CN108334738A - A kind of calculation power dynamic allocation method for distributed big data processing - Google Patents
A kind of calculation power dynamic allocation method for distributed big data processing Download PDFInfo
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- CN108334738A CN108334738A CN201711475811.7A CN201711475811A CN108334738A CN 108334738 A CN108334738 A CN 108334738A CN 201711475811 A CN201711475811 A CN 201711475811A CN 108334738 A CN108334738 A CN 108334738A
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Abstract
The invention discloses a kind of calculation power dynamic allocation methods for distributed big data processing.First, it after calculating that power deployed with devices is complete and bringing into operation, is all monitored always with a thread and records the peak value of household electricity and daily peak valley time being calculated power equipment whole life cycle.Secondly, when calculating the operation of power equipment, the power of household electricity is no more than the peak value of record.Reduce the power of household electricity once the frequency for calculating power equipment by reduction more than if, until less than record peak value or frequency be zero until；Specific implementation includes thread one：Record average power consumption, average electricity consumption peak value, peak value time of occurrence, valley time of occurrence；Thread two：Calculate the desired value of the household electricity power at current time；Thread three：The frequency rank level of current time calculation power equipment operation is set.Present invention ensure that calculating the safe operation of Force system, while the spending of the electricity charge can be reduced in the case where power is calculated in same offer, reduce the cost of operation.
Description
Technical field
The invention belongs to big data processing fields, and in particular to a kind of calculation power dynamic point for distributed big data processing
Method of completing the square.
Background technology
Distributed arithmetic framework becomes a kind of trend：A small-sized calculation power equipment is configured in each room, it is millions of
Calculation power equipment even in up to ten million user families constitutes huge calculation power network, can be carried on demand to enterprise or personal user
For calculating power.This framework avoids the problem of centralization such as supercomputing center calculates power framework：
1. the electric power energy supply concentrated.The calculating center of centralization needs a large amount of energy consumption, with artificial intelligence operation institute
For the GPU units needed, the energy consumption of individual unit reaches 100w-200w, the required energy consumptions of up to ten thousand or even hundreds thousand of a GPU
It is surprising, need the power equipment of dedicated costliness mating.
2. heat dissipation problem.Will produce a large amount of heat when the calculation power equipment operation of big density, narrow space make heat dissipation at
For serious problem, dedicated refrigeration equipment is needed to cool down computer room.
3. dedicated huge network bandwidth and other peripheral hardwares is needed to carry out the distribution for being deployed in family that is mating and disperseing
Formula operation framework also brings new problem it is possible to prevente effectively from problem above, especially to the Utilizing question of electric power.
First, this kind of framework disposes the enthusiasm for calculating power to improve, it will usually certain according to the payment of the calculation power of offer
Remuneration, and it is exactly the electricity charge to calculate the prime cost that power equipment is usually run.Since peak-trough electricity distinguishes charging, if allowing equipment in peak electricity
Period reduces the calculation power of offer to reduce power consumption, increases the calculation power of offer during paddy electricity, can be provided in one day identical
Electricity charge expense is effectively reduced in the case of power at long last, reduces cost.
Secondly, after a large amount of home deployments in area calculation power equipment, the demand to electric power can be influenced.Originally
Peak of power consumption during, in addition these calculate power equipment power consumption so that the electricity consumption peak value of this area obviously rises, this can lead to original
The load excessive of this power equipment.Ideally, it is intended that in peak times of power consumption few as possible use, these calculate power
Equipment, it is constant with original peak holding using electric peak value, and use more as possible during low power consumption these calculate power equipment,
Achieve the effect that peak load shifting.
Usually the big of power can be calculated to change by the working frequency of dynamic regulation processor with software in calculating power equipment
It is small, while also changing the size of power consumption.Meanwhile it calculating power equipment and can be read by the wifi or bluetooth of intelligent electric meter and being taken office
The electricity consumption of one moment family.A kind of distributed intelligence hardware adjusted for peak-trough electricity is needed to calculate on these calculation power equipment
Power dynamic regulation algorithm solves the problems, such as two above.
Invention content
In view of the deficiencies of the prior art, it is an object of the present invention to provide a kind of distributed intelligence hardware calculations for peak-trough electricity
Power dynamic regulating method.
The technical solution adopted by the present invention to solve the technical problems is as follows：
First, calculate power deployed with devices is complete bring into operation after, with a thread calculate power equipment whole life cycle all
It monitors always and records the peak value of household electricity and daily peak valley time.
Secondly, when calculating the operation of power equipment, the power of household electricity is no more than the peak value of record.Pass through reduction if being more than
Calculating the frequency of power equipment reduces the power of household electricity, until less than record peak value or frequency be zero until.
A kind of distributed intelligence hardware for peak-trough electricity calculates power dynamic regulating method, and specific implementation includes three parallel
Thread：
Thread one：Average power consumption, average electricity consumption peak value are recorded, peak value time of occurrence, valley time of occurrence, specific implementation is such as
Under：
Step 1. initialization records number of days day=0, average power consumption ap=0, average electricity consumption peak value f=0, when peak value occurs
Between ft=0, valley time of occurrence gt=0.
Step 2. is slept 5 minutes, obtains current time t, unit is minute.
If the time of step 3. day==0 and t is not 00:00~00:Between 05, step 2 is jumped to；
Step 4. obtains current home electric power p.
If step 5. t is 00:00~00:Between 05, then same day electricity consumption peak value df=p is initialized, same day peak value goes out
Dft=t, same day electricity consumption valley dg=p between current, as atmospheric electricity valley time of occurrence dgt=t, same day power consumption aggregate-value dap=0；
If step 6. p>Df, then df=p, dft=t.
If step 7. p<Dg, dgt=t.
Step 8.dap=dap+p；
If step 9. t is 23：55~24：Between 00, then f=(f*day+df)/(day+1), ft=(ft*day+
Dft)/(day+1), gt=(gt*day+dgt)/(day+1)；
Ap=(ap*day+dap/288)/(day+1)；Day=day+1；
Step 10. jumps to step 2.
Thread two：The desired value of the household electricity power at current time is calculated, it is specific as follows：
Step 1. is slept 5 minutes, and current time t, unit minute are obtained；
Step 2. obtains current ap, f, ft and gt from thread one；
If step 3. t is more than or equal to ft, lft=t-ft, otherwise lft=t+1440-ft, when wherein lft is current
Between the previous electricity consumption peak value of distance time interval；
If step 4. t is more than or equal to gt, lgt=t-gt, otherwise lgt=t+1440-gt, when wherein lgt is current
Between the previous electricity consumption valley of distance time interval；
If step 5. lft>Lgt and ft>Gt, fgt=ft-gt, wherein fgt indicate previous electricity consumption peak value with it is previous
Time interval between electricity consumption valley；
If step 6. lft>Lgt and ft<Gt, fgt=ft+1440-gt；
If step 7. lft<Lgt and gt>Ft, fgt=gt-ft；
If step 8. lft<Lgt and gt<Ft, fgt=gt+1440-ft；
If step 9. lft>Lgt, then desired value sp=ap+ (f-ap) * (cos (π+π * lgt/fgt)+1)/2, otherwise phase
Prestige value sp=ap+ (f-ap) * (cos (π * lft/fgt)+1)/2.
Step 10. jumps to step 1.
Thread three：The frequency rank level of current time calculation power equipment operation is set, is implemented as follows：
Step 1. initializes current frequency rank level=0, it is assumed that frequency rank increases by 1, and the power for calculating power equipment improves
k。
Step 2. is slept 5 minutes, and current time t, unit minute are obtained；
Step 3. obtains the desired value sp of the household electricity power at current time from thread two；
Step 4. obtains current household electricity power p
If step 5. sp-p>K, then level=level+floor ((sp-p)/k)
If step 6. sp<P, then level=min (0, level-ceil ((p-sp)/k))
Step 7. jumps to step 2.
Wherein, floor () function is whole for removing, and ceil () function is whole for taking.
The present invention has the beneficial effect that：
By using algorithm of the present invention, the operation of calculation power equipment can be made not will produce excessively high electricity consumption peak value,
Ensure the safe operation of calculation Force system, the spending of the electricity charge, reduction on the other hand can be reduced in the case where power is calculated in same offer
The cost of operation.
Description of the drawings
Fig. 1 is the power profile of electricity consumption of the present invention.
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings.
A kind of distributed intelligence hardware for peak-trough electricity calculates power dynamic regulating method, is implemented as follows：
First, calculate power deployed with devices is complete bring into operation after, with a thread calculate power equipment whole life cycle all
It monitors always and records the peak value of household electricity and daily peak valley time.
Secondly, when calculating the operation of power equipment, the power of household electricity is no more than the peak value of record.Pass through reduction if being more than
Calculating the frequency of power equipment reduces the power of household electricity, until less than record peak value or frequency be zero until.
In order to avoid each family is more than original peak value using regional electricity consumption when calculating power equipment, the present invention according to
Family original electricity consumption peak valley rule planned, as shown in Figure 1, the lines of triangular marker is used in original two days
The power distribution of electricity, there are two the peaks of electricity consumption.After opening calculation power equipment, it is expected that the distribution of household electricity is such as round in one day
Shown in the lines of label.Its peak value is identical with original peaks, and valley is equal to intraday mean power, between peak value and valley
Waveform is similar to cosine function.
A kind of distributed intelligence hardware for peak-trough electricity calculates power dynamic regulating method, and specific implementation includes three parallel
Thread：
Thread one：Average power consumption, average electricity consumption peak value are recorded, peak value time of occurrence, valley time of occurrence, specific implementation is such as
Under：
Step 1. initialization records number of days day=0, average power consumption ap=0, average electricity consumption peak value f=0, when peak value occurs
Between ft=0, valley time of occurrence gt=0.
Step 2. is slept 5 minutes, obtains current time t, unit is minute.
If the time of step 3. day==0 and t is not 00:00~00:Between 05, step 2 is jumped to；
Step 4. obtains current home electric power p.
If step 5. t is 00:00~00:Between 05, then same day electricity consumption peak value df=p is initialized, same day peak value goes out
Dft=t, same day electricity consumption valley dg=p between current, as atmospheric electricity valley time of occurrence dgt=t, same day power consumption aggregate-value dap=0；
If step 6. p>Df, then df=p, dft=t.
If step 7. p<Dg, dgt=t.
Step 8.dap=dap+p；
If step 9. t is 23：55~24：Between 00, then f=(f*day+df)/(day+1), ft=(ft*day+
Dft)/(day+1), gt=(gt*day+dgt)/(day+1)；
Ap=(ap*day+dap/288)/(day+1)；Day=day+1；
Step 10. jumps to step 2.
Thread two：The desired value of the household electricity power at current time is calculated, it is specific as follows：
Step 1. is slept 5 minutes, and current time t, unit minute are obtained；
Step 2. obtains current ap, f, ft and gt from thread one；
If step 3. t is more than or equal to ft, lft=t-ft, otherwise lft=t+1440-ft, when wherein lft is current
Between the previous electricity consumption peak value of distance time interval；
If step 4. t is more than or equal to gt, lgt=t-gt, otherwise lgt=t+1440-gt, when wherein lgt is current
Between the previous electricity consumption valley of distance time interval；
If step 5. lft>Lgt and ft>Gt, fgt=ft-gt, wherein fgt indicate previous electricity consumption peak value with it is previous
Time interval between electricity consumption valley；
If step 6. lft>Lgt and ft<Gt, fgt=ft+1440-gt；
If step 7. lft<Lgt and gt>Ft, fgt=gt-ft；
If step 8. lft<Lgt and gt<Ft, fgt=gt+1440-ft；
If step 9. lft>Lgt, then desired value sp=ap+ (f-ap) * (cos (π+π * lgt/fgt)+1)/2, otherwise phase
Prestige value sp=ap+ (f-ap) * (cos (π * lft/fgt)+1)/2.
Step 10. jumps to step 1.
Thread three：The frequency rank level of current time calculation power equipment operation is set, is implemented as follows：
Step 1. initializes current frequency rank level=0, it is assumed that frequency rank increases by 1, and the power for calculating power equipment improves
k。
Step 2. is slept 5 minutes, and current time t, unit minute are obtained；
Step 3. obtains the desired value sp of the household electricity power at current time from thread two；
Step 4. obtains current household electricity power p
If step 5. sp-p>K, then level=level+floor ((sp-p)/k)
If step 6. sp<P, then level=min (0, level-ceil ((p-sp)/k))
Step 7. jumps to step 2.
Wherein, floor () function is whole for removing, and ceil () function is whole for taking.
Claims (4)
1. a kind of calculation power dynamic allocation method for distributed big data processing, it is characterised in that：
First, calculate power deployed with devices is complete bring into operation after, with a thread calculate power equipment whole life cycle all always
It monitors and records the peak value of household electricity and daily peak valley time；
Secondly, when calculating the operation of power equipment, the power of household electricity is no more than the peak value of record；Power is calculated once passing through to reduce more than if
The frequency of equipment reduces the power of household electricity, until less than record peak value or frequency be zero until；
Specific implementation includes three parallel threads：
Thread one：Record average power consumption, average electricity consumption peak value, peak value time of occurrence, valley time of occurrence；
Thread two：Calculate the desired value of the household electricity power at current time；
Thread three：The frequency rank level of current time calculation power equipment operation is set.
2. a kind of calculation power dynamic allocation method for distributed big data processing according to claim 1, feature exist
In being implemented as follows for thread one：
Step 1. initialization record number of days day=0, average power consumption ap=0, averagely electricity consumption peak value f=0, peak value time of occurrence ft
=0, valley time of occurrence gt=0；
Step 2. is slept 5 minutes, obtains current time t, unit is minute；
If the time of step 3. day==0 and t is not 00:00~00:Between 05, step 2 is jumped to；
Step 4. obtains current home electric power p；
If step 5. t is 00:00~00:Between 05, then same day electricity consumption peak value df=p is initialized, when same day peak value occurs
Between dft=t, same day electricity consumption valley dg=p, as atmospheric electricity valley time of occurrence dgt=t, same day power consumption aggregate-value dap=0；
If step 6. p>Df, then df=p, dft=t；
If step 7. p<Dg, dgt=t；
Step 8.dap=dap+p；
If step 9. t is 23：55~24：Between 00, then f=(f*day+df)/(day+1), ft=(ft*day+dft)/
(day+1), gt=(gt*day+dgt)/(day+1)；
Ap=(ap*day+dap/288)/(day+1)；Day=day+1；
Step 10. jumps to step 2.
3. a kind of calculation power dynamic allocation method for distributed big data processing according to claim 1, feature exist
In being implemented as follows for thread two：
Step 1. is slept 5 minutes, and current time t, unit minute are obtained；
Step 2. obtains current ap, f, ft and gt from thread one；
If step 3. t is more than or equal to ft, lft=t-ft, otherwise lft=t+1440-ft, wherein lft be current time away from
Time interval from previous electricity consumption peak value；
If step 4. t is more than or equal to gt, lgt=t-gt, otherwise lgt=t+1440-gt, wherein lgt be current time away from
Time interval from previous electricity consumption valley；
If step 5. lft>Lgt and ft>Gt, fgt=ft-gt, wherein fgt indicate previous electricity consumption peak value and previous electricity consumption
Time interval between valley；
If step 6. lft>Lgt and ft<Gt, fgt=ft+1440-gt；
If step 7. lft<Lgt and gt>Ft, fgt=gt-ft；
If step 8. lft<Lgt and gt<Ft, fgt=gt+1440-ft；
If step 9. lft>Lgt, then desired value sp=ap+ (f-ap) * (cos (π+π * lgt/fgt)+1)/2, otherwise desired value
Sp=ap+ (f-ap) * (cos (π * lft/fgt)+1)/2；
Step 10. jumps to step 1.
4. a kind of calculation power dynamic allocation method for distributed big data processing according to claim 1, feature exist
In being implemented as follows for thread three：
Step 1. initializes current frequency rank level=0, it is assumed that frequency rank increases by 1, and the power for calculating power equipment improves k；
Step 2. is slept 5 minutes, and current time t, unit minute are obtained；
Step 3. obtains the desired value sp of the household electricity power at current time from thread two；
Step 4. obtains current household electricity power p；
If step 5. sp-p>K, then level=level+floor ((sp-p)/k)；
If step 6. sp<P, then level=min (0, level-ceil ((p-sp)/k))；
Step 7. jumps to step 2；
Wherein, floor () function is whole for removing, and ceil () function is whole for taking.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113810977A (en) * | 2020-06-11 | 2021-12-17 | 中国移动通信有限公司研究院 | Method, system, node and medium for generating computational power topology |
| CN116320203A (en) * | 2023-05-22 | 2023-06-23 | 杭州慧康物联网科技有限公司 | Data management system for intelligent operation and maintenance platform of hospital |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6651098B1 (en) * | 2000-02-17 | 2003-11-18 | International Business Machines Corporation | Web site management in a world wide web communication network through reassignment of the server computers designated for respective web documents based upon user hit rates for the documents |
| US20050071298A1 (en) * | 2003-09-30 | 2005-03-31 | International Business Machines Corporation | Distributed computing connected via the World Wide Web with a system for tracking the distribution of computer power from client providers to consumers so as to compensate client providers and bill user consumers |
| CN103679302A (en) * | 2013-12-31 | 2014-03-26 | 电子科技大学 | Household electric utilization optimizing method based on energy storage properties of electric automobile |
| CN105279026A (en) * | 2014-07-10 | 2016-01-27 | 上海奇博自动化科技有限公司 | P2PT based method for healthy networking in distributed cloud computing environment |
| CN106155814A (en) * | 2016-07-04 | 2016-11-23 | 合肥工业大学 | A kind of reconfigurable arithmetic unit supporting multiple-working mode and working method thereof |
| CN106505578A (en) * | 2016-12-07 | 2017-03-15 | 国家电网公司 | A kind of electricity consumption regulation and control method and device of family's load |
| CN107453381A (en) * | 2017-08-16 | 2017-12-08 | 国家电网公司 | Electric automobile cluster power regulating method and system based on two benches cross-over control |
-
2017
- 2017-12-29 CN CN201711475811.7A patent/CN108334738B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6651098B1 (en) * | 2000-02-17 | 2003-11-18 | International Business Machines Corporation | Web site management in a world wide web communication network through reassignment of the server computers designated for respective web documents based upon user hit rates for the documents |
| US20050071298A1 (en) * | 2003-09-30 | 2005-03-31 | International Business Machines Corporation | Distributed computing connected via the World Wide Web with a system for tracking the distribution of computer power from client providers to consumers so as to compensate client providers and bill user consumers |
| CN103679302A (en) * | 2013-12-31 | 2014-03-26 | 电子科技大学 | Household electric utilization optimizing method based on energy storage properties of electric automobile |
| CN105279026A (en) * | 2014-07-10 | 2016-01-27 | 上海奇博自动化科技有限公司 | P2PT based method for healthy networking in distributed cloud computing environment |
| CN106155814A (en) * | 2016-07-04 | 2016-11-23 | 合肥工业大学 | A kind of reconfigurable arithmetic unit supporting multiple-working mode and working method thereof |
| CN106505578A (en) * | 2016-12-07 | 2017-03-15 | 国家电网公司 | A kind of electricity consumption regulation and control method and device of family's load |
| CN107453381A (en) * | 2017-08-16 | 2017-12-08 | 国家电网公司 | Electric automobile cluster power regulating method and system based on two benches cross-over control |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113810977A (en) * | 2020-06-11 | 2021-12-17 | 中国移动通信有限公司研究院 | Method, system, node and medium for generating computational power topology |
| CN113810977B (en) * | 2020-06-11 | 2024-06-07 | 中国移动通信有限公司研究院 | Method, system, node and medium for generating computing force topology |
| CN116320203A (en) * | 2023-05-22 | 2023-06-23 | 杭州慧康物联网科技有限公司 | Data management system for intelligent operation and maintenance platform of hospital |
| CN116320203B (en) * | 2023-05-22 | 2023-07-21 | 杭州慧康物联网科技有限公司 | Data management system for intelligent operation and maintenance platform of hospital |
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