System, method, and service for efficient allocation of computing resources among users

A method for identifying an optimum allocation of a plurality of component resources and a plurality of computing resources amongst a plurality of users, the method comprising:

• specifying a set of requirements for the optimum allocation of the component resources and the computing resources;
• identifying a first set of metrics that indicate a performance level at which a component resources and computing resources are replaced;
• identifying a second set of metrics that indicate a performance level at which the component resources and the computing resources are upgraded;
• correlating the first set of metrics and the second set of metrics with a user's job description and user's job level to create a metrics table;
• invoking an automatic hardware allocation utility of a resource allocator, wherein the first set of metrics, the second set of metrics and the metrics table are used in the automatic hardware allocation utility for consideration;
• and
• receiving an optimum allocation of the component resources and the computing resources from the automatic hardware allocation utility, wherein the specified set of requirements are satisfied.

A computer system for allocating a plurality of computing resources among a plurality of users, comprising:

• a performance agent
• that collects a plurality of performance data including a time percentage in which a computing resource is engaged in excessive paging activity and
• that applies a plurality of policy rules to the collected performance data;
• an automatic hardware of a resource allocator analyzes the collected performance data to determine if there exists an actionable item;
• if an actionable item exists, a resource identification module applies a plurality of metrics including a job description and job level of a user to filter the collected performance data;
• and
• the automatic hardware of the resource allocator automatically allocates the computing resources by at least one action based on the actionable item using the collected performance data that has been filtered:
• upgrading a component, replacing the component, upgrading the computing resource, and replacing the computing resource.