CN113822485A - Power distribution network scheduling task optimization method and system - Google Patents

Power distribution network scheduling task optimization method and system Download PDF

Info

Publication number
CN113822485A
CN113822485A CN202111137762.2A CN202111137762A CN113822485A CN 113822485 A CN113822485 A CN 113822485A CN 202111137762 A CN202111137762 A CN 202111137762A CN 113822485 A CN113822485 A CN 113822485A
Authority
CN
China
Prior art keywords
server
distribution network
scheduling
power distribution
slave
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.)
Granted
Application number
CN202111137762.2A
Other languages
Chinese (zh)
Other versions
CN113822485B (en
Inventor
苏桂丰
张建峰
李峰
孙兴波
杨静
张建军
张冲
孔明
刘蕾
蒋仲俊
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.)
Sishui Power Supply Co Of State Grid Shandong Electric Power Co
State Grid Corp of China SGCC
Jining Power Supply Co
Original Assignee
Sishui Power Supply Co Of State Grid Shandong Electric Power Co
State Grid Corp of China SGCC
Jining Power Supply Co
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 Sishui Power Supply Co Of State Grid Shandong Electric Power Co, State Grid Corp of China SGCC, Jining Power Supply Co filed Critical Sishui Power Supply Co Of State Grid Shandong Electric Power Co
Priority to CN202111137762.2A priority Critical patent/CN113822485B/en
Publication of CN113822485A publication Critical patent/CN113822485A/en
Application granted granted Critical
Publication of CN113822485B publication Critical patent/CN113822485B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3024Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a central processing unit [CPU]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3037Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a memory, e.g. virtual memory, cache
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3041Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is an input/output interface
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Engineering & Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Mathematical Physics (AREA)
  • Marketing (AREA)
  • Health & Medical Sciences (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Water Supply & Treatment (AREA)
  • Educational Administration (AREA)
  • Power Sources (AREA)

Abstract

The invention provides a method and a system for optimizing a scheduling task of a power distribution network, wherein the method comprises the following steps: the dispatching server establishes communication links with the master server and the slave server; the dispatching server receives the dispatched dispatching task of the power distribution network; the scheduling server acquires the current load conditions of the master server and the slave server; the load condition comprises CPU utilization rate, memory utilization rate and IO consumption rate; and judging whether the current load condition of the master server exceeds a preset first threshold value or not, and if the current load condition of the master server exceeds the preset first threshold value but does not exceed a preset second threshold value, the scheduling server distributes the received scheduling tasks of the power distribution network to the master server and the slave server according to the current load conditions of the master server and the slave server.

Description

Power distribution network scheduling task optimization method and system
Technical Field
The invention belongs to the technical field of power correlation, and particularly relates to a power distribution network scheduling task optimization method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the advance of intelligent power distribution network construction, the requirement on power distribution network resource optimization configuration is continuously enhanced, and higher requirements are provided for scheduling operation and scheduling optimization of the power distribution network.
At present, in the dispatching process of the power distribution network, a main server generally receives and calculates issued dispatching tasks and distributes the dispatching tasks to each execution unit, and another slave server is used as a standby server and is used when the main server breaks down. However, when the task of the master server is busy, the slave server is in an idle state as a standby server, and the utilization rate of resources is low. Moreover, the performance of the master server is generally higher than that of the slave servers, so that how to implement reasonable configuration of the power distribution network scheduling task to fully utilize the high performance of the master server and improve the utilization rate of the slave server resources is very important.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a system for optimizing a scheduling task of a power distribution network, which can realize reasonable distribution of the scheduling task of the power distribution network by judging whether the load condition of a main server exceeds a preset threshold and combining the load condition of a slave server, not only can realize the full utilization of the high performance of the main server, but also can realize the reasonable use of the resource of the slave server under the condition of higher load of the main server, and improve the resource utilization rate.
In order to achieve the above object, a first aspect of the present invention provides the following technical solution:
the dispatching server establishes communication links with the master server and the slave server;
the dispatching server receives the dispatched dispatching task of the power distribution network;
the scheduling server acquires the current load conditions of the master server and the slave server; the load condition comprises CPU utilization rate, memory utilization rate and IO consumption rate;
and judging whether the current load condition of the master server exceeds a preset first threshold value or not, and if the current load condition of the master server exceeds the preset first threshold value but does not exceed a preset second threshold value, the scheduling server distributes the received scheduling tasks of the power distribution network to the master server and the slave server according to the current load conditions of the master server and the slave server.
Further, the method comprises the step that if the load condition of the current main server does not exceed a preset first threshold value, the scheduling server issues the received scheduling task of the power distribution network to the main server.
Further, the method comprises the step that if the current load condition of the master server exceeds a preset second threshold value, the received scheduling task of the power distribution network is distributed to the slave servers by the scheduling server.
Further, when the current load condition of the master server exceeds a preset first threshold value but does not exceed a preset second threshold value, whether the load condition of the slave server exceeds the preset first threshold value is further judged, and if the load condition of the slave server does not exceed the preset first threshold value, the dispatching server realizes the distribution of the distribution network dispatching task according to the load conditions of the master server and the slave server.
Further, the specific steps of the scheduling server for realizing the distribution of the scheduling tasks of the power distribution network according to the load conditions of the master server and the slave servers are as follows:
determining the dispatched scheduling task quantity of the power distribution network, judging whether the scheduling task quantity of the power distribution network is not less than 2, and if the scheduling task quantity of the power distribution network is less than 2, distributing the scheduling task of the power distribution network to a main server;
if the scheduling task amount of the power distribution network is not less than 2, the scheduling tasks of the power distribution network to be distributed are divided into two groups, each group at least comprises one scheduling task of the power distribution network to be distributed, and the groups of the scheduling tasks of the power distribution network are grouped according to a preset formula of the load conditions of the current master server and the slave server.
Further, the preset formula is as follows:
Figure BDA0003282721080000031
Figure BDA0003282721080000032
wherein ,T1Scheduling task volume, T, of the distribution network to be received for the primary server2For the task volume of scheduling tasks of the distribution network to be received from the server, S1Is the current load value of the primary server, S2The current load value of the slave server, T is the total scheduling task amount of the power distribution network to be distributed currently, T1、T2Are integers.
Further, the load value calculation formula is as follows:
Score=A*cpu%+B*IO%+C*men%
where CPU% represents a usage rate of the CPU, IO% represents a consumption rate of the IO, men% represents a usage rate of the memory, and A, B, C represents weights of the usage rate of the CPU, the consumption rate of the IO, and the usage rate of the memory, respectively.
One or more embodiments provide a power distribution network scheduling task optimization system, including:
a dispatch server configured to: establishing a communication link with a master server and a slave server; receiving a scheduling task of the power distribution network issued by a scheduling center; acquiring the current load conditions of a master server and a slave server; judging the threshold value of the load conditions of the main server and the slave server;
a primary server configured to: receiving and executing a scheduling task of the power distribution network issued by a scheduling server;
a slave server configured to: and receiving and executing the scheduling task of the power distribution network issued by the scheduling server.
An electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions, when executed by the processor, performing the steps of the above method.
A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the above method.
The invention has the beneficial effects that:
whether the load condition of the main server exceeds a preset threshold value or not is judged, and the load condition of the slave server is combined, so that the reasonable distribution of the scheduling tasks of the power distribution network is realized, the high performance of the main server can be fully utilized, the resources of the slave server can be reasonably used under the condition that the load of the main server is high, and the resource utilization rate is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flow chart of the present invention;
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
Example one
As shown in fig. 1, the method for optimizing scheduling tasks of a power distribution network of the present invention includes the following steps:
the dispatching server establishes communication links with the master server and the slave server;
the dispatching server receives and stores the dispatched dispatching task of the power distribution network;
the scheduling server acquires the current load conditions of the master server and the slave server;
judging whether the current load condition of the main server exceeds a preset first threshold value or not, and if not, issuing the received scheduling task of the power distribution network to the main server by the scheduling server;
if the current load condition of the main server exceeds a preset first threshold value but does not exceed a preset second threshold value, the scheduling server distributes the received scheduling tasks of the power distribution network to the main server and the slave servers according to the current load conditions of the main server and the slave servers;
if the current load condition of the master server exceeds a preset second threshold value, the scheduling server distributes the received scheduling tasks of the power distribution network to the slave servers;
specifically, the scheduling server receives a starting signal of an administrator; generating a registration instruction according to the starting signal, sending the registration instruction to the master server and the slave server, and establishing a communication link with the scheduling server after the master server and the slave server receive the registration instruction; the registration instruction comprises an IP address, and the IP address is a unique identifier of the server.
In addition, the dispatching server distributes dispatching tasks of the power distribution network to the master server and/or the slave servers in a mode of sending instructions. The instruction comprises a scheduling task of the power distribution network and an IP address of the server.
The scheduling server acquires the load conditions of the master server and the slave server in real time, wherein the load conditions comprise CPU (Central processing Unit) use, memory use and IO (input/output) consumption, the scheduling server calculates the total load condition of the current master server according to the acquired conditions of the CPU use, the memory use and the IO consumption of the master/slave servers and a pre-stored calculation formula, and the pre-stored calculation formula is as follows:
Score=A*cpu%+B*IO%+C*men%
wherein, Score represents a load value, CPU% represents a CPU usage rate, IO% represents an IO consumption rate, and men% represents a memory usage rate, and A, B, C represents weights of the CPU usage rate, the IO consumption rate, and the memory usage rate, respectively, wherein A, B, C is added to 1, a higher weight represents a higher priority, and for example, compared with the case of the CPU usage rate, the higher CPU usage rate represents the overall load of the server, and the weighting factor a is greater than B. In this embodiment, the weighting factor is not specifically limited, and may be specifically set according to the actual situation. For example A, B, C is 0.5, 0.3 and 0.2, respectively, and may also be 0.3, 0.4 and 0.3.
Further, a server load value is obtained according to a calculation formula of the load condition of the server, generally, the performance of the master server is better than that of the slave server, in order to fully utilize the superior performance of the master server, a first threshold value is set, the load value of the master server is compared with the first threshold value, if the current load value of the master server does not exceed the preset first threshold value, the current load value represents that the master server is in a low-load condition at present, a scheduling task for processing a new power distribution network can be received, and the scheduling task issued by the scheduling center is distributed to the master server by the scheduling server. In this embodiment, the first threshold is not specifically limited, and may be set according to actual situations.
When the load value of the main server received by the scheduling server is greater than the first preset value but less than the second preset threshold value, the load value represents that the current main server is in a medium load condition, and the load value represents that the main server can receive a certain amount of scheduling tasks. In this embodiment, the value of the second preset threshold is not specifically limited, and may be set according to the actual situation, where the second preset threshold is greater than the first preset threshold.
And the dispatching server acquires the current load condition of the slave server, and if the current load condition of the slave server is smaller than a first preset value, the dispatching task of the power distribution network is distributed to the slave server.
If the load condition of the slave server at this time is not less than the first preset threshold, the scheduling server performs allocation of the scheduling task according to the load conditions of the master server and the slave server at this time and the scheduling task amount of the current power distribution network, specifically:
determining the task quantity Z of the scheduling tasks of the power distribution network, and judging whether the task quantity Z is not less than 2, if the task quantity Z of the power distribution network is less than 2, the scheduling server distributes the scheduling tasks of the power distribution network to the master server because the performance of the master server is better than that of the slave servers;
if the scheduling task amount Z of the power distribution network is not less than 2, the scheduling tasks of the power distribution network to be distributed are divided into two groups, each group at least comprises one scheduling task of the power distribution network to be distributed, and the scheduling tasks of the power distribution network are grouped according to the load states of the current master server and the slave servers.
The specific grouping of the scheduling tasks of the power distribution network is as follows:
Figure BDA0003282721080000071
Figure BDA0003282721080000072
wherein ,T1Scheduling task volume, T, of the distribution network to be received for the primary server2For the task volume of scheduling tasks of the distribution network to be received from the server, S1Is the current load value of the primary server, S2The current load value of the slave server, T is the total scheduling task amount of the power distribution network to be distributed currently, T1、T2The specific rounding rule is not particularly limited, and may be rounded, for example.
Further, when the load state of the current master server acquired by the scheduling server exceeds a preset second threshold, the scheduling task of the power distribution network is distributed to the slave servers.
In addition, when the scheduling server allocates the scheduling tasks of the power distribution network, the scheduling server generates a scheduling instruction for each scheduling task, wherein the scheduling instruction includes an IP address of the server and is sent to the corresponding server according to the IP address for processing.
The dispatch server is also configured to distribute the dispatch tasks to the distribution network when the master server and the slave servers do not fail.
When the scheduling server detects that the main server fails, all scheduling tasks of the current power distribution network are distributed to the slave servers;
when the dispatching server detects that the slave server fails, all the dispatching tasks of the current power distribution network are distributed to the master server.
When the dispatching server detects that the master server and the slave server both have faults, the dispatching server stores dispatching tasks of the power distribution network to be distributed and waits for the master server/the slave server to remove the faults.
The method also comprises the step that the master server and the slave server execute the scheduling tasks of the power distribution network distributed by the scheduling server.
Example two
This embodiment provides a distribution network scheduling task optimization system, and it includes:
a dispatch server configured to: establishing a communication link with a master server and a slave server; receiving a scheduling task of the power distribution network issued by a scheduling center; acquiring the current load conditions of a master server and a slave server; judging the threshold value of the load conditions of the main server and the slave server;
a primary server configured to: receiving and executing a scheduling task of the power distribution network issued by a scheduling server;
a slave server configured to: and receiving and executing the scheduling task of the power distribution network issued by the scheduling server.
EXAMPLE III
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the power distribution network scheduling task optimization method according to the first embodiment.
Example four
The embodiment provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the steps of the power distribution network scheduling task optimization method according to the first embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. 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. A power distribution network scheduling task optimization method is characterized by comprising the following steps:
the dispatching server establishes communication links with the master server and the slave server;
the dispatching server receives the dispatched dispatching task of the power distribution network;
the scheduling server acquires the current load conditions of the master server and the slave server; the load condition comprises CPU utilization rate, memory utilization rate and IO consumption rate;
and judging whether the current load condition of the master server exceeds a preset first threshold value or not, and if the current load condition of the master server exceeds the preset first threshold value but does not exceed a preset second threshold value, the scheduling server distributes the received scheduling tasks of the power distribution network to the master server and the slave server according to the current load conditions of the master server and the slave server.
2. The method as claimed in claim 1, further comprising the step of sending the received scheduling task of the distribution network to the main server by the scheduling server if the current load condition of the main server does not exceed the preset first threshold.
3. The method as claimed in claim 1, further comprising the step of the dispatch server allocating the received dispatch task for the distribution network to the slave server if the current load condition of the master server exceeds a second predetermined threshold.
4. The method according to claim 1, wherein when the current load condition of the master server exceeds a preset first threshold but does not exceed a preset second threshold, the master server further determines whether the load condition of the slave server exceeds the preset first threshold, and if the load condition of the slave server does not exceed the preset first threshold, the dispatch server allocates the dispatching tasks of the distribution network according to the load conditions of the master server and the slave server.
5. The method as claimed in claim 5, wherein the step of the dispatch server distributing the dispatching task of the distribution network according to the load conditions of the master server and the slave servers comprises the following steps:
determining the dispatched scheduling task quantity of the power distribution network, judging whether the scheduling task quantity of the power distribution network is not less than 2, and if the scheduling task quantity of the power distribution network is less than 2, distributing the scheduling task of the power distribution network to a main server;
if the scheduling task amount of the power distribution network is not less than 2, the scheduling tasks of the power distribution network to be distributed are divided into two groups, each group at least comprises one scheduling task of the power distribution network to be distributed, and the groups of the scheduling tasks of the power distribution network are grouped according to a preset formula of the load conditions of the current master server and the slave server.
6. The method according to claim 1, wherein the predetermined formula is:
Figure FDA0003282721070000021
Figure FDA0003282721070000022
wherein ,T1Scheduling task volume, T, of the distribution network to be received for the primary server2For the task volume of scheduling tasks of the distribution network to be received from the server, S1Is the current load value of the primary server, S2The current load value of the slave server, T is the total scheduling task amount of the power distribution network to be distributed currently, T1、T2Are integers.
7. The method as claimed in claim 6, wherein the load value calculation formula is:
Score=A*cpu%+B*IO%+C*men%
where CPU% represents a usage rate of the CPU, IO% represents a consumption rate of the IO, men% represents a usage rate of the memory, and A, B, C represents weights of the usage rate of the CPU, the consumption rate of the IO, and the usage rate of the memory, respectively.
8. A power distribution network scheduling task optimization system is characterized by comprising:
a dispatch server configured to: establishing a communication link with a master server and a slave server; receiving a scheduling task of the power distribution network issued by a scheduling center; acquiring the current load conditions of a master server and a slave server; judging the threshold value of the load conditions of the main server and the slave server;
a primary server configured to: receiving and executing a scheduling task of the power distribution network issued by a scheduling server;
a slave server configured to: and receiving and executing the scheduling task of the power distribution network issued by the scheduling server.
9. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of a method for scheduling task optimization of an electric distribution network according to any one of claims 1 to 7.
10. A processing apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of a method of scheduling task optimization for a power distribution network according to any of claims 1-7.
CN202111137762.2A 2021-09-27 2021-09-27 Power distribution network scheduling task optimization method and system Active CN113822485B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111137762.2A CN113822485B (en) 2021-09-27 2021-09-27 Power distribution network scheduling task optimization method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111137762.2A CN113822485B (en) 2021-09-27 2021-09-27 Power distribution network scheduling task optimization method and system

Publications (2)

Publication Number Publication Date
CN113822485A true CN113822485A (en) 2021-12-21
CN113822485B CN113822485B (en) 2023-10-20

Family

ID=78921330

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111137762.2A Active CN113822485B (en) 2021-09-27 2021-09-27 Power distribution network scheduling task optimization method and system

Country Status (1)

Country Link
CN (1) CN113822485B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115348322A (en) * 2022-07-11 2022-11-15 深圳市九洲电器有限公司 Data processing method, networking device and computer readable storage medium

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005190133A (en) * 2003-12-25 2005-07-14 Nippon Telegr & Teleph Corp <Ntt> Method for allocating task, method for allocating resource, device for allocating task, device for allocating resource, program, and recording medium having the program recorded thereon
US20070233866A1 (en) * 2006-03-28 2007-10-04 Karen Appleby Method and system for dynamically allocating servers to compute-resources using capacity thresholds
US20090222544A1 (en) * 2008-03-03 2009-09-03 Microsoft Corporation Framework for joint analysis and design of server provisioning and load dispatching for connection-intensive server
CN104009932A (en) * 2014-04-30 2014-08-27 易云捷讯科技(北京)有限公司 Traffic any-ratio load method based on Openflow rule
US20170019300A1 (en) * 2015-07-13 2017-01-19 Senao Networks, Inc. Method and system for auto distribution of workload among a plurality of servers which run web services
CN106411971A (en) * 2015-07-29 2017-02-15 腾讯科技(深圳)有限公司 Load regulation method and device
CN107026907A (en) * 2017-03-30 2017-08-08 上海斐讯数据通信技术有限公司 A kind of load-balancing method, load equalizer and SiteServer LBS
CN107426109A (en) * 2017-06-27 2017-12-01 上海华为技术有限公司 A kind of traffic scheduling method, VNF modules and flow scheduling server
US20190050036A1 (en) * 2017-08-09 2019-02-14 Equinix, Inc. Rack level power control
CN109408227A (en) * 2018-09-19 2019-03-01 平安科技(深圳)有限公司 Load-balancing method, device and storage medium
US20200050485A1 (en) * 2018-08-13 2020-02-13 Twitter, Inc. Load balancing deterministically-subsetted processing resources using fractional loads
CN110955524A (en) * 2019-11-27 2020-04-03 北京网聘咨询有限公司 Optimized scheduling method for server
CN111367693A (en) * 2020-03-13 2020-07-03 苏州浪潮智能科技有限公司 Method, system, device and medium for scheduling plug-in tasks based on message queue

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005190133A (en) * 2003-12-25 2005-07-14 Nippon Telegr & Teleph Corp <Ntt> Method for allocating task, method for allocating resource, device for allocating task, device for allocating resource, program, and recording medium having the program recorded thereon
US20070233866A1 (en) * 2006-03-28 2007-10-04 Karen Appleby Method and system for dynamically allocating servers to compute-resources using capacity thresholds
US20090222544A1 (en) * 2008-03-03 2009-09-03 Microsoft Corporation Framework for joint analysis and design of server provisioning and load dispatching for connection-intensive server
CN104009932A (en) * 2014-04-30 2014-08-27 易云捷讯科技(北京)有限公司 Traffic any-ratio load method based on Openflow rule
US20170019300A1 (en) * 2015-07-13 2017-01-19 Senao Networks, Inc. Method and system for auto distribution of workload among a plurality of servers which run web services
CN106411971A (en) * 2015-07-29 2017-02-15 腾讯科技(深圳)有限公司 Load regulation method and device
CN107026907A (en) * 2017-03-30 2017-08-08 上海斐讯数据通信技术有限公司 A kind of load-balancing method, load equalizer and SiteServer LBS
CN107426109A (en) * 2017-06-27 2017-12-01 上海华为技术有限公司 A kind of traffic scheduling method, VNF modules and flow scheduling server
US20190050036A1 (en) * 2017-08-09 2019-02-14 Equinix, Inc. Rack level power control
US20200050485A1 (en) * 2018-08-13 2020-02-13 Twitter, Inc. Load balancing deterministically-subsetted processing resources using fractional loads
CN109408227A (en) * 2018-09-19 2019-03-01 平安科技(深圳)有限公司 Load-balancing method, device and storage medium
CN110955524A (en) * 2019-11-27 2020-04-03 北京网聘咨询有限公司 Optimized scheduling method for server
CN111367693A (en) * 2020-03-13 2020-07-03 苏州浪潮智能科技有限公司 Method, system, device and medium for scheduling plug-in tasks based on message queue

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张哲宇;周润林;孙斌;胡燕;: "XMPP协议的数据分发网络的负载均衡算法", 北京邮电大学学报, no. 1 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115348322A (en) * 2022-07-11 2022-11-15 深圳市九洲电器有限公司 Data processing method, networking device and computer readable storage medium
CN115348322B (en) * 2022-07-11 2023-07-18 深圳市九洲电器有限公司 Data processing method, networking equipment and computer readable storage medium

Also Published As

Publication number Publication date
CN113822485B (en) 2023-10-20

Similar Documents

Publication Publication Date Title
CN108762896B (en) Hadoop cluster-based task scheduling method and computer equipment
CN105814543B (en) Power balancing for increased load density and improved energy efficiency
CN104468407B (en) Realize the method and apparatus of business platform resource elasticity distribution
CN103812949B (en) A kind of task scheduling towards real-time cloud platform and resource allocation methods and system
US20160378570A1 (en) Techniques for Offloading Computational Tasks between Nodes
CN112817728B (en) Task scheduling method, network device and storage medium
CN112003797B (en) Method, system, terminal and storage medium for improving performance of virtualized DPDK network
CN104102548A (en) Task resource scheduling processing method and task resource scheduling processing system
CN103761146A (en) Method for dynamically setting quantities of slots for MapReduce
CN114448989B (en) Method, device, electronic equipment, storage medium and product for adjusting message distribution
CN103744735B (en) The dispatching method and device of a kind of multi-core resource
CN109766172A (en) A kind of asynchronous task scheduling method and device
CN108984286A (en) A kind of resource regulating method and system of cloud computing platform
CN109933433B (en) GPU resource scheduling system and scheduling method thereof
CN113822485B (en) Power distribution network scheduling task optimization method and system
CN115328612A (en) Resource allocation method, device, equipment and storage medium
CN105207856A (en) Load balancing system and method based on SDN virtual switch
CN103176850A (en) Electric system network cluster task allocation method based on load balancing
CN117909061A (en) Model task processing system and resource scheduling method based on GPU hybrid cluster
CN102819458B (en) A kind of processing method and system of distributed operation order
CN108347341A (en) A kind of acceleration capacity method of adjustment and device for adjusting virtual machine acceleration capacity
CN113407305A (en) Task deployment method and device, electronic equipment and storage medium
CN114546631A (en) Task scheduling method, control method, core, electronic device and readable medium
KR20190061241A (en) Mesos process apparatus for unified management of resource and method for the same
CN113886066A (en) Large calculation task planning method and system under limited resources

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