Abstract: An approach for allocating information technology (IT) resources in a networked computing environment (e.g., a cloud computing environment) based on physical location mapping is provided. Specifically, an IT allocation system assigns resources to a specific cloud pool based on the physical location of the resources. By mapping a given physical location (e.g., a defined region of a grid defining a datacenter) to a specific pool, and by enabling the tracking of a resource to a location within the datacenter, the approach can automatically assign a resource to a cloud pool based upon its physical location. Thus, the IT allocation system provides additional pool elasticity while easing the management burden.

Abstract: An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions include the user visiting online forums. The corrective actions cause a resolution of an instance of an error condition described in the error message and which specifies an error in an operation of a software application. Based on the monitored corrective actions, sources of information accessed by the user to resolve the error condition instance are determined. The sources include online forums visited by the user. After resolution of the error condition instance, another instance of the same error condition is detected, and in response, the error message is augmented with a summary of the sources including the online forums and/or hyperlinks that access the sources including the online forums. The augmented error message is presented to the user.

Abstract: An approach for allocating information technology (IT) resources in a networked computing environment (e.g., a cloud computing environment) based on physical location mapping is provided. Specifically, an IT allocation system assigns resources to a specific cloud pool based on the physical location of the resources. By mapping a given physical location (e.g., a defined region of a grid defining a datacenter) to a specific pool, and by enabling the tracking of a resource to a location within the datacenter, the approach can automatically assign a resource to a cloud pool based upon its physical location. Thus, the IT allocation system provides additional pool elasticity while easing the management burden.

Abstract: An approach for allocating information technology (IT) resources in a networked computing environment (e.g., a cloud computing environment) based on physical location mapping is provided. Specifically, an IT allocation system assigns resources to a specific cloud pool based on the physical location of the resources. By mapping a given physical location (e.g., a defined region of a grid defining a datacenter) to a specific pool, and by enabling the tracking of a resource to a location within the datacenter, the approach can automatically assign a resource to a cloud pool based upon its physical location. Thus, the IT allocation system provides additional pool elasticity while easing the management burden.

Abstract: An approach is provided for personalizing an error message for a user. A modified help system monitors interactions with the help system and includes instructions about error conditions. The instructions are in formats that match four learning styles indicating a preference for visual input, spoken verbal input, written verbal input, and a combination of visual and verbal input. Selections of content to resolve error conditions and types of interactions are recorded. Learning format, learning type, interactivity level, interactivity type, and semantic density of the selected content are determined. A learning style model is generated. Based on the model, the learning style of the user is determined to be one of the four learning styles. A predetermined error message describing a detected error condition is retrieved. The error message is augmented with an instruction in a format that matches the learning style of the user and is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions include the user visiting online forums. The corrective actions cause a resolution of an instance of an error condition described in the error message and which specifies an error in an operation of a software application. Based on the monitored corrective actions, sources of information accessed by the user to resolve the error condition instance are determined. The sources include online forums visited by the user. After resolution of the error condition instance, another instance of the same error condition is detected, and in response, the error message is augmented with a summary of the sources including the online forums and/or hyperlinks that access the sources including the online forums. The augmented error message is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions cause a resolution of an instance of a problem within a computer system. Based on the monitored corrective actions, sources of information accessed by the user to resolve the instance of the problem are determined. After resolution of the instance of the problem, another instance of the same problem is detected. In response to detecting the other instance of the problem, the error message is augmented with a summary of the sources of information and/or hyperlinks that access the sources of information. The augmented error message is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. A modified help system monitors interactions with the help system and includes instructions about error conditions. The instructions are in formats that match four learning styles indicating a preference for visual input, spoken verbal input, written verbal input, and a combination of visual and verbal input. Selections of content to resolve error conditions and types of interactions are recorded. Learning format, learning type, interactivity level, interactivity type, and semantic density of the selected content are determined. A learning style model is generated. Based on the model, the learning style of the user is determined to be one of the four learning styles. A predetermined error message describing a detected error condition is retrieved. The error message is augmented with an instruction in a format that matches the learning style of the user and is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. The usage of help content by the user to resolve error condition(s) is monitored. Attributes of the usage are determined. A learning style of the user is determined based on the attributes. An error condition is detected. The error message is augmented (i.e., personalized) with a communication and/or hyperlink that is compatible with the learning style of the user, and that is configured to assist the user with resolving the detected error condition. The augmented error message is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. The usage of help content by the user to resolve error condition(s) is monitored. Attributes of the usage are determined. A learning style of the user is determined based on the attributes. An error condition is detected. The error message is augmented (i.e., personalized) with a communication and/or hyperlink that is compatible with the learning style of the user, and that is configured to assist the user with resolving the detected error condition. The augmented error message is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions cause a resolution of an instance of a problem within a computer system. Based on the monitored corrective actions, sources of information accessed by the user to resolve the instance of the problem are determined. After resolution of the instance of the problem, another instance of the same problem is detected. In response to detecting the other instance of the problem, the error message is augmented with a summary of the sources of information and/or hyperlinks that access the sources of information. The augmented error message is presented to the user.

Abstract: An approach for allocating information technology (IT) resources in a networked computing environment (e.g., a cloud computing environment) based on physical location mapping is provided. Specifically, an IT allocation system assigns resources to a specific cloud pool based on the physical location of the resources. By mapping a given physical location (e.g., a defined region of a grid defining a datacenter) to a specific pool, and by enabling the tracking of a resource to a location within the datacenter, the approach can automatically assign a resource to a cloud pool based upon its physical location. Thus, the IT allocation system provides additional pool elasticity while easing the management burden.

Abstract: A computer identifies an available task assignment, which is location independent for completion, and determines if an assignee is available to perform work on the task assignment. The assignee's availability is based in part on information received from a mobile device of the assignee. When a change in availability is determined by the mobile device, the mobile device sends the assignee's availability information to the computer, indicating the change. If the computer determines that the assignee is available, then the computer sends the task assignment information to the mobile device of the assignee. If the computer determines the assignee is not available, then the computer sends the task assignment information to a delegate of the assignee. The computer monitors the completion of a task assignment. If the computer determines that a task assignment has not, or can not, be timely completed, then the task assignment is reassigned to a delegate.

Abstract: A computer identifies an available task assignment, which is location independent for completion, and determines if an assignee is available to perform work on the task assignment. The assignee's availability is based in part on information received from a mobile device of the assignee. When a change in availability is determined by the mobile device, the mobile device sends the assignee's availability information to the computer, indicating the change. If the computer determines that the assignee is available, then the computer sends the task assignment information to the mobile device of the assignee. If the computer determines the assignee is not available, then the computer sends the task assignment information to a delegate of the assignee. The computer monitors the completion of a task assignment. If the computer determines that a task assignment has not, or can not, be timely completed, then the task assignment is reassigned to a delegate.