Sun Microsystems, Inc.

Richard C Murphy

Shrikant Deshpande

Scott Michael Carter

Mario G Ornelas

A system and method for automatically identifying a desirable reconfiguration of computer system resources, using a perceptron to determine whether one resource configuration will likely be more efficient or more effective than a second configuration. An iterative solver identifies possible configurations or reconfigurations of the resources. A possible configuration is applied to the perceptron, which determines whether the new configuration is more attractive than an existing or baseline configuration, in terms of a predetermined objective function (e.g., cost, performance, resource utilization, throughput). If the new configuration improves the objective function, the new configuration may be automatically or manually applied through a dynamic reconfiguration operation.

Automated resource management using perceptron prediction

A system and method for predicting whether a dynamic reconfiguration of a resource of a resource domain would be successful, prior to attempting the reconfiguration. A resource domain includes one or more computer resources (e.g., physical, logical and pseudo devices) and a graph management agent configured to maintain a graph representing the resources and dependencies between resources. Vertices of the graph represent resources; edges represent dependencies. A resource domain may also include a set of policies or constraints regarding resources and reconfigurations of resources. An illustrative constraint may specify that a particular resource (e.g., a multi-pathed logical device) must have a minimal number of paths (e.g., two). The graph agent identifies the effect the dynamic reconfiguration operation would have upon the resources and dependencies, and determines whether any constraints would be violated. If no constraints would be violated, the graph management agent may indicate that the reconfiguration would succeed.

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Richard C Murphy