Manish A Malhotra

US Patent:

20030177413, Sep 18, 2003

Filed:

Dec 23, 2002

Appl. No.:

10/328781

Inventors:

Raghavender Pillutla - San Jose CA, US
Yousef Yacoub - San Jose CA, US
Thierry Violleau - Mountain View CA, US
Manish Malhotra - New York NY, US

Assignee:

Sun Microsystems Inc., a Delaware Corporation

International Classification:

H02H003/05

US Classification:

714/025000

Abstract:

Versioning may be utilized in a knowledge base decision tree in order to provide several useful features. To accomplish this, when a decision tree is traversed, the decision tree representing a knowledge base and having non-leaf nodes with one or more branches representing possible symptoms, and leaf nodes with no branches, branches may be followed corresponding to symptoms experience by the application until a leaf node is reached. This traversal may be recorded as a version, with subsequent traversals having a different version. This allows a user to rerun performance tuning either from the beginning or from an earlier node without having to re-enter information already provided. It also allows a user to resume the performance tuning should he be interrupted in the middle, such as by a crash or by having to halt a long traversal.

US Patent:

20030177414, Sep 18, 2003

Filed:

Dec 23, 2002

Appl. No.:

10/329286

Inventors:

Raghavender Pillutla - San Jose CA, US
Yousef Yacoub - San Jose CA, US
Thierry Violleau - Mountain View CA, US
Manish Malhotra - New York NY, US

Assignee:

Sun Microsystems Inc., a Delaware Corporation

International Classification:

H02H003/05

US Classification:

714/025000

Abstract:

In order to diagnose applications, a specialized knowledge base may be created that is static upon creation but may become dynamic when traversed. The knowledge base may be defined as a decision tree having one or more diagnosis nodes, one or more analysis nodes, and one or more symptom branches. The diagnosis nodes are leaf nodes and indicate proposed diagnoses and/or proposed remedies for an application. The symptom branches may connect analysis nodes to other analysis nodes or analysis nodes to diagnosis nodes, and may indicate possible symptoms of the application. The analysis nodes may be non-leaf nodes and indicate information required to determine which symptom branches to follow during traversal. Additionally, the analysis nodes may indicate additional information required from a collector agent before traversal can be continued. This allows the knowledge base to be utilized dynamically, improving performance and reliability.