Abstract: Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.

Abstract: Techniques are provided for allocating resources. Performance metrics for a transaction are received. It is determined whether one or more service level objectives are being violated based on the received performance metrics. In response to determining that the one or more service level objectives are being violated, additional resources are allocated to the transaction. In response to allocating the additional resources, a resource allocation event is published.

Abstract: Provided are a method, system, and program for distributing application transactions among work servers. Application transaction rates are determined for a plurality of applications supplying transactions to process. For each application, available partitions in at least one server are assigned to process the application transactions based on partition transaction rates of partitions in the servers. For each application, a determination is made of weights for each server including partitions assigned to the application based on a number of partitions in the server assigned to the application. The determined weights for each application are used to distribute application transactions among the servers including partitions assigned to the application.