Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: A method, system, and computer program product for providing data services, using a single control path, on a data storage resource selected from a plurality of heterogeneous storage resources, the computer-executable method comprising receiving an input relating to data services, analyzing the input to determine an appropriate type of data service to provide on the data storage resource, and based on the analyzing, providing the appropriate type of data service on the data storage resource.

Abstract: Methods and apparatus to provide, in a cloud infrastructure environment having a compute layer, a network layer, a storage layer, and management layer, wherein the management layer has no knowledge of at least some of existing infrastructure services, selecting hosts containing host bus adapters and/or network adapters having unique identifiers, using the unique identifiers to analyze the storage layer for: storage groups having host initiators that match the unique identifiers of the host bus adaptors, and/or network file storage (NFS) exports exposed to the unique identifiers as client IP addresses.

Abstract: Methods and apparatus for provisioning shared NFS storage in a cloud storage environment having a storage layer, a compute layer, a network layer connecting the storage layer and the computer layer, and a management layer coupled to the compute layer.

Abstract: A computer-executable method, system, and computer program product comprising providing a policy based scheduling model comprising modeled instances of objects representing resources, wherein the resources are provisioned within a heterogeneous storage environment, wherein the modeled instances of objects includes a transport zone for mapping a data storage resource within the heterogeneous storage environment to a data storage host, wherein each of the modeled instances of objects includes one or more ports to create I/O paths between the data storage resource and the data storage host, and using the policy based scheduling model to manage the provisioning of the data storage resource in the heterogeneous storage environment.

Abstract: Methods and apparatus to provide command abstraction. In one embodiment, a method includes obtaining information on commands for a plurality of devices including devices of the same type having different command structures, receiving a generic command from a user directed to one of the devices of the same type, determining, using a computer processor, whether the generic command is supported, extracting parameters from the generic command, and generating from the extracted parameters and the generic command a device-specific command for execution by the one of the devices of the same type.

Abstract: Methods and apparatus to provide, in a cloud infrastructure environment having a compute layer, a network layer, a storage layer, and management layer, wherein the management layer has no knowledge of at least some of existing infrastructure services, selecting hosts containing host bus adapters and/or network adapters having unique identifiers, using the unique identifiers to analyze the storage layer for: storage groups having host initiators that match the unique identifiers of the host bus adaptors, and/or network file storage (NFS) exports exposed to the unique identifiers as client IP addresses.

Abstract: Methods and apparatus for configuring disaster tolerant clusters of hypervisors as a virtualized service. In an exemplary embodiment, a system discovers WWPNs components, identifies networks zones in SANs having connectivity with at least one of the storage arrays and at least one of the journaling appliances, and creates a disaster recovery service offerings including replication in accordance with the selected service offering.