Abstract: A service workflow including ordered services is received, and a heuristic utility value is calculated for each service. A best node having a smallest heuristic utility value for a service is selected, and a best node identifier is placed in a node list. If the best node includes a parallel sub-workflow, potential next nodes are identified by generating potential next nodes from a data center that can perform a service associated with the best node with a minimum run-time value. Otherwise, potential next nodes are generated based on a data center associated with the service. A heuristic utility value is determined for each potential next node, and a new best node is selected based on the heuristic utility values. The identifying, determining, and selecting operations are repeated until the best node contains only the last ordered service. Data centers for each ordered service are identified based on the best node.

Abstract: The present disclosure relates to dynamically allocating multitier applications based upon performance and reliability of resources. A controller analyzes resources and applications hosted by the resources, and collects operational data relating to the applications and resources. The controller is configured to determine an allocation scheme for allocating or reallocating the applications upon failure of a resource and/or upon rollout or distribution of a new application. The controller generates configuration data that describes steps for implementing the allocation scheme. The resources are monitored, in some embodiments, by monitoring devices. The monitoring devices collect and report the operational information and generate alarms if resources fail.

Abstract: A method and apparatus for providing a resource allocation policy in a network are disclosed. For example, the method constructs a queuing model for each application. The method defines a utility function for each application and for each transaction type of each application, and defines an overall utility in a system. The method performs an optimization to identify an optimal configuration that maximizes the overall utility for a given workload, and determines one or more adaptation policies for configuring the system in accordance with the optimal configuration.