Abstract: Some illustrative embodiments of an instillation assembly for treating a tissue site may include a fluid distribution lumen and a fluid hub that may define a fluid instillation pathway. The fluid distribution lumen may be defined by a first film layer and a second film layer, and the fluid hub may be positioned in fluid communication with the fluid distribution lumen. The instillation assembly may be used in combination with a reduced-pressure assembly that may define a reduced-pressure pathway separate from the fluid instillation pathway.

Abstract: An approach for forecasting demand. The approach includes a method that includes receiving one or more variables associated with an event. The method further includes generating, by at least one computing device, a model to forecast future demand based on the one or more variables. The method further includes determining, by the at least one computing device, a load to provision one or more servers to meet the future demand. The load is based on the model.

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: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

Abstract: A future event that is likely to occur in a production SDI at a future time is forecasted by analyzing operational data from the production SDI. Using a repository of correlation records, a set of configurations is forecasted likely to change in response to the future event. Corresponding to a configuration from the forecasted set of configurations, an instruction is constructed for a testing SDI. The testing SDI is caused by the instruction to initialize a test VM in the testing SDI, where the test VM is specifically configured to test a change in the configuration from the forecasted set of configurations, and where the test VM is ready to test the change when the future event occurs at the future time.

Abstract: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

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 method of forward link power control in a communications system comprises: grouping a plurality of user terminals into a plurality of groups, at least one of which comprises more than one of the user terminals; for each said group, determining a corresponding forward link power level required to satisfy an aggregate demand of the group; and assigning one or more forward link carriers to the group, with the corresponding power level.

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 future event that is likely to occur in a production SDI at a future time is forecasted by analyzing operational data from the production SDI. Using a repository of correlation records, a set of configurations is forecasted likely to change in response to the future event. Corresponding to a configuration from the forecasted set of configurations, an instruction is constructed for a testing SDI. The testing SDI is caused by the instruction to initialize a test VM in the testing SDI, where the test VM is specifically configured to test a change in the configuration from the forecasted set of configurations, and where the test VM is ready to test the change when the future event occurs at the future time.

Abstract: An approach for forecasting demand. The approach includes a method that includes receiving one or more variables associated with an event. The method further includes generating, by at least one computing device, a model to forecast future demand based on the one or more variables. The method further includes determining, by the at least one computing device, a load to provision one or more servers to meet the future demand. The load is based on the model.

Abstract: An approach for forecasting demand. The approach includes a method that includes receiving one or more variables associated with an event. The method further includes generating, by at least one computing device, a model to forecast future demand based on the one or more variables. The method further includes determining, by the at least one computing device, a load to provision one or more servers to meet the future demand. The load is based on the model.

Abstract: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

Abstract: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

Abstract: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

Abstract: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

Abstract: A method of forward link power control in a communications system comprises: grouping a plurality of user terminals into a plurality of groups, at least one of which comprises more than one of the user terminals; for each said group, determining a corresponding forward link power level required to satisfy an aggregate demand of the group; and assigning one or more forward link carriers to the group, with the corresponding power level.

Abstract: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

Abstract: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

Abstract: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.