CN107800646A - A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control - Google Patents
A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control Download PDFInfo
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- CN107800646A CN107800646A CN201711076354.4A CN201711076354A CN107800646A CN 107800646 A CN107800646 A CN 107800646A CN 201711076354 A CN201711076354 A CN 201711076354A CN 107800646 A CN107800646 A CN 107800646A
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- 238000004891 communication Methods 0.000 title claims abstract description 30
- 230000003044 adaptive effect Effects 0.000 title claims abstract description 14
- 238000005457 optimization Methods 0.000 title claims abstract description 14
- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000011156 evaluation Methods 0.000 claims abstract description 4
- 238000012544 monitoring process Methods 0.000 claims abstract 2
- 238000010276 construction Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 abstract description 6
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000002688 persistence Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2425—Traffic characterised by specific attributes, e.g. priority or QoS for supporting services specification, e.g. SLA
- H04L47/2433—Allocation of priorities to traffic types
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/61—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources taking into account QoS or priority requirements
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer And Data Communications (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
- Telephonic Communication Services (AREA)
Abstract
A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control, it is characterised in that comprise the following steps：A) communication center agency service is built；B) high priority and low priority are divided into；If it is determined that c) high-priority task, go to and perform step h), if it is decided that be low priority task, go to and perform step d)；D) periodically monitoring in real time is carried out to the running status of controllable priority query；E) calculate low priority task and perform control intensityY ACT ；F) calculation basis task initial priority and service request arrival time dynamic evaluation tasks carrying priorityY DP ；G) whenThreshold value is performed more than or equal to high priority
Description
Technical field
The present invention relates to power information acquisition technique field, more particularly to a kind of communication task for supporting dynamic flow to control
Adaptive optimization dispatching method.
Background technology
As State Grid Corporation of China's power information acquisition system gathers the propulsion of construction object entirely, field erected collection is eventually
End quantity gradually increases.Up to now, the total number of terminals that single provincial Utilities Electric Co. is accessed is already close to 3,000,000.Terminal
It is responsible for collecting information from intelligent electric energy meter and collecting information uploading to main website, has in power information acquisition system very heavy
The effect wanted.
However, due to upgrading the reasons such as too high frequency, equipment quality or management absence, the collection that scene may be caused to run
The parameter configuration of terminal has differences with the parameter that main website sidelights are recorded.The difference of parameter may cause metering abnormal, and then may
Therefore the economic dispute in terms of the electricity charge, influences normal supply order and social equity.
To solve the problems, such as the parameter difference opposite sex, it is necessary to which main website is carried out immediately synchronously, to avoid terminal parameter to terminal parameter
The risk brought of difference.But most of intelligent electric energy meter quantity accessed in view of current each provincial company all alreadys exceed
10000000, data acquisition session is very heavy, and terminal parameter synchronously necessarily causes communication resource contention to be further exacerbated by, if
It is not controlled by and dredges, it is equally possible to influences normal data acquisition order, reduce system operation quality.
The content of the invention
The present invention is in order to overcome the shortcomings of above technology, there is provided one kind on the premise of terminal normal work is not influenceed,
The adaptive optimization adjustment of terminal parameter synchronous task is supported, synchronous process is recorded, managed to terminal parameter, so as to carry
The communication task adaptive optimization dispatching method of the support dynamic flow control of the reliability of high terminal operating.
Technical scheme is used by the present invention overcomes its technical problem：
A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control, comprises the following steps：
A) by server construction communication center agency service, it is responsible for receiving all terminal communication task requests；
B) communication requirement and current letter that communication center agency service is formed according to task type and task definition
All terminal communication tasks are divided into high priority and low priority by road resource provisioning situation；Specifically：
B-1) bear control instruction generic task and be divided into high-priority task, but energy indicating value task is divided into low priority task；
B-2) nonelectrical energy indicating value generic task is divided into low priority task；
If it is determined that c) high-priority task, go to and perform step h), told and be determined as low priority task, and went to and hold
Row step d)；
D) communication center agency service carries out periodically supervising in real time to the running status of controllable priority query
Survey, its Testing index mainly includes：Mission failure rate p1, mission requirements total amount p2, obstruction queue length rate of change p3, one-level refers to
Mark weight vector p=(p1+p2+p3), two-level index weight vector index is q=(q in the first class index of i-thi1+qi2,...,qim),
M is the number of the two-level index weight vector in first class index in formula；
E) formula is passed throughCalculate low priority task and perform control intensity YACT, its
Middle piFor i-th of first class index weight, qijFor the weight of j-th of two-level index of i-th of first class index, xijFor qijAssessment
Value；
F) formula is passed through
Calculation basis task initial priority and service request
Arrival time dynamic evaluation tasks carrying priority YDP, wherein YpFor task initial priority, TmaxWhen being performed for greatest requirements
Between, TAvgFor low priority task average performance times, Δ tiFor service request arrival time；
G) Y is worked asDPWhen performing threshold value λ more than or equal to high priority, the low priority task waited for a long time is upgraded to height preferentially
Level；
H) task is performed using high-priority queue.
The beneficial effects of the invention are as follows：The communication task adaptive optimization dispatching method controlled by this support dynamic flow
On the premise of terminal normal work is not influenceed, the adaptive optimization adjustment of the remote synchronization of terminal parameter can be realized.Due to
Dynamic flow control during task, can realize the synchronous high real-time of power information acquisition system data parameters and
On the premise of high reliability, the pressure of power information capturing service application system communication channel operation is effectively reduced.By " cutting
The mode of peak load ", dynamic adjust persistence strategy, ensure communication channel safety and stability in pressure spikes phase control communication flows
Operation, the complete and high efficiency of transmission that communication flows ensures parameter is increased in the pressure low ebb phase.By to tasks carrying hierarchical policy,
High-priority task is effectively guaranteed to be performed using the high real-time, highly reliable of the limited communication resource.Realize to task
Priority level and service request arrival time carry out jointed dispatch, effectively avoid continuous cross of low priority task for a long time can not
The problem of obtaining channel.
Brief description of the drawings
Embodiment
The present invention will be further described below.
A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control, comprises the following steps：
A) by server construction communication center agency service, it is responsible for receiving all terminal communication task requests；
B) communication requirement and current letter that communication center agency service is formed according to task type and task definition
All terminal communication tasks are divided into high priority and low priority by road resource provisioning situation；Specifically：
B-1) bear control instruction generic task and be divided into high-priority task, but energy indicating value task is divided into low priority task；
B-2) nonelectrical energy indicating value generic task is divided into low priority task；
If it is determined that c) high-priority task, go to and perform step h), if it is decided that be low priority task, go to and hold
Row step d)；
D) communication center agency service carries out periodically supervising in real time to the running status of controllable priority query
Survey, its Testing index mainly includes：Mission failure rate p1, mission requirements total amount p2, obstruction queue length rate of change p3, one-level refers to
Mark weight vector p=(p1+p2+p3), two-level index weight vector index is q=(q in the first class index of i-thi1+qi2,...,qim),
M is the number of the two-level index weight vector in first class index in formula；
E) formula is passed throughCalculate low priority task and perform control intensity YACT, its
Middle piFor i-th of first class index weight, qijFor the weight of j-th of two-level index of i-th of first class index, xijFor qijAssessment
Value；
F) formula is passed through
Calculation basis task initial priority and service request
Arrival time dynamic evaluation tasks carrying priority YDP, wherein YpFor task initial priority, TmaxWhen being performed for greatest requirements
Between, TAvgFor low priority task average performance times, Δ tiFor service request arrival time；
G) Y is worked asDPWhen performing threshold value λ more than or equal to high priority, the low priority task waited for a long time is upgraded to height preferentially
Level；
H) task is performed using high-priority queue.
The communication task adaptive optimization dispatching method controlled by this support dynamic flow can not influence terminal just
Often on the premise of work, the adaptive optimization adjustment of the remote synchronization of terminal parameter is realized.Due to the dynamic during task
Flow controls, can on the premise of the synchronous high real-time of power information acquisition system data parameters and high reliability is realized,
It is effectively reduced the pressure of power information capturing service application system communication channel operation.By way of " peak load shifting ", move
State adjusts persistence strategy, ensures communication channel safe and stable operation in pressure spikes phase control communication flows, in pressure low ebb
Phase increases the complete and high efficiency of transmission that communication flows ensures parameter.By to tasks carrying hierarchical policy, being effectively guaranteed height
Priority tasks are performed using the high real-time, highly reliable of the limited communication resource.Realize to task priority grade kimonos
Business request arrival time carries out jointed dispatch, effectively avoids continuous cross of low priority task from can not obtaining asking for channel for a long time
Topic.
Claims (1)
1. a kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control, it is characterised in that including following step
Suddenly：
A) by server construction communication center agency service, it is responsible for receiving all terminal communication task requests；
B) communication requirement and present channel that communication center agency service is formed according to task type and task definition provide
All terminal communication tasks are divided into high priority and low priority by source supply situation；Specifically：
B-1) bear control instruction generic task and be divided into high-priority task, but energy indicating value task is divided into low priority task；
B-2) nonelectrical energy indicating value generic task is divided into low priority task；
If it is determined that c) high-priority task, go to and perform step h), if it is decided that be low priority task, go to and perform step
It is rapid d)；
D) communication center agency service carries out periodically monitoring in real time to the running status of controllable priority query, its
Testing index mainly includes：Mission failure rate p1, mission requirements total amount p2, obstruction queue length rate of change p3, first class index power
Vectorial p=(p1+p2+p3), two-level index weight vector index is q=(q in the first class index of i-thi1+qi2,...,qim), in formula
M is the number of the two-level index weight vector in first class index；
E) formula is passed throughCalculate low priority task and perform control intensity YACT, wherein piFor
I-th of first class index weight, qijFor the weight of j-th of two-level index of i-th of first class index, xijFor qijAssessed value；
F) formula is passed throughCalculation basis task initial priority and service
Ask arrival time dynamic evaluation tasks carrying priority YDP, wherein YpFor task initial priority, TmaxPerformed for greatest requirements
Time, TAvgFor low priority task average performance times, Δ tiFor service request arrival time；
G) Y is worked asDPWhen performing threshold value λ more than or equal to high priority, the low priority task waited for a long time is upgraded to high priority；
H) task is performed using high-priority queue.
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|---|---|---|---|---|
| JP3540698B2 (en) * | 1999-12-22 | 2004-07-07 | 日本電信電話株式会社 | A packet scheduling method and method, and a recording medium on which a program for executing the method is recorded. |
| CN1885819A (en) * | 2005-06-24 | 2006-12-27 | 中兴通讯股份有限公司 | Packet scheduling method in broadband CDMA mobile communication system |
| CN101620550A (en) * | 2009-05-27 | 2010-01-06 | 西华师范大学 | Embedded real-time scheduling method based on fuzzy multiple features of task |
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| US20140237477A1 (en) * | 2013-01-18 | 2014-08-21 | Nec Laboratories America, Inc. | Simultaneous scheduling of processes and offloading computation on many-core coprocessors |
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2017
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| CN101620550A (en) * | 2009-05-27 | 2010-01-06 | 西华师范大学 | Embedded real-time scheduling method based on fuzzy multiple features of task |
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Address after: 250003 No. 2000, Wang Yue Road, Shizhong District, Ji'nan, Shandong Patentee after: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. Patentee after: STATE GRID CORPORATION OF CHINA Address before: 250003 No. 2000, Wang Yue Road, Shizhong District, Ji'nan, Shandong Patentee before: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. Patentee before: State Grid Corporation of China |
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Effective date of registration: 20210401 Address after: No. 150, Jinger Road, Daguanyuan, Shizhong District, Jinan City, Shandong Province Patentee after: Shandong Electric Power Marketing Center Patentee after: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. Patentee after: STATE GRID CORPORATION OF CHINA Address before: 250003 No. 2000, Wang Yue Road, Shizhong District, Ji'nan, Shandong Patentee before: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. Patentee before: STATE GRID CORPORATION OF CHINA |