Abstract: A method, system, and computer program product include a processor estimating a first time value representing an amount of time for a service to process a set of messages and estimating a second time value representing an amount of time for a consumer to process the set of messages. The processor divides the set of messages into a first block of messages and a second block of messages. The size of the second block is larger than the size of first. The processor passes the first block to a first service and the second block to a second service, where a first time period, in which the second service will process the second block, is equal to a second time period, in which the first service and the consumer will process the first block. The services are parallel and are serially connected on an output side to the consumer.

Abstract: A method, system, and computer program product include a processor estimating a first time value representing an amount of time for a service to process a set of messages and estimating a second time value representing an amount of time for a consumer to process the set of messages. The processor divides the set of messages into a first block of messages and a second block of messages. The size of the second block is larger than the size of first. The processor passes the first block to a first service and the second block to a second service, where a first time period, in which the second service will process the second block, is equal to a second time period, in which the first service and the consumer will process the first block. The services are parallel and are serially connected on an output side to the consumer.

Abstract: A method of generating a multi-dimensional model comprises receiving data defining multiple resource types, receiving metadata defining a hierarchical organization for one or more resource types, a hierarchical resource type for a respective resource type defining multiple levels of aggregation, and composite resource types for one or more groups of resource types, a composite resource type defining a composition of resource types, and generating the multi-dimensional model from the received data and received metadata, the generating comprising creating a multi-dimensional function for each resource type and for each composite resource type.

Abstract: A method of generating a multi-dimensional model comprises receiving data defining multiple resource types, receiving metadata defining a hierarchical organisation for one or more resource types, a hierarchical resource type for a respective resource type defining multiple levels of aggregation, and composite resource types for one or more groups of resource types, a composite resource type defining a composition of resource types, and generating the multi-dimensional model from the received data and received metadata, the generating comprising creating a multi-dimensional function for each resource type and for each composite resource type.