A method and a system of hybrid data-and-model-driven hierarchical network reconfiguration are provided. Taking into account that the optimal operation structure of the power grid may change after a new energy is connected into the power grid in the distribution manner, this method combines the mathematical model of network reconfiguration and clustering with the deep learning model, and uses data recorded by the smart meter, to reconfigure the network in a hybrid data-and-model driving mode. This method proposes a network compression method and a hierarchical decompression method based on deep learning, and improves the efficiency of network reconfiguration by the way of distributed calculation and combination of on-line and off-line calculation.

An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The platform includes an adaptive energy data pipeline configured to communicate data across a set of nodes in a network. At least a subset of the set of nodes is configured, by at least one of a rule or an algorithm, to set at least one parameter of data communication associated with the adaptive energy data pipeline. The at least one parameter is based on a set of indicators of current network conditions in order to optimize energy used in the data communication.

Some embodiments of the invention provide a network forwarding element that can be dynamically reconfigured to adjust its data message processing to stay within a desired operating temperature or power consumption range. In some embodiments, the network forwarding element includes (1) a data-plane forwarding circuit (“data plane”) to process data tuples associated with data messages received by the IC, and (2) a control-plane circuit (“control plane”) for configuring the data plane forwarding circuit. The data plane includes several data processing stages to process the data tuples. The data plane also includes an idle-signal injecting circuit that receives from the control plane configuration data that the control plane generates based on the IC's temperature. Based on the received configuration data, the idle-signal injecting circuit generates idle control signals for the data processing stages. Each stage that receives an idle control signal enters an idle state during which the majority of the components of that stage do not perform any operations, which reduces the power consumed and temperature generated by that stage during its idle state.

Some embodiments of the invention provide a network forwarding element that can be dynamically reconfigured to adjust its data message processing to stay within a desired operating temperature or power consumption range. In some embodiments, the network forwarding element includes (1) a data-plane forwarding circuit (“data plane”) to process data tuples associated with data messages received by the IC, and (2) a control-plane circuit (“control plane”) for configuring the data plane forwarding circuit. The data plane includes several data processing stages to process the data tuples. The data plane also includes an idle-signal injecting circuit that receives from the control plane configuration data that the control plane generates based on the IC's temperature. Based on the received configuration data, the idle-signal injecting circuit generates idle control signals for the data processing stages. Each stage that receives an idle control signal enters an idle state during which the majority of the components of that stage do not perform any operations, which reduces the power consumed and temperature generated by that stage during its idle state.

Some embodiments of the invention provide a network forwarding element that can be dynamically reconfigured to adjust its data message processing to stay within a desired operating temperature or power consumption range. In some embodiments, the network forwarding element includes (1) a data-plane forwarding circuit (“data plane”) to process data tuples associated with data messages received by the IC, and (2) a control-plane circuit (“control plane”) for configuring the data plane forwarding circuit. The data plane includes several data processing stages to process the data tuples. The data plane also includes an idle-signal injecting circuit that receives from the control plane configuration data that the control plane generates based on the IC's temperature. Based on the received configuration data, the idle-signal injecting circuit generates idle control signals for the data processing stages. Each stage that receives an idle control signal enters an idle state during which the majority of the components of that stage do not perform any operations, which reduces the power consumed and temperature generated by that stage during its idle state.

Some embodiments of the invention provide a network forwarding element that can be dynamically reconfigured to adjust its data message processing to stay within a desired operating temperature or power consumption range. In some embodiments, the network forwarding element includes (1) a data-plane forwarding circuit (“data plane”) to process data tuples associated with data messages received by the IC, and (2) a control-plane circuit (“control plane”) for configuring the data plane forwarding circuit. The data plane includes several data processing stages to process the data tuples. The data plane also includes an idle-signal injecting circuit that receives from the control plane configuration data that the control plane generates based on the IC's temperature. Based on the received configuration data, the idle-signal injecting circuit generates idle control signals for the data processing stages. Each stage that receives an idle control signal enters an idle state during which the majority of the components of that stage do not perform any operations, which reduces the power consumed and temperature generated by that stage during its idle state.

Systems and methods for resonance aware performance management of processing devices. In one aspect, a method includes iteratively testing a performance operation for the processing device, wherein each iteration is performed at an iteration voltage level for a power delivery network. The performance operation is applied at different application periods and at the iteration voltage level for the iteration. If no failure condition is met, the iteration voltage is reduced and another iteration is done. Upon a failure occurring at a particular application period, an operational voltage level for the power delivery network that is based on the iteration voltage level for the iteration in which a failure condition was induced is selected, and application of the performance operation at the particular application period is precluded.

The present disclosure relates to an energy-efficient optimized computing offloading method for a vehicular edge computing network and a system thereof; the method comprises: calculating the energy efficiency cost EEC of local computing; calculating the energy efficiency cost EEC of mobile edge computing; determining an optimal offloading decision based on the energy efficiency cost of local computing and the energy efficiency cost of mobile edge computing; determining an optimal CPU frequency and an optimal transmit power of the vehicle based on the optimal offloading decision; and determining the optimal offloading time of the vehicle based on the optimal CPU frequency and the optimal transmit power of the vehicle. The method of the present disclosure can improve the computing offloading efficiency.

An electronic device including a memory is disclosed. The memory stores instructions controlling the electronic device to acquire information on a first external electronic device, access a server storing a software program related to the first external electronic device, receive at least a portion of the software program related to the first external electronic device from the server through the communication interface, install the at least a portion of the software program, transmit the at least a portion of the information on the first external electronic device and/or at least one part of the received at least a portion of the software program to a second external electronic device, and provide a user interface to the display using the installed at least a portion of the software program. The user interface is used for the second external electronic device to perform an operation related to the first external electronic device.

An electronic device including a memory is disclosed. The memory stores instructions controlling the electronic device to acquire information on a first external electronic device, access a server storing a software program related to the first external electronic device, receive at least a portion of the software program related to the first external electronic device from the server through the communication interface, install the at least a portion of the software program, transmit the at least a portion of the information on the first external electronic device and/or at least one part of the received at least a portion of the software program to a second external electronic device, and provide a user interface to the display using the installed at least a portion of the software program. The user interface is used for the second external electronic device to perform an operation related to the first external electronic device.