Abstract: A heterogeneous resource reservation (HRR) manager configured to classify historical application requests from a past time interval for a first workload to generate labeled historical application requests. The HRR manager further configured to generate a forecast based on the labeled historical application requests and for predicting future application requests for the first workload for a future time interval and calculate a joint plan based on the forecast. The joint plan including a set of virtual resources, a set of billing contracts, and a set of load balancer weights. The HRR manager further configured to implement the joint plan for a distributed computing workload during the future time interval.

Abstract: A heterogeneous resource reservation (HRR) manager configured to classify historical application requests from a past time interval for a first workload to generate labeled historical application requests. The HRR manager further configured to generate a forecast based on the labeled historical application requests and for predicting future application requests for the first workload for a future time interval and calculate a joint plan based on the forecast. The joint plan including a set of virtual resources, a set of billing contracts, and a set of load balancer weights. The HRR manager further configured to implement the joint plan for a distributed computing workload during the future time interval.

Abstract: Methods, computing systems and computer program products implement embodiments of the present invention that include defining, for a request processing system, a first homogeneous auto-scaling group including a first monitored resource, a first set of processing systems, a first minimum threshold, a first maximum threshold, and a first system configuration. Subsequent to defining the first homogeneous auto-scaling group, a second auto-scaling group is defined for the request processing system, the second auto-scaling group including a second monitored resource different from the first monitored resource, a second set of processing systems, a second minimum threshold, a second maximum threshold, and a second system configuration different from the first system configuration. In embodiments of the present invention, a load balancer for the request processing system manages the first and the second sets of processing systems as a single heterogeneous auto-scaling group.