CN112380099A - Energy saving and consumption reducing system based on cloud computing server and compensation method thereof - Google Patents
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Abstract
The invention discloses an energy-saving and consumption-reducing system based on a cloud computing server, which comprises a model building module, an energy consumption monitoring module, an energy consumption optimizing computing module, a start-stop module, a load balancing module, a data caching module and a timing module, wherein the model building module is connected with the energy consumption monitoring module, the energy consumption optimizing computing module is respectively connected with the energy consumption monitoring module, the load balancing module and the start-stop module, the data caching module is respectively connected with the start-stop module and the timing module, according to the technical scheme, the energy consumption monitoring module comprises a monitoring unit, a data processing unit and a triggering unit, the energy consumption monitoring module is arranged to monitor the energy consumption condition of each module of the cloud computing server, the time is consumed when the energy consumption exceeds normal energy, the energy consumption optimizing and simulating module is used for optimizing and predicting, and a proper mode is selected for, therefore, the energy-saving and consumption-reducing mode is more reasonable, and the pertinence of energy saving and consumption reduction is stronger.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to an energy-saving and consumption-reducing system based on a cloud computing server and a compensation method thereof.
Background
Cloud computing is considered as a third IT wave from personal PC and internet, which will change the way people acquire, process and store information, cloud computing uses the transmission capability of high-speed internet, transfers the processing process of data from personal computer or server to large-scale cloud computing center, and provides the computing power and storage power for users in a service way, and users can use the computing power as using electric power, tap water and other public facilities, and charge according to the usage amount;
however, in the construction cost of the cloud data center of the cloud computing server, the investment proportion of the power equipment and the air conditioning system is high, most of the operation cost of the data center is energy cost, the cloud computing cost is high due to high energy consumption, and resources are not reasonably utilized.
Disclosure of Invention
The invention provides an energy-saving and consumption-reducing system based on a cloud computing server and a compensation method thereof, which can effectively solve the problems that the investment proportion of power equipment and an air conditioning system is higher in the construction cost of a cloud data center of the current cloud computing server, the operation cost of the data center is mostly energy cost, the cost of cloud computing is higher due to higher energy consumption, and resources are not utilized more reasonably.
In order to achieve the purpose, the invention provides the following technical scheme: an energy saving and consumption reducing system based on a cloud computing server comprises a model building module, an energy consumption monitoring module, an energy consumption optimizing and calculating module, a start-stop module, a load balancing module, a data caching module and a timing module;
the model building module is connected with the energy consumption monitoring module, the energy consumption optimization calculation module is respectively connected with the energy consumption monitoring module, the load balancing module and the start-stop module, and the data cache module is respectively connected with the start-stop module and the timing module.
According to the technical scheme, the energy consumption monitoring module comprises a monitoring unit, a data processing unit and a triggering unit;
the monitoring unit monitors the energy consumption condition of each component of the cloud computing server in real time, the data processing module calculates the energy consumption condition through the data transmitted by the monitoring unit, the energy consumption of the cloud computing server exceeds the normal energy consumption, and the triggering unit triggers the energy consumption optimizing calculation module to perform optimizing calculation.
According to the technical scheme, the energy consumption optimization calculation module comprises an optimization simulation unit and a judgment unit;
the optimization simulation unit respectively carries out simulation prediction on the start-stop module and the load balancing module, consumption reduction judgment is carried out through the judgment unit, and consumption reduction with good consumption reduction effect is selected from the start-stop module and the load balancing module.
According to the technical scheme, the start-stop module controls the start and stop of all the modules of the cloud computing server respectively, the data cache module is started regularly when the energy consumption exceeds the normal energy, the input data is cached, the timing is finished, the cached data output is calculated, and the data cache module is closed.
According to the technical scheme, the timing module comprises a manual timing unit, an automatic timing unit and a clock unit;
the manual timing unit is manually set and input by a user, the data caching module caches data within a timing time, the cloud computing server stops computing, and the cloud computing server continues to start working after the timing time is reached;
the input end of the automatic timing unit is connected with the output end of the energy consumption monitoring module, the energy consumption exceeds the normal energy consumption, the manual timing unit has no input, the timing module automatically starts timing, and the timing is finished after the energy consumption is recovered to be normal;
the manual timing unit has a higher priority than the automatic timing unit.
According to the technical scheme, the data caching module comprises a caching database, a deleting unit and a transmitting unit;
the data in the data cache database are sorted and stored from first to last according to the data transmission time, the input end of the transmission unit is connected with the output end of the timing module, the timing module regularly finishes triggering the transmission unit to transmit the data in the cache database, and other data in the cache database are deleted through the deletion unit.
According to the technical scheme, the load balancing module comprises a searching unit and an allocation operation unit, wherein the allocation operation unit comprises a Web server, an FTP server, an enterprise key application server and other key task servers;
the searching unit searches the servers with low load, accesses the servers with low load to the servers with high load, and distributes the load of the servers with high load, wherein the access number of the distributing operation units is 1-3.
According to the technical scheme, the compensation steps are as follows:
s1, when the load of the cloud computing server is too large, firstly, the hardware of the server is cooled in an external physical mode, and auxiliary power supply is carried out by using a direct-current high-voltage distribution battery;
s2, closing the unusual modules through the start-stop module of the system;
s3, when the load begins to decrease, sequentially starting the unusual modules;
s4, cutting off the direct-current high-voltage distribution battery when the load is reduced to a normal range;
and S5, charging the direct current high-voltage distribution battery.
According to the technical scheme, the external physical mode is used for cooling to be conducted by the cooling fan, the direct-current high-voltage distribution battery is connected with the primary power supply battery in parallel, and the storage capacity of the direct-current high-voltage distribution battery is 40ah-48 ah.
According to the technical scheme, the number of the closed unusual modules is 1-3, the first unusual module is started when the load is reduced by 30%, the second unusual module is started when the load is reduced by 60%, and the third unusual module is started when the load is reduced within a normal range.
Compared with the prior art, the invention has the beneficial effects that:
1. the energy consumption monitoring module is arranged to monitor the energy consumption condition of each module of the cloud computing server, the time spent when the energy consumption exceeds normal energy is consumed, the energy consumption optimization computing module is used for optimizing simulation prediction, and a proper mode is selected for energy conservation and consumption reduction, so that the energy conservation and consumption reduction mode is more reasonable, and the pertinence of energy conservation and consumption reduction is stronger.
2. By arranging the start-stop module, the data caching module and the timing module, the timing module is manually or automatically controlled to close the internal module of the cloud computing server, data are temporarily cached in the data caching module when part of the modules are closed, and after timing is finished, the cached modules are conveyed out, so that the condition of high-energy-consumption operation of the cloud computing server is relieved.
3. Through setting up load balancing module, when cloud computing server high load, look for other low load servers to insert other low load servers and share, thereby under the condition of not shutting down the inside module of server, reduce the load of server, reduce the energy consumption, make and to mutually support between the server.
4. When the cloud computing server runs at a high load, the hardware of the cloud computing server is continuously cooled in an external physical mode, and a direct-current high-voltage distribution battery is added for auxiliary power supply, so that the low-voltage running condition during the running of the load is compensated, the normal running of the cloud computing server is kept, the server abnormity caused by the high load is compensated, the service life of the server is prolonged, and when the server recovers to be at a normal load, the auxiliary power supply is cut off, so that the effects of energy conservation and consumption reduction can be achieved, and the normal running of the server can be ensured.
In conclusion, the cloud computing server is prevented from operating at high load and the energy consumption is reduced through the cooperation of energy consumption monitoring, optimization simulation prediction, timing start-stop control, load balancing and battery compensation, so that the effects of saving energy and reducing consumption are achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
FIG. 1 is a block diagram of the architecture of the system of the present invention;
FIG. 2 is a block diagram of the energy consumption monitoring module of the present invention;
FIG. 3 is a block diagram of the energy consumption optimization calculation module of the present invention;
FIG. 4 is a block diagram of the timing module architecture of the present invention;
FIG. 5 is a block diagram of the data caching module of the present invention;
FIG. 6 is a block diagram of the load balancing module of the present invention;
FIG. 7 is a flow chart of the steps of the compensation method of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1: as shown in fig. 1 to 5, the invention provides a technical solution, and an energy saving and consumption reducing system based on a cloud computing server includes a model building module, an energy consumption monitoring module, an energy consumption optimizing computing module, a start/stop module, a load balancing module, a data caching module and a timing module;
the model building module is connected with the energy consumption monitoring module, the energy consumption optimization calculation module is respectively connected with the energy consumption monitoring module, the load balancing module and the start-stop module, and the data cache module is respectively connected with the start-stop module and the timing module.
According to the technical scheme, the energy consumption monitoring module comprises a monitoring unit, a data processing unit and a triggering unit;
the monitoring unit monitors the energy consumption condition of each component of the cloud computing server in real time, the data processing module calculates the energy consumption condition through the data transmitted by the monitoring unit, the energy consumption of the cloud computing server exceeds the normal energy consumption, and the triggering unit triggers the energy consumption optimizing calculation module to perform optimizing calculation.
According to the technical scheme, the energy consumption optimization calculation module comprises an optimization simulation unit and a judgment unit;
the optimization simulation unit respectively carries out simulation prediction on the start-stop module and the load balancing module, consumption reduction judgment is carried out through the judgment unit, consumption reduction with good consumption reduction effect is selected in the start-stop module and the load balancing module, energy consumption of each module of the cloud computing server is monitored through the energy consumption monitoring module, time is consumed when the energy consumption exceeds normal energy, optimization simulation prediction is carried out through the energy consumption optimization computing module, energy saving and consumption reduction are carried out by selecting a proper mode, therefore, the mode of energy saving and consumption reduction is more reasonable, and the pertinence of energy saving and consumption reduction is stronger.
According to the technical scheme, the start-stop module controls the start and stop of all the modules of the cloud computing server respectively, the data cache module is started regularly when the energy consumption exceeds the normal energy, the input data is cached, the timing is finished, the cached data output is calculated, and the data cache module is closed.
According to the technical scheme, the timing module comprises a manual timing unit, an automatic timing unit and a clock unit;
the manual timing unit is manually set and input by a user, the data caching module caches data within a timing time, the cloud computing server stops computing, and the cloud computing server continues to start working after the timing time is reached;
the input end of the automatic timing unit is connected with the output end of the energy consumption monitoring module, the energy consumption exceeds the normal energy consumption, the manual timing unit has no input, the timing module automatically starts timing, and the timing is finished after the energy consumption is recovered to be normal;
the manual timing unit has a higher priority than the automatic timing unit.
According to the technical scheme, the data caching module comprises a caching database, a deleting unit and a transmitting unit;
the data in the data cache library are sorted and stored from beginning to end according to the data transmission time, the input end of the transmission unit is connected with the output end of the timing module, the timing module regularly finishes triggering the transmission unit to transmit the data in the cache database, other data in the cache database are deleted through the deletion unit, the timing module is manually or automatically controlled to close the internal modules of the cloud computing server through the start-stop module, the data cache module and the timing module, the data are temporarily cached in the data cache module when part of the modules are closed, and the cached modules are transmitted out after the timing is finished, so that the high-energy-consumption operation condition of the cloud computing server is relieved.
According to the technical scheme, the load balancing module comprises a searching unit and an apportioning operation unit, wherein the apportioning operation unit comprises a Web server, an FTP server, an enterprise key application server and other key task servers;
the searching unit searches the servers with low loads, the low-load servers are connected into the high-load servers, the number of the connected operation units is 3, the loads of the high-load servers are shared, the load balancing module is arranged, when the high loads of the cloud computing servers are achieved, other low-load servers are searched, and the other low-load servers are connected to be shared, so that the loads of the servers are reduced under the condition that the internal modules of the servers are not shut down, energy consumption is reduced, and the servers can be matched with one another.
Example 2: as shown in fig. 1 and 7, the present invention provides a technical solution, and the present invention provides a technical solution, a method for energy saving and consumption reduction compensation based on a cloud computing server, the compensation steps are as follows:
s1, when the load of the cloud computing server is too large, firstly, the hardware of the server is cooled in an external physical mode, and auxiliary power supply is carried out by using a direct-current high-voltage distribution battery;
s2, closing the unusual modules through the start-stop module of the system;
s3, when the load begins to decrease, sequentially starting the unusual modules;
s4, cutting off the direct-current high-voltage distribution battery when the load is reduced to a normal range;
and S5, charging the direct current high-voltage distribution battery.
According to the technical scheme, the cooling is carried out in an external physical mode to be conducted through the cooling fan, the direct-current high-voltage distribution battery is connected with the primary power supply battery in parallel, and the storage capacity of the direct-current high-voltage distribution battery is 40 ah.
According to the technical scheme, the maximum number of the closed unusual modules is 3, the first unusual module is started when the load is reduced by 30%, the second unusual module is started when the load is reduced by 60%, the third unusual module is started when the load is reduced by a normal range, when the cloud computing server runs at a high load, the hardware of the cloud computing server is cooled by continuously utilizing an external physical mode, and a direct-current high-voltage distribution battery is added for auxiliary power supply, so that the low-voltage running condition when the load runs is compensated, the normal running of the cloud computing server is kept, the server abnormity caused by the high load is compensated, the service life of the server is prolonged, when the server returns to the normal load, the auxiliary power supply is cut off, the effects of energy conservation and consumption reduction can be achieved, and the normal running of the server can be ensured.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides an energy saving and consumption reduction system based on cloud computing server which characterized in that: the energy consumption monitoring system comprises a model building module, an energy consumption monitoring module, an energy consumption optimization calculation module, a start-stop module, a load balancing module, a data caching module and a timing module;
the model building module is connected with the energy consumption monitoring module, the energy consumption optimization calculation module is respectively connected with the energy consumption monitoring module, the load balancing module and the start-stop module, and the data cache module is respectively connected with the start-stop module and the timing module.
2. The energy saving and consumption reducing system based on the cloud computing server according to claim 1, wherein the energy consumption monitoring module comprises a monitoring unit, a data processing unit and a triggering unit;
the monitoring unit monitors the energy consumption condition of each component of the cloud computing server in real time, the data processing module calculates the energy consumption condition through the data transmitted by the monitoring unit, the energy consumption of the cloud computing server exceeds the normal energy consumption, and the triggering unit triggers the energy consumption optimizing calculation module to perform optimizing calculation.
3. The energy saving and consumption reducing system based on the cloud computing server according to claim 1, wherein the energy consumption optimization calculation module comprises an optimization simulation unit and a judgment unit;
the optimization simulation unit respectively carries out simulation prediction on the start-stop module and the load balancing module, consumption reduction judgment is carried out through the judgment unit, and consumption reduction with good consumption reduction effect is selected from the start-stop module and the load balancing module.
4. The energy saving and consumption reducing system based on the cloud computing server according to claim 1, wherein the start-stop module controls start and stop of all modules of the cloud computing server respectively, the data cache module is started regularly when energy consumption exceeds normal energy, the data cache module is cached for input data, the data cache module is ended regularly, the cached data are output for computing, and the data cache module is closed.
5. The energy saving and consumption reducing system based on the cloud computing server as claimed in claim 1, wherein the timing module comprises a manual timing unit, an automatic timing unit and a clock unit;
the manual timing unit is manually set and input by a user, the data caching module caches data within a timing time, the cloud computing server stops computing, and the cloud computing server continues to start working after the timing time is reached;
the input end of the automatic timing unit is connected with the output end of the energy consumption monitoring module, the energy consumption exceeds the normal energy consumption, the manual timing unit has no input, the timing module automatically starts timing, and the timing is finished after the energy consumption is recovered to be normal;
the manual timing unit has a higher priority than the automatic timing unit.
6. The energy saving and consumption reducing system based on the cloud computing server as claimed in claim 1, wherein the data caching module comprises a caching database, a deleting unit and a transmitting unit;
the data in the data cache database are sorted and stored from first to last according to the data transmission time, the input end of the transmission unit is connected with the output end of the timing module, the timing module regularly finishes triggering the transmission unit to transmit the data in the cache database, and other data in the cache database are deleted through the deletion unit.
7. The energy saving and consumption reducing system based on the cloud computing server as claimed in claim 1, wherein the load balancing module comprises a search unit and a sharing operation unit, and the sharing operation unit comprises a Web server, an FTP server, an enterprise key application server and other key task servers;
the searching unit searches the servers with low load, accesses the servers with low load to the servers with high load, and distributes the load of the servers with high load, wherein the access number of the distributing operation units is 1-3.
8. The compensation method for the energy saving and consumption reducing system based on the cloud computing server according to any one of claims 1 to 7, wherein the compensation step is as follows:
s1, when the load of the cloud computing server is too large, firstly, the hardware of the server is cooled in an external physical mode, and auxiliary power supply is carried out by using a direct-current high-voltage distribution battery;
s2, closing the unusual modules through the start-stop module of the system;
s3, when the load begins to decrease, sequentially starting the unusual modules;
s4, cutting off the direct-current high-voltage distribution battery when the load is reduced to a normal range;
and S5, charging the direct current high-voltage distribution battery.
9. The energy saving and consumption reduction compensation method based on the cloud computing server as claimed in claim 8, wherein the external physical cooling is performed by a cooling fan, the direct current high voltage distribution battery is connected in parallel with the primary power supply battery, and the storage capacity of the direct current high voltage distribution battery is 40ah-48 ah.
10. The energy saving and consumption reduction compensation method based on the cloud computing server according to claim 8, wherein the number of the infrequent modules is 1-3, the first infrequent module is turned on when the load is reduced by 30%, the second infrequent module is turned on when the load is reduced by 60%, and the third infrequent module is turned on when the load is reduced to a normal range.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113176856A (en) * | 2021-04-30 | 2021-07-27 | 云上青海大数据产业有限公司 | Cloud computing service system based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113176856A (en) * | 2021-04-30 | 2021-07-27 | 云上青海大数据产业有限公司 | Cloud computing service system based on big data |
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