparatus of claim 14, further comprising a processor to, in response to the type being a solicitation event, pair a solicitation event with an original event utilized by the Model-Based translation Layer to generate the message.