# US 12,602,304 B2 · Self-learning green application workloads > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,602,304 B2 - Document ID: US12602304B2 - Status: Granted - Kind: B2 - Application number: 18/305,194 - Filed: 2023-04-21 - Published: 2023-10-26 - Granted: 2026-04-14 - Earliest claimed: 2022-04-26 - Assignees: Hewlett Packard Enterprise Development LP - Applicants: Juniper Networks, Inc. - Inventors: Raja Kommula; Thayumanavan Sridhar; Raj Yavatkar - Web page: https://patentgrep.com/patent/US12602304B2 ## CPC - G06F 11/3058: {Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations (thermal management in cooling arrangements of a computing system G06F1/206)} - G06F 9/5072: {Grid computing} - G06F 9/5088: {involving task migration} - G06F 9/5094: {where the allocation takes into account power or heat criteria (power management in computers in general G06F1/3203; thermal management in computers in general G06F1/206)} - G06F 11/3062: {where the monitored property is the power consumption (power management in a computing system G06F1/3203)} - Y02D 10/00: Energy efficient computing, e.g. low power processors, power management or thermal management - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - Y02D: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE ## Abstract Techniques are described for determining the energy usage of a data center and invoking one or more actions to improve the energy usage of the data center. For example, a computing system may obtain energy usage data of a data center deploying an application. The computing system may also determine, based on a comparison of the energy usage data of the data center deploying the application to a percentage of energy provided by one or more renewable energy sources to the data center, a green quotient of the application that specifies a value that indicates whether the data center deploying the application is energy efficient. The computing system may further invoke, based on the green quotient of the application that specifies a value that indicates the data center deploying the application is not energy efficient, an action to improve energy usage of the data center deploying the application. ## Claims ### Claim 1 A method comprising: obtaining, by a computing system, energy usage data of a data center deploying an application; computing, by a computing system and based on a comparison of the energy usage data of the data center deploying the application to a percentage of energy provided by one or more renewable energy sources to the data center, a green quotient of the application that specifies a value that indicates whether the data center deploying the application is energy efficient; and invoking, by a computing system and based on the green quotient of the application that specifies a value that indicates the data center deploying the application is not energy efficient, an action to improve energy usage of the data center deploying the application, wherein the action comprises configuring one or more devices of the data center. ### Claim 2 (depends on 1) The method of claim 1, wherein computing the green quotient of the application comprises: determining, based on energy usage data of the data center when the application is running, a first green quotient that indicates the energy efficiency of the data center when the application is running; determining, based on energy usage data of the data center when the application is not running, a second green quotient that indicates the energy efficiency of the data center when the application is not running; and computing a delta between the first green quotient and the second green quotient; specifying, based on comparing the delta between the first green quotient and the second green quotient to the percentage of energy provided by one or more renewable energy sources to the data center, a value for the green quotient of the application that indicates whether the data center deploying the application is energy efficient. ### Claim 3 (depends on 2) The method of claim 2, wherein the energy usage data comprises a current energy usage of the data center and a total energy usage of the data center if the data center were to run at full capacity; wherein determining the first green quotient comprises: determining a first energy quotient, wherein the first energy quotient of the data center indicates a percentage of the total energy usage consumed by the current energy usage of the data center when the application is running, and comparing the first energy quotient to a percentage of energy provided by one or more renewable energy sources to the data center; and wherein determining the second green quotient comprises: determining a second energy quotient, wherein the second energy quotient of the data center indicates a percentage of the total energy usage consumed by the current energy usage of the data center when the application is not running, and comparing the second energy quotient to the percentage of energy provided by one or more renewable energy sources to the data center. ### Claim 4 (depends on 2) The method of claim 2, wherein the first green quotient comprises an average of a plurality of green quotients of data center when the application is running that were determined over a period of time. ### Claim 5 (depends on 2) The method of claim 2, wherein specifying, based on comparing the delta between the first green quotient and the second green quotient to a percentage of energy provided by one or more renewable energy sources to the data center, the value for the green quotient of the application that indicates whether the data center deploying the application is energy efficient comprises: determining that the delta between the first green quotient and the second green quotient is less than or equal to the percentage of energy provided by one or more renewable energy sources to the data center; and in response to determining that the delta between the first green quotient and the second green quotient is less than or equal to the percentage of energy provided by one or more renewable energy sources to the data center, specifying a value of the green quotient of the application that indicates the data center deploying the application is energy efficient. ### Claim 6 (depends on 2) The method of claim 2, wherein specifying, based on comparing the delta between the first green quotient and the second green quotient to a percentage of energy provided by one or more renewable energy sources to the data center, the value for the green quotient of the application that indicates whether the data center deploying the application is energy efficient comprises: determining that the delta between the first green quotient and the second green quotient is greater than the percentage of energy provided by one or more renewable energy sources to the data center; and in response to determining that the delta between the first green quotient and the second green quotient is greater than the percentage of energy provided by one or more renewable energy sources to the data center, specifying a value of the green quotient of the application that indicates the data center deploying the application is not energy efficient. ### Claim 7 (depends on 1) The method of claim 1, wherein configuring the one or more devices of the data center comprises one or more of: automatically deploying the application to one or more select servers; migrating the application from a first number of hosts to a second number of hosts that is fewer than the first number of hosts; activating a cooling system of the data center deploying the application; or disabling workload scaling. ### Claim 8 (depends on 1) The method of claim 1, wherein computing the green quotient of the application that specifies the value that indicates whether the data center deploying the application is energy efficient comprises determining, based on a pattern of the energy usage of the data center, that the data center deploying the application is not energy efficient, and wherein invoking the action to improve energy usage of the data center comprises invoking, in response to determining that the data center deploying the application is not energy efficient, the action to improve energy usage of the data center before a next determining of whether the data center deploying the application is not energy efficient. ### Claim 9 (depends on 1) The method of claim 1, wherein invoking the action to improve energy usage of the data center comprises: configuring a processing unit of a network interface card in a server of the data center to perform the action. ### Claim 10 (depends on 1) The method of claim 1, wherein invoking the action to improve energy usage of the data center comprises: outputting an alert indicating to an administrator of the data center that the data center deploying the application is not energy efficient. ### Claim 11 A computing system comprising: a memory; and one or more processors in communication with the memory, the one or more processors configured to: obtain energy usage data of a data center deploying an application; compute, based on a comparison of the energy usage data of the data center deploying the application to a percentage of energy provided by one or more renewable energy sources to the data center, a green quotient of the application that specifies a value that indicates whether the data center deploying the application is energy efficient; and invoke, based on the green quotient of the application that specifies a value that indicates the data center deploying the application is not energy efficient, an action to improve energy usage of the data center deploying the application, wherein the action comprises configuring one or more devices of the data center. ### Claim 12 (depends on 11) The computing system of claim 11, wherein to compute the green quotient of the application, the one or more processors are configured to: determine, based on energy usage data of the data center when the application is running, a first green quotient that indicates the energy efficiency of the data center when the application is running; determine, based on energy usage data of the data center when the application is not running, a second green quotient that indicates the energy efficiency of the data center when the application is not running; and computing a delta between the first green quotient and the second green quotient; specify, based on comparing the delta between the first green quotient and the second green quotient to the percentage of energy provided by one or more renewable energy sources to the data center, the value for the green quotient of the application that indicates whether the data center deploying the application is energy efficient. ### Claim 13 (depends on 12) The computing system of claim 12, wherein the energy usage data comprises a current energy usage of the data center and a total energy usage of the data center if the data center were to run at full capacity; wherein to determine the first green quotient, the one or more processors are configured to: determine a first energy quotient, wherein the first energy quotient of the data center indicates a percentage of the total energy usage consumed by the current energy usage of the data center when the application is running, and compare the first energy quotient to a percentage of energy provided by one or more renewable energy sources to the data center; and wherein to determine the second green quotient, the one or more processors are configured to: determine a second energy quotient, wherein the second energy quotient of the data center indicates a percentage of the total energy usage consumed by the current energy usage of the data center when the application is not running, and compare the second energy quotient to the percentage of energy provided by one or more renewable energy sources to the data center. ### Claim 14 (depends on 12) The computing system of claim 12, wherein the second green quotient comprises an average of a plurality of green quotients of data center when the application is running that were determined over a period of time. ### Claim 15 (depends on 12) The computing system of claim 12, wherein to specify, based on comparing the delta between the first green quotient and the second green quotient to a percentage of energy provided by one or more renewable energy sources to the data center, the value for the green quotient of the application that indicates whether the data center deploying the application is energy efficient, the one or more processors are configured to: determine that the delta between the first green quotient and the second green quotient is less than or equal to the percentage of energy provided by one or more renewable energy sources to the data center; and in response to determining that the delta between the first green quotient and the second green quotient is less than or equal to the percentage of energy provided by one or more renewable energy sources to the data center, specify a value of the green quotient of the application that indicates the data center deploying the application is energy efficient. ### Claim 16 (depends on 12) The computing system of claim 12, wherein to specify, based on comparing the delta between the first green quotient and the second green quotient to a percentage of energy provided by one or more renewable energy sources to the data center, the value for the green quotient of the application that indicates whether the data center deploying the application is energy efficient, the one or more processors are configured to: determine that the delta between the first green quotient and the second green quotient is greater than the percentage of energy provided by one or more renewable energy sources to the data center; and in response to determining that the delta between the first green quotient and the second green quotient is greater than the percentage of energy provided by one or more renewable energy sources to the data center, specify a value of the green quotient of the application that indicates the data center deploying the application is not energy efficient. ### Claim 17 (depends on 11) The computing system of claim 11, wherein to configure the one or more devices of the data center, the one or more processors are configured to perform one or more of: automatically deploy the application to one or more select servers; migrate the application from a first number of hosts to a second number of hosts that is fewer than the first number of hosts; activate a cooling system of the data center deploying the application; or disable workload scaling. ### Claim 18 (depends on 11) The computing system of claim 11, wherein to compute the green quotient of the application that specifies the value that indicates whether the data center deploying the application is energy efficient, the one or more processors are further configured to determine, based on a pattern of the energy usage of the data center, that the data center deploying the application is not energy efficient, and wherein to invoke the action to improve energy usage of the data center, the one or more processors are further configured to invoke, in response to determining that the data center deploying the application is not energy efficient, the action to improve energy usage of the data center before a next determining of whether the data center deploying the application is not energy efficient. ### Claim 19 (depends on 11) The computing system of claim 11, wherein to invoke the action to improve energy usage of the data center, the one or more processors are configured to: configure a processing unit of a network interface card in a server of the data center to perform the action. ### Claim 20 Non-transitory computer-readable media having instructions that, when executed, cause one or more processors to: obtain energy usage data of a data center deploying an application; compute, based on a comparison of the energy usage data of the data center deploying the application to a percentage of energy provided by one or more renewable energy sources to the data center, a green quotient of the application that specifies a value that indicates whether the data center deploying the application is energy efficient; and invoke, based on the green quotient of the application that specifies a value that indicates the data center deploying the application is not energy efficient, an action to improve energy usage of the data center deploying the application, wherein the action comprises configuring one or more devices of the data center.