TAILORABLE OPTIMIZATION USING MODEL DESCRIPTIONS OF SERVICES AND SERVERS IN A COMPUTING ENVIRONMENT

Patent №

US 7,054,934

Granted

2006-05-30

Filed 2001

Owner

HEWLETT-PACKARD COMPANY

Lab

AI components

2

planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10046519

Method and apparatus for optimizing allocation of computer resources between server and service models. A server model is established in response to user input data. The server model includes one or more server nodes, and each server node has an associated set of capacity attributes. In addition, a service model is established that includes one or more service nodes. Each service node has an associated set of demand attributes. In response to a user selection, one of a plurality of optimization methods and one of a plurality of optimization policies, as embodied in objective functions, are selected for mapping the server nodes and service nodes. An optimized mapping is then generated of the server nodes in the server model to the service nodes in the service model using the selected optimization method, along with the demand and capacity attributes.

AI classification

Planning1.00
AI hardware0.93
Knowledge representation0.45
Machine learning0.31
Evolutionary computation0.27
Vision0.00
Natural language0.00
Speech0.00

Ownership

HEWLETT-PACKARD COMPANY

assignment · 127040578

Assignors

GRAUPNER, SVEN, KOTOV, VADIM, TRINKS, HOLGER

On an employer assignment, the assignors are typically the inventors.

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