Abstract: An apparatus in one embodiment comprises a processing platform that includes a plurality of processing devices each comprising a processor coupled to a memory. The processing platform is configured to implement virtual resources of at least a first cloud-based system. The processing platform further comprises a user-specific cloud infrastructure identification module configured to determine user-specific cloud infrastructure within the first cloud-based system, a virtual representation generator module configured to generate an interactive three-dimensional visualization of the first cloud-based system based on the user-specific cloud infrastructure, and a virtual representation display module configured to output the interactive three-dimensional visualization of the first cloud-based system via at least one type of interface.

Abstract: An apparatus in one embodiment comprises a processing platform that includes a plurality of processing devices each comprising a processor coupled to a memory. The processing platform is configured to implement at least a portion of at least a first cloud-based system. The processing platform comprises a modelling language extension module configured to implement artificial intelligence-based decision points into a process flow and compile context attributes associated with the artificial intelligence-based decision points based on data from artificial intelligence systems.

Abstract: Methods, apparatus, and processor-readable storage media for management of unit-based virtual accelerator resources are provided herein. An example computer-implemented method includes obtaining multiple accelerator device resource consumption measurements, wherein the measurements represent multiple accelerator device resource types consumed by one or more accelerator devices over a defined temporal interval; computing a composite unit of measurement of accelerator device resource consumption, attributable to the one or more accelerator devices over the defined temporal interval, by normalizing the multiple accelerator device resource consumption measurements using a scaling factor that is based at least in part on one or more static aspects of the one or more accelerator devices; and outputting the composite unit of measurement to at least one user.

Abstract: An apparatus in one embodiment comprises a processing platform that includes a plurality of processing devices each comprising a processor coupled to a memory. The processing platform is configured to implement at least a portion of at least a first cloud-based system. The processing platform further comprises one or more integration adapters configured to implement multiple cloud resources onto the processing platform, a cloud services module configured to deploy one or more identified cloud services onto the processing platform, a processes module configured to deploy one or more identified business processes and one or more identified technical processes onto the processing platform, and an integration middleware configured to automate ad hoc execution of at least one of the one or more cloud services, the one or more business processes, and the one or more technical processes, in conjunction with at least one of the implemented cloud resources.

Abstract: An apparatus in one embodiment comprises a processing platform that includes a plurality of processing devices each comprising a processor coupled to a memory. The platform is configured to implement at least a portion of at least a first cloud-based system. The platform comprises interfaces configured to enable interaction between actors and the platform, wherein the actors comprise cloud-based vendors and customers of resource offerings. The platform additionally comprises a repository configured to maintain individual resource offerings and data pertaining thereto, and a matchmaking module configured to match individual resource offerings based on associated customer attributes.

Abstract: An apparatus in one embodiment comprises a processing platform that includes a plurality of processing devices each comprising a processor coupled to a memory. The processing platform is configured to implement at least a portion of at least a first cloud-based system. The processing platform further comprises a smart agent engine configured to ingest datasets and related workflows in connection with service delivery operations and normalize the ingested datasets and workflows. The processing platform further comprises an analytics engine configured to generate metrics by applying machine learning algorithms to the normalized datasets and workflows, and generate an enhanced version of the normalized datasets and/or workflows by encompassing at least one inset and/or outflow based on the metrics and one or more algorithms. Also, the processing platform further comprises a decision support module configured to output the ingested datasets, the ingested workflows, and the enhanced dataset and/or workflow.

Abstract: An apparatus in one embodiment comprises a processing platform that includes a plurality of processing devices each comprising a processor coupled to a memory. The processing platform is configured to implement at least a portion of at least a first cloud-based system. The processing platform further comprises a workload profiler configured to create an initial profile for a workload in response to a user migration request, a workload transformation engine configured to transform the initial profile into a multi-cloud migration profile, wherein the multi-cloud migration profile comprises a plan for migrating the workload, a workload data bus configured to migrate data pertaining to the workload in accordance with the multi-cloud migration profile, and a service transition bus configured to migrate one or more services pertaining to the workload in accordance with the multi-cloud migration profile.

Abstract: Methods, apparatus, and processor-readable storage media for management of unit-based virtual accelerator resources are provided herein. An example computer-implemented method includes obtaining multiple accelerator device resource consumption measurements, wherein the measurements represent multiple accelerator device resource types consumed by one or more accelerator devices over a defined temporal interval; computing a composite unit of measurement of accelerator device resource consumption, attributable to the one or more accelerator devices over the defined temporal interval, by normalizing the multiple accelerator device resource consumption measurements using a scaling factor that is based at least in part on one or more static aspects of the one or more accelerator devices; and outputting the composite unit of measurement to at least one user.