CN111857319A - Intelligent optimization method and system for server power consumption - Google Patents
Intelligent optimization method and system for server power consumption Download PDFInfo
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Abstract
The invention provides an intelligent optimization method and system for server power consumption, which forms a brand new optimization system by a software and hardware module in an original server system, acquires component information and a power consumption value, monitors the component state and the whole state, formulates a power consumption optimization scheme according to the acquired information and the component state, sends an adjustment instruction to a component by a BMC (baseboard management controller) to adjust the component to a required working state, and controls a hardware circuit to realize the power supply cut-off operation of the module group, thereby issuing identification commands of various working states of the component information, continuously adjusting the component state according to the actual condition, achieving the optimization of the whole power consumption of the system and effectively reducing the power consumption of the system.
Description
Technical Field
The invention relates to the technical field of server power consumption optimization, in particular to a server power consumption intelligent optimization method and system.
Background
Along with the gradual enhancement of the performance of the server, the power consumption of various components of the server is increased, and the power consumption of the system not only has stricter requirements on power supply of a power supply, but also has more and more important importance on the stability of a mainboard and the whole. Excessive power consumption change not only can cause the waste of extra power consumption, but also can cause the risk of overload downtime for the power supply, and cause very big threat to the stability of system.
The existing server is not provided with a special power consumption management system, the power consumption collection is not provided with a systematized collection control module, the power consumption of each component in the system is monitored through a part of sensors on a mainboard, a plurality of components are not monitored, and the power consumption of the detected components is not managed by the system. Therefore, the system power consumption of the components cannot be monitored and coordinately managed, the power consumption of each component cannot be optimized, and the server has high energy efficiency and serious unnecessary power consumption loss.
Disclosure of Invention
The invention aims to provide a method and a system for intelligently optimizing the power consumption of a server, which aim to solve the problem of serious power consumption loss caused by the fact that the server does not perform system management on the power consumption in the prior art, realize the optimization of the overall power consumption of a system and effectively reduce the power consumption of the system.
In order to achieve the technical purpose, the invention provides an intelligent optimization method for power consumption of a server, which comprises the following operations:
collecting component information through a BMC (baseboard management controller), and loading a control strategy and a control instruction according to the component information;
acquiring the power consumption of each part, and comparing the power consumption acquired by the part sensor with the power consumption acquired by command communication to obtain the actual power consumption value of the part;
Monitoring the state and the overall state of the component, formulating a power consumption optimization scheme according to the acquired information and the state of the component, sending an adjustment instruction to the component through the BMC to adjust the component to a required working state, and controlling a hardware circuit to realize power supply cut-off operation on a module group;
and collecting the system state and the current fault information, and adjusting the power consumption optimization scheme.
Preferably, when the state power consumption of the current component exceeds the theoretical maximum value, a fault risk exists, the component fault information of the component needs to be detected and read, if the component is a fault, the fault information is classified, and if the fault alarm is not detected, a new power consumption abnormal fault alarm is reported to the BMC to generate.
Preferably, the fault information is ranked as follows:
reporting alarm information, and not adjusting power consumption;
closing the current running state of the part, entering a low power consumption mode, and waiting for issuing an instruction again to start;
the power supply to the component is cut off.
The invention also provides an intelligent optimization system for the power consumption of the server, which comprises the following steps:
the component information collection module is used for collecting component information through the BMC and loading a control strategy and a control instruction according to the component information;
the power consumption collection module is used for collecting the power consumption of each part, and comparing the power consumption collected by the part sensor with the power consumption collected by the instruction communication to obtain the actual power consumption value of the part;
The power consumption optimization processing module is used for monitoring the state and the integral state of the component, formulating a power consumption optimization scheme according to the acquired information and the state of the component, sending an adjustment instruction to the component through the BMC to adjust the component to a required working state, and controlling a hardware circuit to realize power supply cut-off operation on the module group;
and the optimization adjustment module is used for acquiring the system state and the current fault information and adjusting the power consumption optimization scheme.
Preferably, when the state power consumption of the current component exceeds the theoretical maximum value, a fault risk exists, the component fault information of the component needs to be detected and read, if the component is a fault, the fault information is classified, and if the fault alarm is not detected, a new power consumption abnormal fault alarm is reported to the BMC to generate.
Preferably, the fault information is ranked as follows:
reporting alarm information, and not adjusting power consumption;
closing the current running state of the part, entering a low power consumption mode, and waiting for issuing an instruction again to start;
the power supply to the component is cut off.
The invention also provides a server power consumption intelligent optimization device, which comprises:
a memory for storing a computer program;
and the processor is used for executing the computer program to realize the intelligent optimization method for the power consumption of the server.
The invention also provides a readable storage medium for storing a computer program, wherein the computer program is used for realizing the intelligent optimization method for the power consumption of the server when being executed by a processor.
The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
compared with the prior art, the invention forms a brand-new optimization system by a software and hardware module in the original server system, acquires the component information and the power consumption value, monitors the component state and the whole state, makes a power consumption optimization scheme according to the acquired information and the component state, sends an adjustment instruction to the component by the BMC to adjust the component to the required working state, and controls the hardware circuit to realize the power supply cut-off operation of the module group, thereby issuing identification commands of various working states of the component information, continuously adjusting the component state according to the actual condition, achieving the optimization of the whole power consumption of the system and effectively reducing the power consumption of the system.
Drawings
Fig. 1 is a flowchart of a method for intelligently optimizing server power consumption according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of component power consumption collection provided in an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating power consumption optimization control of a GPU according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a power consumption optimization process for components provided in an embodiment of the present invention;
fig. 5 is a block diagram of a system for intelligently optimizing server power consumption according to an embodiment of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
The following describes a method and a system for intelligently optimizing server power consumption according to embodiments of the present invention in detail with reference to the accompanying drawings.
As shown in fig. 1, the present invention discloses a method for intelligently optimizing server power consumption, which comprises the following operations:
collecting component information through a BMC (baseboard management controller), and loading a control strategy and a control instruction according to the component information;
acquiring the power consumption of each part, and comparing the power consumption acquired by the part sensor with the power consumption acquired by command communication to obtain the actual power consumption value of the part;
monitoring the state and the overall state of the component, formulating a power consumption optimization scheme according to the acquired information and the state of the component, sending an adjustment instruction to the component through the BMC to adjust the component to a required working state, and controlling a hardware circuit to realize power supply cut-off operation on a module group;
and collecting the system state and the current fault information, and adjusting the power consumption optimization scheme.
The embodiment of the invention controls and adjusts the test strategy of the component power consumption and the whole power consumption by detecting the component power consumption and analyzing the actual server working state and the current alarm and problem.
The BMC collects the component information, sorts and loads a control strategy and a control instruction according to the component information, monitors the component state, and uploads and detects the power consumption state and the power consumption data of the component. Monitoring the server system state alarm and fault, analyzing and processing the collected data, appointing a power consumption optimization scheme, modifying the optimization scheme according to the current running state of the server, performing instruction assignment adjustment on each part, and optimizing the power consumption scheme in real time. And collecting the current working condition and the power consumption condition, verifying the current power consumption adjustment value, determining a power consumption adjustment strategy, and restarting a new process.
Collecting information of each component in the server system, counting the information of each component by the BMC, loading a corresponding regulation and control strategy and a regulation and control instruction according to the information of the component, and using the loaded regulation and control strategy for real-time optimization and control of the power consumption of the component.
As shown in fig. 2, the power consumption of each component of the server system is collected and analyzed, the information source of the power consumption of the component is the component information of BMC communication information of the key sensor component and the component distributed on the server motherboard, the component power consumption information obtained through the two ways is compared and analyzed, and the current actual power consumption value of the component can be obtained within the error dynamic range.
As shown in fig. 3, taking a GPU component as an example, the system first detects the model and software version of the GPU, searches for a corresponding power consumption regulation instruction in the instruction library, loads the power consumption regulation instruction into the BMC, and then performs power consumption optimization on the component according to the actual operating state and the component state. When the IDLE server is static and the GPU is not in a working state, sending a control instruction to the component to enter a low power consumption mode; when the GPU is ready to be started and the server starts to inquire the GPU state, sending an instruction to enter a normal operation mode; when the GPU is detected to be better in use condition and excessive in performance, an instruction is sent to reduce the frequency of the GPU, so that the operation power consumption is reduced; when the GPU is detected to be in a long-time non-working state after operation is finished, automatically switching to a low power consumption mode; when a component fault or a problem is detected, the power supply of the component is directly cut off, other components are similar to the control mode, different power consumption scheme strategies are introduced, and the power consumption of the component is continuously adjusted according to the actual situation so as to achieve the optimal power consumption state.
The power consumption optimization control is completed through a BMC control system and a hardware control module, when power is required to be adjusted through instructions, the BMC sends adjustment instructions to the components to enable the components to be adjusted to a required working state, and the hardware control module mainly controls a hardware circuit to achieve operations such as power supply cut-off of a module group, so that power consumption optimization processing is achieved.
As shown in fig. 4, the collected component information is combined, and according to the loaded component power consumption setting range, it is determined whether the current component operating state is within the maximum range of the theoretical value, if the sampled power consumption exceeds the theoretical maximum, there is a fault risk, and it is necessary to detect and read the component fault information of the component, if it is a fault, the fault state enters a classification system, and if it is not detected, a fault alarm is reported to the BMC to generate a new power consumption abnormal fault alarm. If the hardware sensor monitors that the power consumption is within a normal range, the alarm information of the component is detected, classification is carried out according to the alarm information, and whether the power consumption of the component is cut off or not and the operation of reducing the power consumption is determined.
For the classification of fault information, the method is mainly used for judging the fault grade and setting a corresponding power consumption optimization scheme, and a three-level power consumption adjustment coping scheme is set:
Reporting alarm information, and not adjusting power consumption; the level is that the power consumption state is abnormal, the component has alarm information, but the alarm does not affect the work and does not affect the work of other components, and the state is reported to the BMC to wait for the higher-level adjustment;
closing the current running state of the part, entering a low power consumption mode, and waiting for issuing an instruction again to start; the level is that the components are difficult to operate, great fault risk exists when the components continue to operate, and alarm information which influences other components and influences the normal work of a server system exists;
cutting off the power supply to the component; the level is that the component cannot work normally, or the server system is affected to operate normally when a serious fault such as a short circuit exists in hardware detection, and at the moment, the power supply of the component should be cut off directly, and the information is informed to the BMC.
The embodiment of the invention forms a brand new optimization system by a software and hardware module in the original server system, acquires the component information and the power consumption value, monitors the component state and the whole state, makes a power consumption optimization scheme according to the acquired information and the component state, sends an adjustment instruction to the component by the BMC to adjust the component to the required working state, and controls the hardware circuit to realize the power supply cut-off operation of the module group, thereby continuously adjusting the component state according to the actual condition by issuing the identification command of various working states of the component information, achieving the whole power consumption of the system and optimally and effectively reducing the power consumption of the system.
As shown in fig. 5, an embodiment of the present invention further discloses a server power consumption intelligent optimization system, where the system includes:
the component information collection module is used for collecting component information through the BMC and loading a control strategy and a control instruction according to the component information;
the power consumption collection module is used for collecting the power consumption of each part, and comparing the power consumption collected by the part sensor with the power consumption collected by the instruction communication to obtain the actual power consumption value of the part;
the power consumption optimization processing module is used for monitoring the state and the integral state of the component, formulating a power consumption optimization scheme according to the acquired information and the state of the component, sending an adjustment instruction to the component through the BMC to adjust the component to a required working state, and controlling a hardware circuit to realize power supply cut-off operation on the module group;
and the optimization adjustment module is used for acquiring the system state and the current fault information and adjusting the power consumption optimization scheme.
The BMC collects the component information, sorts and loads a control strategy and a control instruction according to the component information, monitors the component state, and uploads and detects the power consumption state and the power consumption data of the component. Monitoring the server system state alarm and fault, analyzing and processing the collected data, appointing a power consumption optimization scheme, modifying the optimization scheme according to the current running state of the server, performing instruction assignment adjustment on each part, and optimizing the power consumption scheme in real time. And collecting the current working condition and the power consumption condition, verifying the current power consumption adjustment value, determining a power consumption adjustment strategy, and restarting a new process.
Collecting information of each component in the server system, counting the information of each component by the BMC, loading a corresponding regulation and control strategy and a regulation and control instruction according to the information of the component, and using the loaded regulation and control strategy for real-time optimization and control of the power consumption of the component.
The power consumption of each component of the server system is collected and analyzed, the information source of the power consumption of the components is the component information of BMC communication information of key sensor components and components distributed and controlled on a server mainboard, the power consumption information of the components acquired through the two ways is compared and analyzed, and the current actual power consumption value of the components can be obtained within an error dynamic range.
Taking a GPU component as an example, the system firstly detects the model and the software version of the GPU, searches a corresponding power consumption regulation instruction in an instruction library, loads the power consumption regulation instruction into the BMC, and then optimizes the power consumption of the component according to the actual running state and the component state. When the IDLE server is static and the GPU is not in a working state, sending a control instruction to the component to enter a low power consumption mode; when the GPU is ready to be started and the server starts to inquire the GPU state, sending an instruction to enter a normal operation mode; when the GPU is detected to be better in use condition and excessive in performance, an instruction is sent to reduce the frequency of the GPU, so that the operation power consumption is reduced; when the GPU is detected to be in a long-time non-working state after operation is finished, automatically switching to a low power consumption mode; when a component fault or a problem is detected, the power supply of the component is directly cut off, other components are similar to the control mode, different power consumption scheme strategies are introduced, and the power consumption of the component is continuously adjusted according to the actual situation so as to achieve the optimal power consumption state.
The power consumption optimization control is completed through a BMC control system and a hardware control module, when power is required to be adjusted through instructions, the BMC sends adjustment instructions to the components to enable the components to be adjusted to a required working state, and the hardware control module mainly controls a hardware circuit to achieve operations such as power supply cut-off of a module group, so that power consumption optimization processing is achieved.
And determining whether the running state of the current component is within the maximum range of a theoretical value or not according to the power consumption setting range of the loaded component by combining the acquired component information, if the sampling power consumption exceeds the theoretical maximum value, the fault risk exists, the component fault information of the component needs to be detected and read, if the component is a fault, the fault state enters a hierarchical system, and if the fault alarm is not detected, the fault alarm is reported to the BMC to generate a new power consumption abnormal fault alarm. If the hardware sensor monitors that the power consumption is within a normal range, the alarm information of the component is detected, classification is carried out according to the alarm information, and whether the power consumption of the component is cut off or not and the operation of reducing the power consumption is determined.
For the classification of fault information, the method is mainly used for judging the fault grade and setting a corresponding power consumption optimization scheme, and a three-level power consumption adjustment coping scheme is set:
Reporting alarm information, and not adjusting power consumption; the level is that the power consumption state is abnormal, the component has alarm information, but the alarm does not affect the work and does not affect the work of other components, and the state is reported to the BMC to wait for the higher-level adjustment;
closing the current running state of the part, entering a low power consumption mode, and waiting for issuing an instruction again to start; the level is that the components are difficult to operate, great fault risk exists when the components continue to operate, and alarm information which influences other components and influences the normal work of a server system exists;
cutting off the power supply to the component; the level is that the component cannot work normally, or the server system is affected to operate normally when a serious fault such as a short circuit exists in hardware detection, and at the moment, the power supply of the component should be cut off directly, and the information is informed to the BMC.
The embodiment of the invention also discloses a server power consumption intelligent optimization device, which comprises:
a memory for storing a computer program;
and the processor is used for executing the computer program to realize the intelligent optimization method for the power consumption of the server.
The embodiment of the invention also discloses a readable storage medium for storing the computer program, wherein the computer program realizes the intelligent optimization method for the power consumption of the server when being executed by the processor.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. A method for intelligent optimization of server power consumption, the method comprising the operations of:
collecting component information through a BMC (baseboard management controller), and loading a control strategy and a control instruction according to the component information;
acquiring the power consumption of each part, and comparing the power consumption acquired by the part sensor with the power consumption acquired by command communication to obtain the actual power consumption value of the part;
monitoring the state and the overall state of the component, formulating a power consumption optimization scheme according to the acquired information and the state of the component, sending an adjustment instruction to the component through the BMC to adjust the component to a required working state, and controlling a hardware circuit to realize power supply cut-off operation on a module group;
and collecting the system state and the current fault information, and adjusting the power consumption optimization scheme.
2. The method according to claim 1, wherein when the state power consumption of the current component exceeds the theoretical maximum, a fault risk exists, component fault information of the component needs to be detected and read, if the component fault information is a fault, the fault information is classified, and if a fault alarm is not detected, a new power consumption abnormal fault alarm is reported to the BMC to generate.
3. The intelligent server power consumption optimization method according to claim 1, wherein the fault information is classified as follows:
reporting alarm information, and not adjusting power consumption;
closing the current running state of the part, entering a low power consumption mode, and waiting for issuing an instruction again to start;
the power supply to the component is cut off.
4. An intelligent server power consumption optimization system, the system comprising:
the component information collection module is used for collecting component information through the BMC and loading a control strategy and a control instruction according to the component information;
the power consumption collection module is used for collecting the power consumption of each part, and comparing the power consumption collected by the part sensor with the power consumption collected by the instruction communication to obtain the actual power consumption value of the part;
the power consumption optimization processing module is used for monitoring the state and the integral state of the component, formulating a power consumption optimization scheme according to the acquired information and the state of the component, sending an adjustment instruction to the component through the BMC to adjust the component to a required working state, and controlling a hardware circuit to realize power supply cut-off operation on the module group;
and the optimization adjustment module is used for acquiring the system state and the current fault information and adjusting the power consumption optimization scheme.
5. The system according to claim 4, wherein when the current state power consumption of the component exceeds the theoretical maximum, a fault risk exists, the component fault information of the component needs to be detected and read, if the component fault information is a fault, the fault information is classified, and if the fault alarm is not detected, the fault alarm is reported to the BMC to generate a new abnormal power consumption fault alarm.
6. The intelligent server power consumption optimization system according to claim 4, wherein the fault information is classified as follows:
reporting alarm information, and not adjusting power consumption;
closing the current running state of the part, entering a low power consumption mode, and waiting for issuing an instruction again to start;
the power supply to the component is cut off.
7. An intelligent server power consumption optimization device, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the server power consumption intelligent optimization method according to any one of claims 1 to 3.
8. A readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the server power consumption intelligent optimization method according to any one of claims 1 to 3.
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Application publication date: 20201030 |
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