Abstract: Disclosed are systems and methods for model based provisioning of applications and servers (both physical and virtual) to execute provisioned applications in a reliable and repeatable manner. Several aspects of a complex application management including compliance, change tracking, monitoring, discovery, processing steps, CMDB integration are disclosed within a comprehensive hierarchy of definition templates forming a model. This model can then be used at provisioning time to instantiate a compliant instance of the provisioned application. This model can also be used at run-time for managing run-time aspects of the provisioned application. Additionally, the model based approach can help track applications even when or if applications drift from their intended design and policies for use.

Abstract: Disclosed is a method of managing computer resources in a dynamic computing environment. The method includes identifying available resources from an available pool based on an augmented model, the available pool including resources unallocated resources, allocating the identified available resources in accordance with the augmented model, identifying reserve resources from a reserve pool based on the augmented model, the reserve pool including resources not allocated and not configured, and upon determining the available pool includes a number of resources below a threshold, replenishing the available pool with the identified reserve resources.

Abstract: The embodiments may provide a data processing apparatus for controlling service resource allocation. The data processing apparatus including a resource hints controller configured to obtain a resource control request before a task is to be executed on a virtual machine having resources allocated to a processing unit, a memory unit and a storage unit. The resource hints controller is configured to obtain a usage of the resources allocated to at least one of the processing unit, the memory unit and the storage unit of the virtual machine, and increase the resources allocated to the at least one of the processing unit, the memory unit and the storage unit in response to the resource control request based on the usage being equal to or above a threshold level.

Abstract: Disclosed is a method of managing computer resources in a dynamic computing environment. The method includes identifying available resources from an available pool based on an augmented model, the available pool including resources unallocated resources, allocating the identified available resources in accordance with the augmented model, identifying reserve resources from a reserve pool based on the augmented model, the reserve pool including resources not allocated and not configured, and upon determining the available pool includes a number of resources below a threshold, replenishing the available pool with the identified reserve resources.

Abstract: Disclosed are methods and systems to automate the provisioning and deployment of application instances within a heterogeneous data center. In one embodiment, the application provisioning is performed based upon a blueprint and deployment model defining requirements of the provisioned application. In another embodiment, the totality of available resources for provisioning is divided into different segments. When resources are requested and assigned to an incoming provisioning request, the resource pool may be refreshed or augmented as defined by thresholds or forecasting of user needs. The resource pool may be refreshed by recapturing allocated resources that are no longer in use or by configuring resources taken from the reserve. Further, when reserve resources are not available or are below a minimum reserve threshold, capacity planning actions may be initiated or advised.

Abstract: In a cloud computing environment customers of the cloud believe they have instantaneous access to unlimited resources however to satisfy this with finite resources there are times when resources could have to be acquired from an external cloud with potentially different security capabilities and performance capabilities. A method and system are therefore disclosed to reduce cost incurred while scaling to an external cloud to meet short term demand and to take into account security and performance requirements of customers. The proposed method and system provide automation and prediction capabilities to help with the decision of growing cloud resources or temporarily becoming a hybrid cloud. By “pre-bursting” the cloud in anticipation of a cloud burst the growth in resources can be predicted and performed (with security and load balancing in mind) prior to actual cloud consumer requests.

Abstract: Disclosed are methods and systems for intelligent resource pool management of heterogeneous datacenter resources. In one embodiment, intelligent resource pool management is utilized to assist in application provisioning performed based upon a blueprint and deployment model defining requirements of the provisioned application. In other embodiments, intelligent resource pool managers are configured to work in concert with other intelligent resource pool managers and/or a centralized provisioning engine. Resource pools may also be configured in a hierarchical manner whereby higher level resource pools may automatically draw resources from lower level resource pools as directed by one or more intelligent resource pool managers.

Abstract: The embodiments may provide a data processing apparatus for controlling service resource allocation. The data processing apparatus including a resource hints controller configured to obtain a resource control request before a task is to be executed on a virtual machine having resources allocated to a processing unit, a memory unit and a storage unit. The resource hints controller is configured to obtain a usage of the resources allocated to at least one of the processing unit, the memory unit and the storage unit of the virtual machine, and increase the resources allocated to the at least one of the processing unit, the memory unit and the storage unit in response to the resource control request based on the usage being equal to or above a threshold level.

Abstract: In a cloud computing environment customers of the cloud believe they have instantaneous access to unlimited resources however to satisfy this with finite resources there are times when resources could have to be acquired from an external cloud with potentially different security capabilities and performance capabilities. A method and system are therefore disclosed to reduce cost incurred while scaling to an external cloud to meet short term demand and to take into account security and performance requirements of customers. The proposed method and system provide automation and prediction capabilities to help with the decision of growing cloud resources or temporarily becoming a hybrid cloud. By “pre-bursting” the cloud in anticipation of a cloud burst the growth in resources can be predicted and performed (with security and load balancing in mind) prior to actual cloud consumer requests.

Abstract: Disclosed are systems and methods for model based provisioning of applications and servers (both physical and virtual) to execute provisioned applications in a reliable and repeatable manner. Several aspects of a complex application management including compliance, change tracking, monitoring, discovery, processing steps, CMDB integration are disclosed within a comprehensive hierarchy of definition templates forming a model. This model can then be used at provisioning time to instantiate a compliant instance of the provisioned application. This model can also be used at run-time for managing run-time aspects of the provisioned application. Additionally, the model based approach can help track applications even when or if applications drift from their intended design and policies for use.

Abstract: Disclosed are methods and systems to automate the provisioning and deployment of application instances within a heterogeneous data center. In one embodiment, the application provisioning is performed based upon a blueprint and deployment model defining requirements of the provisioned application. In another embodiment, the totality of available resources for provisioning is divided into different segments. When resources are requested and assigned to an incoming provisioning request, the resource pool may be refreshed or augmented as defined by thresholds or forecasting of user needs. The resource pool may be refreshed by recapturing allocated resources that are no longer in use or by configuring resources taken from the reserve. Further, when reserve resources are not available or are below a minimum reserve threshold, capacity planning actions may be initiated or advised.

Abstract: Disclosed are methods and systems for intelligent resource pool management of heterogeneous datacenter resources. In one embodiment, intelligent resource pool management is utilized to assist in application provisioning performed based upon a blueprint and deployment model defining requirements of the provisioned application. In other embodiments, intelligent resource pool managers are configured to work in concert with other intelligent resource pool managers and/or a centralized provisioning engine. Resource pools may also be configured in a hierarchical manner whereby higher level resource pools may automatically draw resources from lower level resource pools as directed by one or more intelligent resource pool managers.

Abstract: Methods and systems for managing and analyzing multi-dimensional data are provided. Example embodiments provide a Meta-Object Data Management System “MODMS,” which enables users to arrange and to rearrange the hierarchical relationships of the data on an ad-hoc basis and allows the data to be analyzed using any set of attributes (dimensions) while the system is running. The MODMS represents heterogeneous data in a normalized (standardized) fashion using an object type management system that allows the coercion of one type of object into another different type of object and automatically resolves attribute dependencies. The MODMS supports object transitions for transforming an object from one type to another based upon meeting a defined set of criteria and subject to approval by designated entities. In one embodiment, the MODMS is used to implement an enterprise portfolio management system.

Abstract: Methods and systems for managing and analyzing multi-dimensional data are provided. Example embodiments provide a Meta-Object Data Management System “MODMS,” which enables users to arrange and to rearrange the hierarchical relationships of the data on an ad-hoc basis and allows the data to be analyzed using any set of attributes (dimensions) while the system is running. The MODMS represents heterogeneous data in a normalized (standardized) fashion using an object type management system that allows the coercion of one type of object into another different type of object and automatically resolves attribute dependencies. The MODMS supports object transitions for transforming an object from one type to another based upon meeting a defined set of criteria and subject to approval by designated entities. In one embodiment, the MODMS is used to implement an enterprise portfolio management system.