Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: An apparatus in one embodiment comprises at least one processing device having a processor coupled to a memory configured to implement a plurality of virtual computing resources including a first subset providing a management network, a second subset providing partner zones, and a third subset providing customer service enclaves. The management network is configured to provision and control communication between partner zones and customer service enclaves. A given partner zone associated with a given partner is configured to provision partner-controlled services of the given partner to customer environments via the customer service enclaves. A given customer service enclave associated with a given customer is configured to activate the given partner for a given customer environment associated with the given customer to enable provisioning of the partner-controlled services of the given partner from the given partner zone to the given customer environment.

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 at least one processing device having a processor coupled to a memory configured to implement a plurality of virtual computing resources including a first subset providing a management network, a second subset providing partner zones, and a third subset providing customer service enclaves. The management network is configured to provision and control communication between partner zones and customer service enclaves. A given partner zone associated with a given partner is configured to provision partner-controlled services of the given partner to customer environments via the customer service enclaves. A given customer service enclave associated with a given customer is configured to activate the given partner for a given customer environment associated with the given customer to enable provisioning of the partner-controlled services of the given partner from the given partner zone to the given customer environment.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: In one embodiment, an apparatus can include a monitoring module configured to send an indicator representing that performance of a virtual resource satisfies a threshold condition. The apparatus can also include a management module configured to move a set of virtual resources including the virtual resource from a first portion of data center hardware resources to a second portion of data center hardware resources mutually exclusive from the first portion of data center hardware resources in response to the indicator. The management module can be configured to define the set of virtual resources based on an operational relationship between the virtual resource and the remaining virtual resources included in the set of virtual resources.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: In one embodiment, an apparatus can include a monitoring module configured to send an indicator representing that performance of a virtual resource satisfies a threshold condition. The apparatus can also include a management module configured to move a set of virtual resources including the virtual resource from a first portion of data center hardware resources to a second portion of data center hardware resources mutually exclusive from the first portion of data center hardware resources in response to the indicator. The management module can be configured to define the set of virtual resources based on an operational relationship between the virtual resource and the remaining virtual resources included in the set of virtual resources.