Abstract: According to one embodiment, a method, computer system, and computer program product for provisioning a tag schema. The embodiment may include determining data types for tag-keys within an existing ecosystem of tags. Each tag of the existing ecosystem comprises a tag-key and a tag-value. The embodiment may include performing pairwise clustering of the tags within the ecosystem. The embodiment may include identifying a main tag-key within each cluster of tags. The embodiment may include grouping the clusters into a broader category. The embodiment may include providing a tag schema recommendation for the ecosystem based on the grouped clusters.

Abstract: A machine learning assessment system is provided. The system identifies multiple datasets and multiple machine learning (ML) modeling algorithms based on the client profile. The system assesses a cost of data collection for each dataset of the multiple datasets. The system assesses a performance metric for each ML modeling algorithm of the multiple modeling algorithms. The system recommends a dataset from the multiple datasets and an ML modeling algorithm from the multiple ML modeling algorithm based on the assessed costs of data collection for the multiple datasets and the assessed performance metrics for the multiple ML modeling algorithms.

Abstract: According to one embodiment, a method, computer system, and computer program product for provisioning a tag schema. The embodiment may include determining data types for tag-keys within an existing ecosystem of tags. Each tag of the existing ecosystem comprises a tag-key and a tag-value. The embodiment may include performing pairwise clustering of the tags within the ecosystem. The embodiment may include identifying a main tag-key within each cluster of tags. The embodiment may include grouping the clusters into a broader category. The embodiment may include providing a tag schema recommendation for the ecosystem based on the grouped clusters.

Abstract: A system, computer program product, and method to deriving a cost model and dynamic adjustment of the derived model responsive to dynamic modification of one or more of the resources in a hybrid shared resource environment. Resources and corresponding configuration information are collected while monitoring runtime utilization of resource performance. As changes to the resources are discovered, the changes are subject to an assessment. A hybrid cost model is derived and configured to account for the one or more resources. The derived hybrid cost model is leveraged to conduct a multi-dimensional resource evaluation of the assessed changed configuration information. Responsive to the multi-dimensional evaluation, a generated resource utilization optimization of the one or more resources is selectively implemented.

Abstract: A system, computer program product, and method to deriving a cost model and dynamic adjustment of the derived model responsive to dynamic modification of one or more of the resources in a hybrid shared resource environment. Resources and corresponding configuration information are collected while monitoring runtime utilization of resource performance. As changes to the resources are discovered, the changes are subject to an assessment. A hybrid cost model is derived and configured to account for the one or more resources. The derived hybrid cost model is leveraged to conduct a multi-dimensional resource evaluation of the assessed changed configuration information. Responsive to the multi-dimensional evaluation, a generated resource utilization optimization of the one or more resources is selectively implemented.

Abstract: A machine learning assessment system is provided. The system identifies multiple datasets and multiple machine learning (ML) modeling algorithms based on the client profile. The system assesses a cost of data collection for each dataset of the multiple datasets. The system assesses a performance metric for each ML modeling algorithm of the multiple modeling algorithms. The system recommends a dataset from the multiple datasets and an ML modeling algorithm from the multiple ML modeling algorithm based on the assessed costs of data collection for the multiple datasets and the assessed performance metrics for the multiple ML modeling algorithms.

Abstract: A cloud services brokerage platform system includes a virtual data center (VDC) and an architecture management interface. The virtual data center (VDC) includes a plurality of resource groups. Each one of the resource groups includes one or more VDC resources. Each one of the VDC resources is associated with a respective set of resource group specification parameters. The architecture management interface enables an architectural layout of the one or more VDC resources to be displayed. The architectural layout includes a visual depiction of the one or more VDC resources of each one of the resource groups. An arrangement of the visual depiction is dependent upon the respective set of resource group specification parameters.

Abstract: Implementation of cross provider security in accordance with the disclosures made herein enables users of a system (e.g., a cloud services brokerage platform) in a cloud environment provides for system-managed provisioning and management of keys to cloud resources thereby allowing the user to manage data security and enable secured access to their cloud resources. To this end, cross provider security management functionality in accordance with the disclosures made herein can include provisioning system-generated keys across different regions in a provider, provisioning cloud brokerage system-generated keys across different providers; and associating (i.e., managing) the keys from the system to a hardware security module. The keys can be managed by/though a variety of different resources (e.g., brokering system, VDC, user group concepts, etc).

Abstract: A computer-implemented method of implementing comparison of cloud service provider package offerings comprises a plurality of operations. An operation of creating a cloud services architecture specification defining a cloud infrastructure that supports deployment of an application thereto is performed. An operation of determining a cloud services offering price for each one of the plurality of cloud service offerings to characterize implementation of the cloud infrastructure using cloud services thereof on a basis of pricing of such cloud services is performed. Determining the cloud services offering price for a particular one of the cloud service offerings includes mapping the cloud services architecture specification to cloud service pricing information for the particular one of the cloud service offerings.

Abstract: A system configured to facilitate brokering hybrid cloud services selects information requests for characterizing an information technology application. The system responses to the information requests and determines a plurality of sets of the responses each used for deriving a value of a respective one of a plurality of factor functions. The system determines a plurality of assessment results each derived using values for of a respective set of the factor functions. Each one of the assessment results characterizes a respective aspect of deploying the information technology application within a cloud environment.

Abstract: A cloud services brokerage platform system includes a virtual data center (VDC) and an architecture management interface. The virtual data center (VDC) includes a plurality of resource groups. Each one of the resource groups includes one or more VDC resources. Each one of the VDC resources is associated with a respective set of resource group specification parameters. The architecture management interface enables an architectural layout of the one or more VDC resources to be displayed. The architectural layout includes a visual depiction of the one or more VDC resources of each one of the resource groups. An arrangement of the visual depiction is dependent upon the respective set of resource group specification parameters.

Abstract: A cloud services brokerage platform system includes a virtual data center (VDC) and an architecture management interface. The virtual data center (VDC) includes a plurality of resource groups. Each one of the resource groups includes one or more VDC resources. Each one of the VDC resources is associated with a respective set of resource group specification parameters. The architecture management interface enables an architectural layout of the one or more VDC resources to be displayed. The architectural layout includes a visual depiction of the one or more VDC resources of each one of the resource groups. An arrangement of the visual depiction is dependent upon the respective set of resource group specification parameters.

Abstract: A cloud services brokerage platform system includes a virtual data center (VDC) and an architecture management interface. The virtual data center (VDC) includes a plurality of resource groups. Each one of the resource groups includes one or more VDC resources. Each one of the VDC resources is associated with a respective set of resource group specification parameters. The architecture management interface enables an architectural layout of the one or more VDC resources to be displayed. The architectural layout includes a visual depiction of the one or more VDC resources of each one of the resource groups. An arrangement of the visual depiction is dependent upon the respective set of resource group specification parameters.

Abstract: A pricing rule is created for governing a manner in which pricing of cloud services is adjusted. The pricing rule includes pricing rule configuration information defining an outcome of the pricing rule when applied to cloud service prices and a pricing rule context defining a boundary within which the pricing rule must be implemented to thereby cause the pricing rule to be applied to the cloud service prices. The pricing rule configuration information can specify a pricing adjustment mode, a type of price upon which the pricing rule is to be applied, an entity to which the outcome of pricing rule is to be allocated, and a category of charge upon which the pricing rule is to be applied. The pricing rule context can include a context basis and one or more context basis selections.

Abstract: Implementation of cross provider security in accordance with the disclosures made herein enables users of a system (e.g., a cloud services brokerage platform) in a cloud environment provides for system-managed provisioning and management of keys to cloud resources thereby allowing the user to manage data security and enable secured access to their cloud resources. To this end, cross provider security management functionality in accordance with the disclosures made herein can include provisioning system-generated keys across different regions in a provider, provisioning cloud brokerage system-generated keys across different providers; and associating (i.e., managing) the keys from the system to a hardware security module. The keys can be managed by/though a variety of different resources (e.g., brokering system, VDC, user group concepts, etc).

Abstract: A policy is created for governing a manner in which a cloud service account task is performed. The policy can include one or more policy rules and one or more different types of policy contexts. The one or more policy rules define one or more outcomes of the cloud service account task for different conditions when the policy is applied thereto. The one or more policy contexts specify one or more parameters that define a boundary within which the cloud service account task must be implemented to thereby cause the policy to be applied thereto.

Abstract: A non-transitory computer-readable storage medium has tangibly embodied thereon and accessible therefrom instructions interpretable by at least one data processing device. The instructions are configured for causing the at least one data processing device to perform a method comprising creating a resource group for providing cloud services, receiving a request to increase a quantity of the virtual machines of the resource group; and instantiating one or more additional virtual machines within the resource group in response to receiving the request. The resource group includes one or more virtual machines that all have virtual machine specifications of a particular configuration. Instantiating the one or more additional virtual machines includes providing each one of the one or more additional virtual machines with virtual machine specifications of the particular configuration.

Abstract: A system configured to facilitate brokering hybrid cloud services selects information requests for characterizing an information technology application. The system responses to the information requests and determines a plurality of sets of the responses each used for deriving a value of a respective one of a plurality of factor functions. The system determines a plurality of assessment results each derived using values for of a respective set of the factor functions. Each one of the assessment results characterizes a respective aspect of deploying the information technology application within a cloud environment.

Abstract: A computer-implemented method of implementing comparison of cloud service provider package offerings comprises a plurality of operations. An operation of creating a cloud services architecture specification defining a cloud infrastructure that supports deployment of an application thereto is performed. An operation of determining a cloud services offering price for each one of the plurality of cloud service offerings to characterize implementation of the cloud infrastructure using cloud services thereof on a basis of pricing of such cloud services is performed. Determining the cloud services offering price for a particular one of the cloud service offerings includes mapping the cloud services architecture specification to cloud service pricing information for the particular one of the cloud service offerings.

Abstract: A cloud services brokerage platform system includes a virtual data center (VDC) and an architecture management interface. The virtual data center (VDC) includes a plurality of resource groups. Each one of the resource groups includes one or more VDC resources. Each one of the VDC resources is associated with a respective set of resource group specification parameters. The architecture management interface enables an architectural layout of the one or more VDC resources to be displayed. The architectural layout includes a visual depiction of the one or more VDC resources of each one of the resource groups. An arrangement of the visual depiction is dependent upon the respective set of resource group specification parameters.