CN112637060A - Method and system for acquiring energy consumption of host or network and method for reducing energy consumption of network - Google Patents
Method and system for acquiring energy consumption of host or network and method for reducing energy consumption of network Download PDFInfo
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- CN112637060A CN112637060A CN202011482845.0A CN202011482845A CN112637060A CN 112637060 A CN112637060 A CN 112637060A CN 202011482845 A CN202011482845 A CN 202011482845A CN 112637060 A CN112637060 A CN 112637060A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/12—Shortest path evaluation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/02—Topology update or discovery
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a method and a system for acquiring host or network energy consumption and a method for reducing network energy consumption, wherein the method for acquiring the host or network energy consumption comprises the following steps: acquiring the physical power consumption of a computing host or a network; performing data fitting according to the physical power consumption to obtain the energy efficiency of the host or the network; acquiring actual power consumption, comparing the energy efficiency of the host or the network with the actual power consumption, and fitting again if an error exists; when the error is within the threshold value, the energy consumption factor of the host or the network is obtained, and a method for reducing the energy consumption of the network is provided. According to the method, the energy efficiency factors are superposed in the traditional data center protocol to calculate the path, so that the network supports the low-energy-efficiency host and the low-energy-efficiency equipment, and the purposes of energy conservation and emission reduction are achieved.
Description
Technical Field
The present invention relates to a method and a system for acquiring energy consumption and a method for reducing network energy consumption, and more particularly, to a method and a system for acquiring energy consumption of a host or a network and a method for reducing network energy consumption.
Background
In a data center environment, the capacity of the data center is increased, so that the energy consumption is increased rapidly, the consumed electric power is increased more and more, and the problems of operation cost and environmental supervision are caused.
In current data center cloud computing environments, current technology only calculates for route reachability in a data center network.
Disclosure of Invention
The purpose of the invention is as follows: the first purpose of the present invention is to provide a method for obtaining energy consumption of a host or a network, which can efficiently obtain energy consumption factors, the second purpose of the present invention is to provide a system for obtaining energy consumption of a host or a network, which can efficiently obtain energy consumption factors, and the third purpose of the present invention is to provide a method for reducing energy consumption of a network, which can save energy, reduce emission, and reduce operation cost.
The technical scheme is as follows: the method for acquiring the energy consumption of the host or the network comprises the following steps:
(1) acquiring the physical power consumption of a computing host or a network;
(2) performing data fitting according to the physical power consumption to obtain the energy efficiency of the host or the network;
(3) acquiring actual power consumption, comparing the energy efficiency of the host or the network with the actual power consumption, and fitting again if an error exists;
(4) and when the error is within the threshold value, obtaining the energy consumption factor of the host or the network.
Further, in step (1), the method for acquiring the physical power consumption of the computing host is as follows:
(a) running an algorithm for controlling a CPU, a memory and a hard disk on a host;
(b) adjusting algorithm parameters, firstly enabling the initial value of the CPU to reach a certain set value within the range of 10% -100%, enabling the initial value of the memory to reach the set value within the range of 10% -100%, and enabling the hard disk to run at full speed; then, the CPU occupancy rate and the memory occupancy rate are respectively adjusted according to the step reduction or the step improvement of a certain set value of 1% -50%;
(c) note the physical power consumption in all states.
In the step (c), the physical power consumption data is obtained by circularly performing tests on servers with different types of CPUs, different sizes of memories and different sizes of hard disks.
The step (2) specifically comprises the following steps: and adopting a smoothing algorithm to perform data fitting, calculating the weight of the CPU, the memory and the hard disk, forming an energy efficiency calculation algorithm formula of the host according to the weight of the CPU, the memory and the hard disk, and obtaining an energy consumption calculation value.
The step (3) specifically comprises the following steps:
(a) adjusting parameters of an energy efficiency calculation algorithm or testing at physical servers of different models to obtain a test data set, and obtaining actual power consumption under the energy efficiency calculation algorithm according to the test data set;
(b) comparing the calculated value with the actual power consumption;
(c) if there is an error, the weights are adjusted to perform a refitting.
Preferably, the step (4) specifically comprises the following steps: and if the error between the calculated data and the actual power consumption is 0-10%, the algorithm is considered to meet the energy consumption calculation requirement, and the energy efficiency factor of the host is obtained after weighted averaging is carried out on the weights of the CPU, the memory and the hard disk.
The energy consumption factor of the network is obtained as follows:
(a) sending the flow of different loads to the network equipment through a network flow generator, firstly sending the flow of a certain set value within the range of 10% -100% of port load, and then reducing or increasing the flow according to a certain set value of 1% -50% in a stepped manner;
(b) sending different types of flow to different types of ports, firstly sending the flow of a certain set value within the range of 10% -100% of a port load port, and then reducing or increasing the flow in a stepped manner according to a certain set value of 1% -50%;
(c) recording physical power consumption data of network equipment of different types of ports under different flow load states;
(d) adopting a smoothing algorithm to perform data fitting, calculating to obtain the weight of each network device, and forming an energy efficiency calculation algorithm formula of the network device according to the weight of the network device to obtain an energy consumption calculation value;
(e) testing different network devices to obtain a test data set, obtaining actual power consumption under an energy efficiency calculation algorithm according to the test data set, and if deviation exists, adjusting the weight to perform refitting;
(f) and if the error between the calculated value and the actual power consumption is within the threshold range, the algorithm is considered to meet the energy consumption calculation requirement, and the energy efficiency factors of the network equipment are obtained after weighted averaging is carried out on the weights corresponding to all the network equipment.
And finding the weight of each component corresponding to the energy consumption influence by adopting an AI back propagation mode.
The system for acquiring the energy consumption of the host or the network comprises a physical power consumption acquisition module, an energy efficiency acquisition module and an energy consumption factor acquisition module, wherein the physical power consumption acquisition module is used for acquiring the physical power consumption of the computer host or the network; the energy consumption acquisition module is used for performing data fitting according to physical power consumption to acquire the energy efficiency of a host or a network; the energy consumption factor obtaining module is used for obtaining actual power consumption, comparing the energy efficiency of the host or the network with the actual power consumption, fitting again if an error exists, and obtaining the energy consumption factor of the host or the network when the error is within a threshold value.
The method for reducing network energy consumption of the invention obtains the energy consumption factor by the method for obtaining the host or the network energy consumption, and comprises the following steps: (a) judging whether the host is connected with the switch or not, if not, storing the host energy efficiency factor to a host system, and waiting for the host to be connected; if the host equipment is connected to the switch, the host system issues the energy efficiency factor of the host system to the connected switch through the LLDP message;
(b) the exchanger stores the port number and the corresponding host energy consumption data;
(c) when the switch sends the route announcement, diffusing the port number and the energy efficiency factor of the connected host to all switches through BGP;
(d) the switch calculates all reachable paths when calculating the routing path;
(f) on the basis of the reachable path, counting the energy efficiency factors on the path;
(g) comparing the total energy efficiency of all reachable paths, and creating a route with the lowest energy efficiency factor value;
(h) and if the load change of the host exceeds a preset threshold value, re-notifying all the equipment of the network according to the steps, and recalculating the low-energy-consumption route by the network equipment.
Further, propagation is carried out by adding the private attribute of the LLDP, and meanwhile, when the routing is calculated, the communication path with the lowest energy efficiency is selected by comparing sigma E on the path to which the communication path belongs. The propagation is performed through a private attribute such as E (e.g., attribute value of 85), while the propagation is performed on behalf of the energy factor by adding the private attribute E to the BGP IPV4/IPV6 address family.
Has the advantages that: compared with the prior art, the invention has the following remarkable advantages: the invention provides a method for defining actual energy efficiency through a test data intelligent learning method, the deviation between the theoretical energy efficiency found by the method and the actual energy efficiency is less, the precision is higher, in addition, the invention provides a method for realizing the low energy efficiency path of a data center network, and a route message and an energy efficiency definition algorithm can find a universal low energy efficiency path network algorithm through the algorithm and the propagation method provided by the invention. The method can be used for low-energy-consumption path selection of other wide area networks, and has wide application scenes in data center networks. According to the method and the system, the energy efficiency factors are superposed in the traditional data center protocol to calculate the path, so that the network supports the low-energy-efficiency host and the low-energy-efficiency equipment, and the purposes of energy conservation and emission reduction are achieved.
Drawings
FIG. 1 is a diagram of the logical architecture of the system of the present invention;
FIG. 2 is a business relationship diagram of the present invention;
FIG. 3 is a schematic diagram of a service message access point calculation process in the service of the present invention;
fig. 4 is a schematic diagram of a process of issuing a service packet in the service of the present invention.
Detailed Description
The technical solution of the present invention is further illustrated by the following examples.
As shown in fig. 1, in a typical network of data centers:
(1) the computer is connected with the access switch through a network port;
(2) the access switch is connected to the aggregation switch through an uplink network port;
(3) the aggregation switch is connected to the core switch through an uplink port, and the uplink connection is generally simultaneously connected to more than two core switches for mutual backup;
(4) the core switch connects the exit router to the external network through the network port;
as shown in fig. 2, in a data center, the traffic relationship of each device in a traffic view corresponds to the energy efficiency relationship one to one.
(1) The computing host may be partitioned into virtual hosts;
(2) the virtual host is connected to the physical access switch through a virtual port;
(3) the flow of the access switch is converged to a convergence switch;
(4) the flow of the aggregation switch is aggregated to a core switch;
(5) all traffic to the external network passes through the egress router;
as shown in fig. 3, the method for acquiring energy consumption of a host or a network of the present invention includes the following steps:
(1) acquiring the physical power consumption of a computing host or a network;
(2) performing data fitting according to the physical power consumption to obtain the energy efficiency of the host or the network;
(3) acquiring actual power consumption, comparing the energy efficiency of the host or the network with the actual power consumption, and fitting again if an error exists;
(4) and when the error is within the threshold value, obtaining the energy consumption factor of the host or the network.
In the step (1), the method for acquiring the physical power consumption of the computer host comprises the following steps:
(a) running an algorithm for controlling a CPU, a memory and a hard disk on a host;
(b) adjusting algorithm parameters, namely firstly enabling the CPU to reach 100%, the memory to reach 100% and the hard disk to run at full speed; then, respectively adjusting the CPU occupancy rate and the memory occupancy rate according to 10% steps;
(c) note the physical power consumption in all states.
In the step (c), the physical power consumption data is obtained by circularly performing tests on servers with different types of CPUs, different sizes of memories and different sizes of hard disks.
The step (2) specifically comprises the following steps: and adopting a smoothing algorithm to perform data fitting, calculating the weight of the CPU, the memory and the hard disk, forming an energy efficiency calculation algorithm formula of the host according to the weight of the CPU, the memory and the hard disk, and obtaining an energy consumption calculation value.
The step (3) specifically comprises the following steps:
(a) adjusting parameters of an energy efficiency calculation algorithm or testing at physical servers of different models to obtain a test data set, and obtaining actual power consumption under the energy efficiency calculation algorithm according to the test data set;
(b) comparing the calculated value with the actual power consumption;
(c) if there is an error, the weights are adjusted to perform a refitting.
The step (4) specifically comprises the following steps: and if the error between the calculated data and the actual power consumption is within 10%, the algorithm is considered to meet the energy consumption calculation requirement, and the energy efficiency factor of the host is obtained after weighted averaging is carried out on the weights of the CPU, the memory and the hard disk.
The energy consumption factor of the network is obtained as follows:
(a) sending flows with different loads to network equipment through a network flow generator, firstly sending the flow with 100% port load, and then reducing the flow according to 10% steps;
(b) sending different types of flow to different types of ports, firstly sending the flow with 100% of port load, and then reducing the flow according to 10% steps;
(c) recording physical power consumption data of network equipment of different types of ports under different flow load states;
(d) adopting a smoothing algorithm to perform data fitting, calculating to obtain the weight of each network device, and forming an energy efficiency calculation algorithm formula of the network device according to the weight of the network device to obtain an energy consumption calculation value;
(e) testing different network devices to obtain a test data set, obtaining actual power consumption under an energy efficiency calculation algorithm according to the test data set, and if deviation exists, adjusting the weight to perform refitting;
(f) if the error between the calculated value and the actual power consumption is within the threshold range, the algorithm is considered to meet the energy consumption calculation requirement, and the energy efficiency factors of the network equipment are obtained after weighted averaging is carried out on the weights of all the network equipment.
And finding the weight of each component corresponding to the energy consumption influence by adopting an AI back propagation mode.
As shown in fig. 4, the method for reducing network energy consumption, which obtains an energy consumption factor by using a method for obtaining host or network energy consumption, includes the following steps: (a) judging whether the host is connected with the switch or not, if not, storing the host energy efficiency factor to a host system, and waiting for the host to be connected; if the host equipment is connected to the switch, the host system issues the energy efficiency factor of the host system to the connected switch through the LLDP message;
(b) the exchanger stores the port number and the corresponding host energy consumption data;
(c) when the switch sends the route announcement, diffusing the port number and the energy efficiency factor of the connected host to all switches through BGP;
(d) the switch calculates all reachable paths when calculating the routing path;
(f) on the basis of the reachable path, counting the energy efficiency factors on the path;
(g) comparing the total energy efficiency of all reachable paths, and creating a route with the lowest energy efficiency factor value;
(h) and if the load change of the host exceeds a preset threshold value, re-notifying all the equipment of the network according to the steps, and recalculating the low-energy-consumption route by the network equipment.
And (3) propagating by adding the private attribute of the LLDP, and selecting the communication path with the lowest energy efficiency by comparing sigma E on the path to which the LLDP belongs when calculating the route.
The system for acquiring the energy consumption of the host or the network comprises a physical power consumption acquisition module, an energy efficiency acquisition module and an energy consumption factor acquisition module, wherein the physical power consumption acquisition module is used for acquiring the physical power consumption of the computer host or the network; the energy consumption acquisition module is used for performing data fitting according to physical power consumption to acquire the energy efficiency of a host or a network; the energy consumption factor obtaining module is used for obtaining actual power consumption, comparing the energy efficiency of the host or the network with the actual power consumption, fitting again if an error exists, and obtaining the energy consumption factor of the host or the network when the error is within a threshold value.
Claims (10)
1. A method for acquiring energy consumption of a host or a network is characterized by comprising the following steps:
(1) acquiring the physical power consumption of a computing host or a network;
(2) performing data fitting according to the physical power consumption to obtain the energy efficiency of a host or a network;
(3) acquiring actual power consumption, comparing the energy efficiency of the host or the network with the actual power consumption, and fitting again if an error exists;
(4) and when the error is within the threshold value, obtaining the energy consumption factor of the host or the network.
2. The method for acquiring host or network energy consumption according to claim 1, wherein in step (1), the method for acquiring physical energy consumption of the computing host is as follows:
(a) running an algorithm for controlling a CPU, a memory and a hard disk on a host;
(b) adjusting algorithm parameters, firstly enabling an initial value of a CPU to be a certain set value of 10% -100%, enabling an initial value of a memory to be a certain set value of 10% -100%, and enabling a hard disk to run at full speed; then, respectively adjusting the CPU occupancy rate and the memory occupancy rate according to the step value of a certain set value of 1% -50%;
(c) and circularly testing the servers with different types of CPUs, memories and hard disks with different sizes to obtain the physical power consumption data.
3. The method for acquiring host or network energy consumption according to claim 2, wherein the step (2) specifically comprises the following steps: and adopting a smoothing algorithm to perform data fitting, calculating the weight of the CPU, the memory and the hard disk, forming an energy efficiency calculation algorithm formula of the host according to the weight of the CPU, the memory and the hard disk, and obtaining an energy consumption calculation value.
4. The method for acquiring host or network energy consumption according to claim 3, wherein the step (3) specifically comprises the following steps:
(a) adjusting parameters of an energy efficiency calculation algorithm or testing at physical servers of different models to obtain a test data set, and obtaining actual power consumption under the energy efficiency calculation algorithm according to the test data set;
(b) comparing the calculated value with the actual power consumption;
(c) if there is an error, the weights are adjusted to perform a refitting.
5. The method for acquiring host or network energy consumption according to claim 4, wherein the step (4) specifically comprises the following steps: and if the error between the calculated data and the actual power consumption is 0-10%, the algorithm is considered to meet the energy consumption calculation requirement, and the energy efficiency factor of the host is obtained after weighted averaging is carried out on the weights of the CPU, the memory and the hard disk.
6. The method for acquiring energy consumption of a host or a network according to claim 1, wherein the energy consumption factor of the network is obtained by:
(a) sending flow of different loads to network equipment through a network flow generator, firstly sending set flow within the range of 10% -100% of the port load of an initial value, and then reducing or increasing the flow in a step mode according to a certain set value of 1% -50% to adjust;
(b) sending different types of flow to different types of ports, firstly sending set flow within the range of 10% -100% of port load, and then reducing or increasing the flow in a step mode according to a certain set value of 1% -50%;
(c) recording physical power consumption data of network equipment of different types of ports under different flow load states;
(d) adopting a smoothing algorithm to perform data fitting, calculating to obtain the weight of each network device, and forming an energy efficiency calculation algorithm formula of the network device according to the weight of the network device to obtain an energy consumption calculation value;
(e) testing different network devices to obtain a test data set, obtaining actual power consumption under an energy efficiency calculation algorithm according to the test data set, and if deviation exists, adjusting the weight to perform refitting;
(f) if the error between the calculated value and the actual power consumption is within the threshold range, the algorithm is considered to meet the energy consumption calculation requirement, and the energy efficiency factors of the network equipment are obtained after weighted averaging is carried out on the weights of all the network equipment.
7. Method for obtaining energy consumption of a host or network according to claim 3 or 6, characterized in that: and finding the weight of each component corresponding to the energy consumption influence by adopting an AI back propagation mode.
8. A system for acquiring energy consumption of a host or a network is characterized by comprising a physical power consumption acquisition module, an energy efficiency acquisition module and an energy consumption factor acquisition module, wherein the physical power consumption acquisition module is used for acquiring the physical power consumption of a computer host or a network; the energy consumption acquisition module is used for performing data fitting according to physical power consumption to acquire the energy efficiency of a host or a network; the energy consumption factor obtaining module is used for obtaining actual power consumption, comparing the energy efficiency of the host or the network with the actual power consumption, fitting again if an error exists, and obtaining the energy consumption factor of the host or the network when the error is within a threshold value.
9. A method for reducing network energy consumption, wherein the method for obtaining host or network energy consumption according to claim 1 is used to obtain an energy consumption factor, and the method comprises the following steps:
(a) judging whether the host is connected with the switch or not, if not, storing the host energy efficiency factor to a host system, and waiting for the host to be connected; if the host equipment is connected to the switch, the host system issues the energy efficiency factor of the host system to the connected switch through the LLDP message;
(b) the exchanger stores the port number and the corresponding host energy consumption data;
(c) when the switch sends the route announcement, diffusing the port number and the energy efficiency factor of the connected host to all switches through BGP;
(d) the switch calculates all reachable paths when calculating the routing path;
(f) on the basis of the reachable path, counting the energy efficiency factors on the path;
(g) comparing the total energy efficiency of all reachable paths, and creating a route with the lowest energy efficiency factor value;
(h) and if the load change of the host exceeds a preset threshold value, re-notifying all the equipment of the network according to the steps, and recalculating the low-energy-consumption route by the network equipment.
10. The method for reducing network energy consumption according to claim 9, wherein: and (3) propagating by adding the private attribute of the LLDP, and selecting the communication path with the lowest energy efficiency by comparing sigma E on the path to which the LLDP belongs when calculating the route.
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