Abstract: Intelligent information adapter generation for service management. Managing selection of adapters from and adapter pool to use for collecting the service management information includes, based on adding a data source, selecting an adapter to use for collecting service management information from the added data source, the selecting including automatically creating and selecting a new adapter, the new adapter being created based on access information to access the added data source, a resource type of the portion of service management information collected from the added data source, and a desired performance indicator that the new adapter is to parse out from the portion of service management information that the new adapter collects.

Abstract: A method obtains a task tree for a deployment job to deploy application(s) to a compute infrastructure, the task tree indicating tasks to execute the deployment job. The method also obtains script(s) and configuration information for executing the script(s). The method simulates an installation process using the task tree and provides a refined task tree. The method invokes the installation process of the deployment job, the installation process including execution of the tasks of the deployment job and using the refined task tree. The method backtracks the installation process after recognizing an error, pausing the installation process and applying an adjustment to the refined task tree to resolve the error. The installation process resumes from a prior point using the refined task tree with the applied adjustment. Based on successful completion of the installation process, the method provides an adjusted refined task tree as an optimized task tree.

Abstract: Intelligent information adapter generation for service management. Managing selection of adapters from and adapter pool to use for collecting the service management information includes, based on adding a data source, selecting an adapter to use for collecting service management information from the added data source, the selecting including automatically creating and selecting a new adapter, the new adapter being created based on access information to access the added data source, a resource type of the portion of service management information collected from the added data source, and a desired performance indicator that the new adapter is to parse out from the portion of service management information that the new adapter collects.

Abstract: Intelligent information adapter generation for service management. Managing selection of adapters from and adapter pool to use for collecting the service management information includes, based on adding a data source, selecting an adapter to use for collecting service management information from the added data source, the selecting including automatically creating and selecting a new adapter, the new adapter being created based on access information to access the added data source, a resource type of the portion of service management information collected from the added data source, and a desired performance indicator that the new adapter is to parse out from the portion of service management information that the new adapter collects.

Abstract: An apparatus for optimizing network traffic which includes a host computer having virtual machines (VMs); a monitoring module to collect network traffic data from the VMs; an analysis engine to receive the network traffic data from the monitoring module and to calculate metric values pertaining to the network traffic data; a pattern module to store network traffic patterns having metric values and to provide the network traffic patterns to the analysis engine, the analysis engine compares the calculated metric values to the network traffic pattern metric values and provides an output of a result of the compare of the calculated metric values to the network pattern metric values; and responsive to receipt of the output from the analysis engine, an optimization module processes the output and provides an optimization action to the VMs to improve the flow of the network traffic between the VMs.

Abstract: Managing selection of adapters from and adapter pool to use for collecting the service management information includes, based on adding a data source, selecting an adapter to use for collecting service management information from the added data source, the selecting including automatically creating and selecting a new adapter, the new adapter being created based on access information to access the added data source, a resource type of the portion of service management information collected from the added data source, and a desired performance indicator that the new adapter is to parse out from the portion of service management information that the new adapter collects.

Abstract: A method obtains a task tree for a deployment job to deploy application(s) to a compute infrastructure, the task tree indicating tasks to execute the deployment job. The method also obtains script(s) and configuration information for executing the script(s). The method simulates an installation process using the task tree and provides a refined task tree. The method invokes the installation process of the deployment job, the installation process including execution of the tasks of the deployment job and using the refined task tree. The method backtracks the installation process after recognizing an error, pausing the installation process and applying an adjustment to the refined task tree to resolve the error. The installation process resumes from a prior point using the refined task tree with the applied adjustment. Based on successful completion of the installation process, the method provides an adjusted refined task tree as an optimized task tree.

Abstract: An apparatus for optimizing network traffic which includes a host computer having virtual machines (VMs); a monitoring module to collect network traffic data from the VMs; an analysis engine to receive the network traffic data from the monitoring module and to calculate metric values pertaining to the network traffic data; a pattern module to store network traffic patterns having metric values and to provide the network traffic patterns to the analysis engine, the analysis engine compares the calculated metric values to the network traffic pattern metric values and provides an output of a result of the compare of the calculated metric values to the network pattern metric values; and responsive to receipt of the output from the analysis engine, an optimization module processes the output and provides an optimization action to the VMs to improve the flow of the network traffic between the VMs.