Abstract: Identifying root causes of application underachievement in a virtually provisioned environment is described. A utilization measurement is recorded for each resource for each server in a virtually provisioned environment associated with an application operation if an application operation time exceeds a time constraint. The resources include a central processing unit resource, a memory resource, a network resource, and/or an input-output resource. Each utilization measurement is converted to a corresponding utilization range of multiple utilization ranges. After the application operation time exceeds the time constraint on a specified number of occasions, an identification of a specific resource for a specific server as a root cause of the application operation time exceeding the time constraint is output if the utilization record includes a specific range for the specific resource for the specific server more than a specified frequency.

Abstract: Estimating required resources to support a specific number of users in a virtually provisioned environment is described. Servers are identified that support application operations associated with executing an application, based on a configuration file. A count of each type of application operation currently executing and a resource utilization associated with each of the servers are recorded. A set of linear equations is created and solved to estimate resource costs of each individual type of application operation and ultimately to calculate required resource costs to support the projected number of concurrent users.

Abstract: A method for load balancing resource requests among a plurality of servers is disclosed and includes providing an enterprise content management (ECM) system coupled to processing servers for managing a plurality of resources, where each resource is identified by a resource identifier. The ECM system includes a load manager that receives a first plurality of requests. Each request includes a resource identifier and an action, and is assigned to a processing server for processing. The method includes recording performance statistics for each request when each request is processed. Request types based on the resource identifier and the action of each request are also identified. For each request type, a weighting factor is generated based on the performance statistics for each request of the request type. Thereafter, a new request is assigned to a processing server based on the weighting factor for request type of the new request.