CN107800646B - 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 PDF

Info

Publication number
CN107800646B
CN107800646B CN201711076354.4A CN201711076354A CN107800646B CN 107800646 B CN107800646 B CN 107800646B CN 201711076354 A CN201711076354 A CN 201711076354A CN 107800646 B CN107800646 B CN 107800646B
Authority
CN
China
Prior art keywords
task
priority
low priority
communication
index
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201711076354.4A
Other languages
Chinese (zh)
Other versions
CN107800646A (en
Inventor
张志�
郭亮
徐新光
代燕杰
李琮琮
杜艳
王平欣
董贤光
赵晓燕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
Marketing Service Center of State Grid Shandong Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201711076354.4A priority Critical patent/CN107800646B/en
Publication of CN107800646A publication Critical patent/CN107800646A/en
Application granted granted Critical
Publication of CN107800646B publication Critical patent/CN107800646B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/24Traffic characterised by specific attributes, e.g. priority or QoS
    • H04L47/2425Traffic characterised by specific attributes, e.g. priority or QoS for supporting services specification, e.g. SLA
    • H04L47/2433Allocation of priorities to traffic types
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/56Provisioning of proxy services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/60Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • H04L67/61Scheduling 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer And Data Communications (AREA)
  • Telephonic Communication Services (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control, which comprises the steps of: a) construct communication center agency service;B) high priority and low priority are divided into;If it is determined that c) high-priority task, go to and execute step h), if it is decided that is low priority task, goes to and execute step d);D) periodic real-time monitoring is carried out to the operating status of controllable priority query;E) it calculates low priority task and executes control intensityY ACT ;F) calculation basis task initial priority and service request arrival time dynamic evaluation task execution priorityY DP ;G) whenThreshold value is executed more than or equal to high priority

Description

A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control
Technical field
The present invention relates to power information acquisition technique field more particularly to a kind of communication tasks for supporting dynamic flow to control Adaptive optimization dispatching method.
Background technique
As State Grid Corporation of China's power information acquisition system acquires the propulsion of construction object entirely, field erected acquisition is eventually End quantity is gradually increased.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 summarizing information uploading to main website, has in power information acquisition system very heavy The effect wanted.
However, may cause the acquisition of scene operation due to upgrading excessively high frequency, equipment quality or management absence etc. The parameter configuration of terminal has differences with the parameter that main website sidelights are recorded.It is abnormal and then possible that the difference of parameter may cause metering 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, main website is needed to synchronize terminal parameter immediately, to avoid terminal parameter Difference bring risk.But most of the 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 synchronizes communication resource contention is necessarily caused to be further exacerbated by, if It is not controlled and dredges, it is equally possible to influence normal data acquisition order, reduce system running quality.
Summary of the invention
To overcome the above deficiencies, the invention provides one kind under the premise of not influencing terminal normal work, Support the adaptive optimization adjustment of terminal parameter synchronous task, synchronous process is recorded, managed to terminal parameter, to mention The communication task adaptive optimization dispatching method of the support dynamic flow control of the reliability of high terminal operating.
The present invention overcomes the technical solution used by its technical problem to be:
A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control, includes 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 currently believe that communication center agency service is constituted according to task type and task definition All terminal communication tasks are divided into high priority and low priority by road resource provisioning situation;It is specific:
B-1 it) bears control instruction generic task and is divided into high-priority task, electric 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, goes to and execute step h), spat and be determined as low priority task, and went to and hold Row step d);
D) communication center agency service periodically supervise in real time to the operating status of controllable priority query It surveys, Testing index specifically includes that mission failure rate p1, mission requirements total amount p2, obstruction queue length change rate p3, level-one refers to Mark weight vector p=(p1+p2+p3), two-level index weight vector index is q=(q in i-th first class indexi1+qi2,...,qim), M is the number of the two-level index weight vector in first class index in formula;
E) pass through formulaIt calculates low priority task and executes 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 qij Assessed value;
F) pass through formula
Calculation basis task initial priority and service request Arrival time dynamic evaluation task execution priority YDP, wherein YpFor task initial priority, TmaxWhen being executed for greatest requirements Between, TAvgFor low priority task average performance times, Δ tiFor service request arrival time;
G) work as YDPWhen executing threshold value λ more than or equal to high priority, the low priority task waited for a long time is upgraded to high preferential Grade;
H) task is executed using high-priority queue.
The beneficial effects of the present invention are: the communication task adaptive optimization dispatching method controlled by this support dynamic flow Under the premise of not influencing terminal normal work, 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 Under the premise of high reliability, it is effectively reduced the pressure of power information capturing service application system communication channel operation.By " cutting The mode of peak load ", dynamic adjust persistence strategy, guarantee communication channel safety and stability in pressure spikes phase control communication flows Operation increases the complete and high efficiency of transmission that communication flows guarantees parameter in pressure trough period.By to task execution hierarchical policy, High-priority task is effectively guaranteed real-time, highly reliable to be performed using the height of the limited communication resource.It realizes 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.
Specific embodiment
The present invention will be further described below.
A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control, includes 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 currently believe that communication center agency service is constituted according to task type and task definition All terminal communication tasks are divided into high priority and low priority by road resource provisioning situation;It is specific:
B-1 it) bears control instruction generic task and is divided into high-priority task, electric 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 execute step h), if it is decided that is low priority task, goes to and hold Row step d);
D) communication center agency service periodically supervise in real time to the operating status of controllable priority query It surveys, Testing index specifically includes that mission failure rate p1, mission requirements total amount p2, obstruction queue length change rate p3, level-one refers to Mark weight vector p=(p1+p2+p3), two-level index weight vector index is q=(q in i-th first class indexi1+qi2,...,qim), M is the number of the two-level index weight vector in first class index in formula;
E) pass through formula
Figure GDA0002164606600000031
It calculates low priority task and executes 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 qij Assessed value;
F) pass through formula
Figure GDA0002164606600000041
Calculation basis task initial priority and service request Arrival time dynamic evaluation task execution priority YDP, wherein YpFor task initial priority, TmaxWhen being executed for greatest requirements Between, TAvgFor low priority task average performance times, Δ tiFor service request arrival time;
G) work as YDPWhen executing threshold value λ more than or equal to high priority, the low priority task waited for a long time is upgraded to high preferential Grade;
H) task is executed using high-priority queue.
Terminal can be not being influenced just by the communication task adaptive optimization dispatching method that this support dynamic flow controls Often under the premise of work, the adaptive optimization adjustment of the remote synchronization of terminal parameter is realized.Due to dynamic during task Flow control, can under the premise of realizing the synchronous high real-time of power information acquisition system data parameters and high reliability, It is effectively reduced the pressure of power information capturing service application system communication channel operation.
By way of " peak load shifting ", dynamic adjusts persistence strategy, guarantees in pressure spikes phase control communication flows Communication channel safe and stable operation increases the complete and high efficiency of transmission that communication flows guarantees parameter in pressure trough period.By right It is real-time, highly reliable using the height of the limited communication resource to be effectively guaranteed high-priority task for task execution hierarchical policy It is performed.It realizes and jointed dispatch is carried out to task priority grade and service request arrival time, low priority is effectively avoided to appoint It is engaged in continuous the problem of can not obtaining channel for a long time excessively.

Claims (1)

1. a kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control, which is characterized in that including walking as follows It is rapid:
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 constituted according to task type and task definition provide All terminal communication tasks are divided into high priority and low priority by source supply situation;It is specific:
B-1 it) bears control instruction generic task and is divided into high-priority task, electric 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 execute step h), if it is decided that is low priority task, goes to and execute step It is rapid d);
D) communication center agency service carries out periodic real-time monitoring to the operating status of controllable priority query, Testing index specifically includes that mission failure rate p1, mission requirements total amount p2, obstruction queue length change rate p3, first class index power Vector p=(p1+p2+p3), two-level index weight vector index is q=(q in i-th first class indexi1+qi2,...,qim), in formula M is the number of the two-level index weight vector in first class index;
E) pass through formula
Figure FDA0002153700110000011
It calculates low priority task and executes 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 qijComment Valuation;
F) pass through formula
Figure FDA0002153700110000012
Calculation basis task initial priority kimonos Business request arrival time dynamic evaluation task execution priority YDP, wherein YpFor task initial priority, TmaxIt is held for greatest requirements Row time, TAvgFor low priority task average performance times, Δ tiFor service request arrival time;
G) work as YDPWhen executing 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 executed using high-priority queue.
CN201711076354.4A 2017-11-06 2017-11-06 A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control Active CN107800646B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711076354.4A CN107800646B (en) 2017-11-06 2017-11-06 A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711076354.4A CN107800646B (en) 2017-11-06 2017-11-06 A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control

Publications (2)

Publication Number Publication Date
CN107800646A CN107800646A (en) 2018-03-13
CN107800646B true CN107800646B (en) 2019-10-15

Family

ID=61548928

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711076354.4A Active CN107800646B (en) 2017-11-06 2017-11-06 A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control

Country Status (1)

Country Link
CN (1) CN107800646B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
US7904192B2 (en) * 2004-01-14 2011-03-08 Agency For Science, Technology And Research Finite capacity scheduling using job prioritization and machine selection
CN103650440A (en) * 2011-06-22 2014-03-19 赛格纳斯广播公司 Systems and methods for detection for prioritizing and scheduling packets in a communication network
CN103914754A (en) * 2014-03-12 2014-07-09 中国科学院信息工程研究所 Workflow task scheduling method, multi-workflow scheduling method and system thereof
CN104079501A (en) * 2014-06-05 2014-10-01 深圳市邦彦信息技术有限公司 Queue scheduling method based on multiple priorities
CN105629873A (en) * 2014-11-07 2016-06-01 中国科学院沈阳计算技术研究所有限公司 Hybrid task scheduling method suitable for numerical control system
CN106507492A (en) * 2016-11-08 2017-03-15 重庆邮电大学 Based on the industry wireless network definitiveness transmission dispatching method that priority is distributed

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9367357B2 (en) * 2013-01-18 2016-06-14 Nec Corporation Simultaneous scheduling of processes and offloading computation on many-core coprocessors

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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.
US7904192B2 (en) * 2004-01-14 2011-03-08 Agency For Science, Technology And Research Finite capacity scheduling using job prioritization and machine selection
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
CN103650440A (en) * 2011-06-22 2014-03-19 赛格纳斯广播公司 Systems and methods for detection for prioritizing and scheduling packets in a communication network
CN103914754A (en) * 2014-03-12 2014-07-09 中国科学院信息工程研究所 Workflow task scheduling method, multi-workflow scheduling method and system thereof
CN104079501A (en) * 2014-06-05 2014-10-01 深圳市邦彦信息技术有限公司 Queue scheduling method based on multiple priorities
CN105629873A (en) * 2014-11-07 2016-06-01 中国科学院沈阳计算技术研究所有限公司 Hybrid task scheduling method suitable for numerical control system
CN106507492A (en) * 2016-11-08 2017-03-15 重庆邮电大学 Based on the industry wireless network definitiveness transmission dispatching method that priority is distributed

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
"Scheduling fixed-priority tasks with preemption threshold";Yun Wang.et;《Proceeding Sixth International Conference on Real-Time Computing Systems and Applications》;19991215;全文 *

Also Published As

Publication number Publication date
CN107800646A (en) 2018-03-13

Similar Documents

Publication Publication Date Title
Evangelopoulos et al. Optimal operation of smart distribution networks: A review of models, methods and future research
CN103972896B (en) A kind of load modeling based on demand response and optimal control method
CA2908965A1 (en) Multi-farm wind power generation system
CN105515010B (en) A kind of secondary voltage control method for coordinating and system based on cooperative game
CN109347142B (en) Active power scheduling method for wind power plant
CN103384272A (en) Cloud service distributed data center system and load dispatching method thereof
CN107423133B (en) Data network load distribution method among data centers for reducing power grid loss
CN107968443B (en) AGC control method for wind-solar-fire bundled direct current delivery
CN204741341U (en) Smart electric meter and intelligence electricity generation control system
CN103001219A (en) Optimal coordination control method of multiple flexible alternative current transmission systems (FACTSs) based on trend entropy
CN102510063B (en) Grading frequency regulation control method of interconnected power grid
CN104701990A (en) Intelligent electric meter and intelligent power generation control system
CN103066604B (en) Stair automatic generation control method under factory network coordination mode
CN105591469B (en) A kind of community's microgrid dcs
CN105162170B (en) For how wind farm grid-connected dispatching patcher
CN103138293A (en) Optimal distribution method and system for heat-engine plant plant-level loads
CN103199538A (en) Day-ahead planed multi-scale imminent generation scheduling closed-loop control method
CN107800646B (en) A kind of communication task adaptive optimization dispatching method for supporting dynamic flow to control
CN104659789A (en) Two-dimensional control method for power factors of distributed power sources in power distribution network
CN103259280B (en) Achievement method for direct current centralized control center applied to large-scale direct current output
Huang et al. On quality of usage provisioning for electricity scheduling in microgrids
CN104201704A (en) Method for determining reserve capacity of regional power grid containing small hydropower group and wind power
CN103413192A (en) Unit dispatching method based on power grid dispatching automatic system power load curve
CN105743134A (en) Adaptive quick regulation photovoltaic AVC (automatic voltage control) method
CN104578175B (en) AGC control method for power grid standby adjustment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP01 Change in the name or title of a patent holder

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

CP01 Change in the name or title of a patent holder
TR01 Transfer of patent right

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

TR01 Transfer of patent right