Bmc Software, Inc.

Manikantan Narender Nath

Suhas A Kelkar

Abhijit Sharma

Monish Mangalkumar Darda

Steve Wong

Karanbir Gujral

Komal K Shah

Rohit Kashikar

Monish Darda

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.

Application blueprint and deployment model for dynamic business service management (BSM)

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.

Automating application provisioning for heterogeneous datacenter environments

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.

According to one general aspect, a method of semi-automatically discovering and generating useful service blueprints may include collecting, by an apparatus, a plurality of configuration information sets regarding a plurality of network service applications. The method may also include converting, by the apparatus, the plurality of configuration information sets into one or more normalized application instance graphs. The method may further include generating, by the apparatus, one or more application blueprint files based, at least in part, upon the one or more normalized application instance graphs.

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Pune, India

Manikantan Narender Nath