Abstract: The system and method for determining fuzzy cause and effect relationships in an intelligent workload management system described herein may combine potential causes and effects captured from various different sources associated with an information technology infrastructure with substantially instantaneous feedback mechanisms and other knowledge sources. As such, fuzzy correlation logic may then be applied to the combined information to determine potential cause and effect relationships and thereby diagnose problems and otherwise manage interactions that occur in the infrastructure. For example, information describing potential causes and potential effects associated with an operational state of the infrastructure may be captured and combined, and any patterns among the information that describes the multiple potential causes and effects may then be identified.

Abstract: Techniques for security auditing of cloud resources are provided. A virtual machine (VM) is captured and isolated when a session indicates that a session with the VM has terminated. Security checks are executed against the VM in the isolated environment. Results from the security checks are then reported.

Abstract: File mapping and converting for dynamic disk personalization for multiple platforms are provided. A volatile file operation is detected in a first platform. The file supported by the first platform. A determination is made that the file is sharable with a second platform. The volatile operation is performed on the file in the first platform and the modified file is converted to a second file supported by the second platform. The modified file and second file are stored in a personalized disk for a user. The personalized disk is used to modify base images for VMs of the user when the user accesses the first platform or second platform. The modified file is available within the first platform and the second file is available within the second platform.

Abstract: Techniques for managing service definitions in an intelligent workload management system are provided. Workloads and software products are assembled as a single unit with custom configuration settings. The single unit represents a recallable and reusable service definition for a service that can be custom deployed within designated cloud processing environments.

Abstract: Techniques for workload coordination are provided. An automated discovery service identifies resources with hardware and software specific dependencies for a workload. The dependencies are made generic and the workload and its configuration with the generic dependencies are packaged. At a target location, the packaged workload is presented and the generic dependencies automatically resolved with new hardware and software dependencies of the target location. The workload is then automatically populated in the target location.

Abstract: The system and method for determining fuzzy cause and effect relationships in an intelligent workload management system described herein may combine potential causes and effects captured from various different sources associated with an information technology infrastructure with substantially instantaneous feedback mechanisms and other knowledge sources. As such, fuzzy correlation logic may then be applied to the combined information to determine potential cause and effect relationships and thereby diagnose problems and otherwise manage interactions that occur in the infrastructure. For example, information describing potential causes and potential effects associated with an operational state of the infrastructure may be captured and combined, and any patterns among the information that describes the multiple potential causes and effects may then be identified.

Abstract: The system and method for determining fuzzy cause and effect relationships in an intelligent workload management system described herein may combine potential causes and effects captured from various different sources associated with an information technology infrastructure with substantially instantaneous feedback mechanisms and other knowledge sources. As such, fuzzy correlation logic may then be applied to the combined information to determine potential cause and effect relationships and thereby diagnose problems and otherwise manage interactions that occur in the infrastructure. For example, information describing potential causes and potential effects associated with an operational state of the infrastructure may be captured and combined, and any patterns among the information that describes the multiple potential causes and effects may then be identified.

Abstract: Techniques for toxic workload mapping are provided. A state of a target workload is recorded along with a configuration and state of an environment that is processing the workload. Micro valuations are taken, via statistical sampling, for metrics associated with the workload and for different combinations of resources within the environment. The sampling taken at micro second intervals. The valuations are aggregated to form an index representing a toxic mapping for the workload within the environment. The toxic mapping is mined, in view of policy, to provide conditions and scenarios that may be deemed problematic within the workload and/or environment.

Abstract: Techniques for identity and policy based routing are presented. A resource is initiated on a device with a resource identity and role assignments along with policies are obtained for the resource. A customized network is created for the resource using a device address for the device, the resource identity, the role assignments, and the policies.

Abstract: The system and method described herein may identify one or more virtual desktop extensions available in a cloud computing environment and launch virtual machine instances to host the available virtual desktop extensions in the cloud. For example, a virtual desktop extension manager may receive a virtual desktop extension request from a client desktop and determine whether authentication credentials for the client desktop indicate that the client desktop has access to the requested virtual desktop extension. In response to authenticating the client desktop, the virtual desktop extension manager may then launch a virtual machine instance to host the virtual desktop extension in the cloud and provide the client desktop with information for locally controlling the virtual desktop extension remotely hosted in the cloud.

Abstract: Techniques for security auditing of cloud resources are provided. A virtual machine (VM) is captured and isolated when a session indicates that a session with the VM has terminated. Security checks are executed against the VM in the isolated environment. Results from the security checks are then reported.

Abstract: The system and method described herein may identify one or more virtual desktop extensions available in a cloud computing environment and launch virtual machine instances to host the available virtual desktop extensions in the cloud. For example, a virtual desktop extension manager may receive a virtual desktop extension request from a client desktop and determine whether authentication credentials for the client desktop indicate that the client desktop has access to the requested virtual desktop extension. In response to authenticating the client desktop, the virtual desktop extension manager may then launch a virtual machine instance to host the virtual desktop extension in the cloud and provide the client desktop with information for locally controlling the virtual desktop extension remotely hosted in the cloud.

Abstract: Techniques for security auditing of cloud resources are provided. A virtual machine (VM) is captured and isolated when a session indicates that a session with the VM has terminated. Security checks are executed against the VM in the isolated environment. Results from the security checks are then reported.

Abstract: Techniques for automated and controlled cloud migration or bursting are provided. A schema for a first cloud in a first cloud processing environment is used to evaluate metrics against thresholds defined in the schema. When a threshold is reached other metrics for other clouds in second cloud processing environments are evaluated and a second cloud processing environment is selected. Next, a second cloud is cloned in the selected second cloud processing environment for the first cloud and traffic associated with the first cloud is automatically migrated to the cloned second cloud.

Abstract: File mapping and converting for dynamic disk personalization for multiple platforms are provided. A volatile file operation is detected in a first platform. The file supported by the first platform. A determination is made that the file is sharable with a second platform. The volatile operation is performed on the file in the first platform and the modified file is converted to a second file supported by the second platform. The modified file and second file are stored in a personalized disk for a user. The personalized disk is used to modify base images for VMs of the user when the user accesses the first platform or second platform. The modified file is available within the first platform and the second file is available within the second platform.

Abstract: File mapping and converting for dynamic disk personalization for multiple platforms are provided. A volatile file operation is detected in a first platform. The file supported by the first platform. A determination is made that the file is sharable with a second platform. The volatile operation is performed on the file in the first platform and the modified file is converted to a second file supported by the second platform. The modified file and second file are stored in a personalized disk for a user. The personalized disk is used to modify base images for VMs of the user when the user accesses the first platform or second platform. The modified file is available within the first platform and the second file is available within the second platform.

Abstract: Techniques for validating services for deployment in an intelligent workload management system are provided. A service is created with workloads and software products. Test modules are integrated into the service to test each of the products. The service with the test modules is executed and test results are produced. The test results are compared against known results and a decision is made to deploy the service to a cloud processing environment or to require the service to be retested.

Abstract: Techniques for dynamic disk personalization are provided. A virtual image that is used to create an instance of a virtual machine (VM) is altered so that disk access operations are intercepted within the VM and redirected to a service that is external to the VM. The external service manages a personalized storage for a principal, the personalized storage used to personalize the virtual image without altering the virtual image.

Abstract: Techniques for auditing and controlling network services are provided. A proxy is interposed between a principal and a network service. Interactions between the principal and the service pass through the proxy. The proxy selectively raises events and evaluates policy based on the interactions for purposes of auditing and controlling the network service.

Abstract: Techniques for identity and policy based routing are presented. A resource is initiated on a device with a resource identity and role assignments along with policies are obtained for the resource. A customized network is created for the resource using a device address for the device, the resource identity, the role assignments, and the policies.