Abstract: A computing system implemented method, in one embodiment, can include a cloud control module receiving a constraint for cloud architecture. In addition, the method can include the cloud control module receiving a plurality of cloud service provider capabilities. Furthermore, the method can include the cloud control module filtering the plurality of cloud service provider capabilities to identify a cloud service provider capable of satisfying the constraint. Moreover, the method can include the cloud control module outputting an instruction for a resource from the cloud service provider.

Abstract: A computing device implemented method, in one embodiment, can include a cloud transformation module transforming content for a compute platform. Additionally, the method can include a cloud control module receiving the content from the cloud transformation module. The method can also include the cloud control module provisioning a virtual machine appliance to form the compute platform. Furthermore, the method can include a cloud instantiation module executing the provisioning of the cloud control module. In addition, the method can include a cloud appliance module adding middleware to a virtual machine to create the virtual machine appliance. Moreover, the method can include a cloud virtualization module producing a virtualized representation of the compute platform.

Abstract: A computing system implemented method, in one embodiment, can include a cloud control module receiving a constraint for cloud architecture. In addition, the method can include the cloud control module receiving a plurality of cloud service provider capabilities. Furthermore, the method can include the cloud control module filtering the plurality of cloud service provider capabilities to identify a cloud service provider capable of satisfying the constraint. Moreover, the method can include the cloud control module outputting an instruction for a resource from the cloud service provider.

Abstract: A computing device implemented method, in one embodiment, can include a cloud transformation module transforming content for a compute platform. Additionally, the method can include a cloud control module receiving the content from the cloud transformation module. The method can also include the cloud control module provisioning a virtual machine appliance to form the compute platform. Furthermore, the method can include a cloud instantiation module executing the provisioning of the cloud control module. In addition, the method can include a cloud appliance module adding middleware to a virtual machine to create the virtual machine appliance. Moreover, the method can include a cloud virtualization module producing a virtualized representation of the compute platform.

Abstract: A computing system implemented method, in one embodiment, can include a cloud control module receiving a constraint for cloud architecture. In addition, the method can include the cloud control module receiving a plurality of cloud service provider capabilities. Furthermore, the method can include the cloud control module filtering the plurality of cloud service provider capabilities to identify a cloud service provider capable of satisfying the constraint. Moreover, the method can include the cloud control module outputting an instruction for a resource from the cloud service provider.

Abstract: A computing device implemented method, in one embodiment, can include a cloud transformation module transforming content for a compute platform. Additionally, the method can include a cloud control module receiving the content from the cloud transformation module. The method can also include the cloud control module provisioning a virtual machine appliance to form the compute platform. Furthermore, the method can include a cloud instantiation module executing the provisioning of the cloud control module. In addition, the method can include a cloud appliance module adding middleware to a virtual machine to create the virtual machine appliance. Moreover, the method can include a cloud virtualization module producing a virtualized representation of the compute platform.

Abstract: A computing system implemented method, in one embodiment, can include a cloud control module receiving a constraint for cloud architecture. In addition, the method can include the cloud control module receiving a plurality of cloud service provider capabilities. Furthermore, the method can include the cloud control module filtering the plurality of cloud service provider capabilities to identify a cloud service provider capable of satisfying the constraint. Moreover, the method can include the cloud control module outputting an instruction for a resource from the cloud service provider.

Abstract: A computing system implemented method, in one embodiment, can include a cloud control module receiving a constraint for cloud architecture. In addition, the method can include the cloud control module receiving a plurality of cloud service provider capabilities. Furthermore, the method can include the cloud control module filtering the plurality of cloud service provider capabilities to identify a cloud service provider capable of satisfying the constraint. Moreover, the method can include the cloud control module outputting an instruction for a resource from the cloud service provider.

Abstract: A system is described for providing a cloud computing assessment tool. The system may include a memory, an interface, and a processor. The processor may receive a data center configuration from the user. The data center configuration may include a compute and storage capacity. The processor may determine a cloud computing configuration equivalent to the data center configuration. The processor may identify a time period for transitioning from the data center to cloud computing. The processor may identify a plurality of trend values representing changes in the compute capacity and storage capacity over the period of time. The processor may generate a strategy to transition from the data center to cloud computing over the period of time. The strategy may account for the changes in the compute capacity and the storage capacity. The processor may provide a graphical output and a numerical output of the strategy to the user.

Abstract: A system is described for monitoring the energy efficiency of a technology component. The system may include a memory, an interface, and a processor. The memory may store a baseline power consumption value for a plurality of operating states of a technology component. The interface may communicate with a device of a user. The processor may monitor the technology component to determine a current power consumption value and a current operating state of the technology component. The processor may determine the baseline power consumption value corresponding to the current operating state. The processor may determine whether the current power consumption value is within a threshold of the baseline power consumption value. The processor may provide an alert to a device of the user if the current power consumption value of the technology component is not within the threshold of the baseline power consumption value.

Abstract: A system is described for assembling a behavior model of a technology component. The system may include a memory, and a processor. The memory may store a behavior model of a technology component. The processor may to monitor the technology component over a period of time to determine a plurality of parameter values associated with each state of a plurality of states of the technology component. The processor may process the plurality of parameter values associated with each state to determine a baseline parameter value for each state. The processor may assemble the behavior model for the technology component. The behavior model may include each state, the baseline parameter value for each state, and an association between each state and the baseline parameter value for each state. The processor may store the behavior model of the technology component in the memory.

Abstract: A system is described for providing strategies for increasing the efficiency of data centers. The system may include a memory, an interface, and a processor. The memory may store a historical dataset, a profile and an initial configuration of a data center. The interface may communicate with a user. The processor may identify the historical dataset and receive the profile and the initial configuration from the user. The user may select a data center initiative and a reduction factor. The processor may determine a subset of the historical dataset that describes data centers with a similar profile as the initial data center. The processor may process the initial configuration, the subset of the historical dataset and the selected initiative to determine a recommended configuration. The recommended configuration may be able to achieve the selected reduction in energy use. The processor may provide the recommended configuration to the user.

Abstract: A computing system implemented method, in one embodiment, can include a cloud control module receiving a constraint for cloud architecture. In addition, the method can include the cloud control module receiving a plurality of cloud service provider capabilities. Furthermore, the method can include the cloud control module filtering the plurality of cloud service provider capabilities to identify a cloud service provider capable of satisfying the constraint. Moreover, the method can include the cloud control module outputting an instruction for a resource from the cloud service provider.

Abstract: A system is described for providing a cloud computing assessment tool. The system may include a memory, an interface, and a processor. The processor may receive a data center configuration from the user. The data center configuration may include a compute and storage capacity. The processor may determine a cloud computing configuration equivalent to the data center configuration. The processor may identify a time period for transitioning from the data center to cloud computing. The processor may identify a plurality of trend values representing changes in the compute capacity and storage capacity over the period of time. The processor may generate a strategy to transition from the data center to cloud computing over the period of time. The strategy may account for the changes in the compute capacity and the storage capacity. The processor may provide a graphical output and a numerical output of the strategy to the user.

Abstract: A computing device implemented method, in one embodiment, can include a cloud transformation module transforming content for a compute platform. Additionally, the method can include a cloud control module receiving the content from the cloud transformation module. The method can also include the cloud control module provisioning a virtual machine appliance to form the compute platform. Furthermore, the method can include a cloud instantiation module executing the provisioning of the cloud control module. In addition, the method can include a cloud appliance module adding middleware to a virtual machine to create the virtual machine appliance. Moreover, the method can include a cloud virtualization module producing a virtualized representation of the compute platform.

Abstract: A system is described for providing a cloud computing assessment tool. The system may include a memory, an interface, and a processor. The processor may receive a data center configuration from the user. The data center configuration may include a compute and storage capacity. The processor may determine a cloud computing configuration equivalent to the data center configuration. The processor may identify a time period for transitioning from the data center to cloud computing. The processor may identify a plurality of trend values representing changes in the compute capacity and storage capacity over the period of time. The processor may generate a strategy to transition from the data center to cloud computing over the period of time. The strategy may account for the changes in the compute capacity and the storage capacity. The processor may provide a graphical output and a numerical output of the strategy to the user.

Abstract: A system is described for providing a cloud computing assessment tool. The system may include a memory, an interface, and a processor. The processor may receive a data center configuration from the user. The data center configuration may include a compute and storage capacity. The processor may determine a cloud computing configuration equivalent to the data center configuration. The processor may identify a time period for transitioning from the data center to cloud computing. The processor may identify a plurality of trend values representing changes in the compute capacity and storage capacity over the period of time. The processor may generate a strategy to transition from the data center to cloud computing over the period of time. The strategy may account for the changes in the compute capacity and the storage capacity. The processor may provide a graphical output and a numerical output of the strategy to the user.

Abstract: A system is described for monitoring the energy efficiency of a technology component. The system may include a memory, an interface, and a processor. The memory may store a baseline power consumption value for a plurality of operating states of a technology component. The interface may communicate with a device of a user. The processor may monitor the technology component to determine a current power consumption value and a current operating state of the technology component. The processor may determine the baseline power consumption value corresponding to the current operating state. The processor may determine whether the current power consumption value is within a threshold of the baseline power consumption value. The processor may provide an alert to a device of the user if the current power consumption value of the technology component is not within the threshold of the baseline power consumption value.

Abstract: A system is described for assembling a behavior model of a technology component. The system may include a memory, and a processor. The memory may store a behavior model of a technology component. The processor may to monitor the technology component over a period of time to determine a plurality of parameter values associated with each state of a plurality of states of the technology component. The processor may process the plurality of parameter values associated with each state to determine a baseline parameter value for each state. The processor may assemble the behavior model for the technology component. The behavior model may include each state, the baseline parameter value for each state, and an association between each state and the baseline parameter value for each state. The processor may store the behavior model of the technology component in the memory.

Abstract: A system is described for providing strategies for increasing the efficiency of data centers. The system may include a memory, an interface, and a processor. The memory may store a historical dataset, a profile and an initial configuration of a data center. The interface may communicate with a user. The processor may identify the historical dataset and receive the profile and the initial configuration from the user. The user may select a data center initiative and a reduction factor. The processor may determine a subset of the historical dataset that describes data centers with a similar profile as the initial data center. The processor may process the initial configuration, the subset of the historical dataset and the selected initiative to determine a recommended configuration. The recommended configuration may be able to achieve the selected reduction in energy use. The processor may provide the recommended configuration to the user.