Dynamic Resource Scheduling

Abstract

Embodiments of the invention relate to a system and method for dynamically scheduling resources using policies to self-optimize resource workloads in a data center. The object of the invention is to allocate resources in the data center dynamically corresponding to a set of policies that are configured by an administrator. Operational parametrics that correlate to the cost of ownership of the data center are monitored and compared to the set of policies configured by the administrator. When the operational parametrics approach or exceed levels that correspond to the set of policies, workloads in the data center are adjusted with the goal of minimizing the cost of ownership of the data center. Such parametrics include yet are not limited to those that relate to resiliency, power balancing, power consumption, power management, error rate, maintenance, and performance.

What is claimed is: 
     
         1 . A method for dynamically distributing workloads across a plurality of computers in a data center, the method comprising:
 setting one or more policy rules, wherein the one or more policy rules correspond to one or more parametrics in the data center relating to error rate and temperature associated with a resource in the data center;   monitoring the one or more parametrics in the data center relating to the error rate and the temperature associated with the resource in the data center;   identifying that a current error rate associated with the resource corresponds to an error rate threshold;   identifying that the temperature associated with the resource has increased; and   adjusting workloads in the data center based on the one or more policy rules, the identification that the current error rate corresponds to the error rate threshold, and the identification that the temperature associated with the resource has increased, wherein the adjusting of the workloads in the data center corresponds to a reduction in an operating frequency associated with the resource.