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: 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: 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 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.