CN106407004A - Task scheduling method and scheduling method for remote concentrated measurement - Google Patents

Task scheduling method and scheduling method for remote concentrated measurement Download PDF

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CN106407004A
CN106407004A CN201610760333.3A CN201610760333A CN106407004A CN 106407004 A CN106407004 A CN 106407004A CN 201610760333 A CN201610760333 A CN 201610760333A CN 106407004 A CN106407004 A CN 106407004A
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server
tasks
client
metering
scale point
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CN106407004B (en
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岳小虎
赵艳清
祈云东
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SHANDONG TALENT SOFTWARE Co Ltd
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SHANDONG TALENT SOFTWARE Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/5038Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration

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  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a task scheduling device for remote concentrated measurement. The device comprises a scale location client, a scale location monitoring server, a task allocation server, an agent monitoring server and an agent client. The scale location monitoring server, the agent monitoring server, and the task allocation server all adopt architectures consisting of nodejs runtime libraries and redis databases. The task scheduling device for remote concentrated measurement provided by the invention is advanced in architecture, so that a whole computation program for allocating measurement tasks is maximally optimized in computation efficiency and rapid in response speed, and when responding to the high concurrency measurement task, each server is very good in performance and runs stably; and after the architecture is installed, each server program can run directly without other configurations, thus being simple to implement. A task allocation algorithm is reasonable that the measurement tasks can be equally allocated to each agent client.

Description

A kind of task scheduling apparatus for remote centralized metering and dispatching method
Technical field
The present invention relates to remote centralized metering system is and in particular to a kind of metering tasks of automatic distribution each scale point client The task scheduling apparatus for remote centralized metering and dispatching method that in the agent client of far-end, unification focuses on.
Background technology
Existing metering tasks distribution technique permission system on tomcat server based on configuration(Permissions data is saved in Mysql data base), permission system defines the access rights of message server Ipush, and scale point sends task data message to disappearing Breath server, the task server that Delphi writes monitors task message, then dynamically distributes task(Data of attending a banquet and number of tasks According to being saved in oracle database), send task message to attending a banquet in machine program finally by message server.
The subject matter of existing implementation method has:The infrastructure service that the task server of deployment relies on is too many, manual configuration Also very complicated, when going wrong every time, only finding failure cause just needs to spend long time, and the message server relying on Unstable, in order to ensure normal program operation, each server must regularly be restarted, and leads to metering tasks now to be lost.
Content of the invention
For solving the above problems, the present invention provides a kind of framework simple, task scheduling effect high based on remote centralized The task scheduling apparatus of amount and its dispatching method.
The technical scheme is that:A kind of task scheduling apparatus for remote centralized metering, including:
Scale point client:Monitor server to scale point and send metering tasks;
Scale point monitors server:After the metering tasks that receiving scale point client sends, distributed by redis channel message trigger Task server, and return corresponding message id to scale point client;
Attend a banquet monitoring server:Receive the metering tasks that distributed tasks server sends, notify agent client;Reception is attended a banquet The metering tasks that client sends complete order, monitor server by redis channel message informing scale point, are monitored by scale point Server notifies scale point client;
Agent client:Receiving attends a banquet monitors the metering tasks that server sends, and after completing metering tasks, sends metering tasks Complete order to monitoring server of attending a banquet, monitoring server of attending a banquet returns corresponding message id to agent client;
Distributed tasks server:Monitored after the metering tasks triggering that server sends by scale point, search next idle seating Client, then distribution and computation task often attending a banquet under the list of task status redis to corresponding agent client, and pass through Redis channel message informing is attended a banquet monitoring server;
Described scale point monitors server, attend a banquet monitoring server, distributed tasks server all using nodejs Runtime Library+redis Data base's framework.
Further, scale point client is monitored server by socket with scale point and is connected.
Further, agent client is connected with monitoring server of attending a banquet by socket.
Further, attend a banquet and monitor the message dilivery service of setting transmission message between server and scale point monitoring server Device, message dilivery server adopts nodejs Runtime Library+redis data base's framework.
A kind of dispatching method of the task scheduling apparatus for remote centralized metering comprises the following steps:
(1)Scale point client is monitored server to scale point and is sent metering tasks;
(2)After scale point monitors the metering tasks that server receiving scale point client sends, divided by redis channel message trigger Send out task server, and return corresponding message id to scale point client, if scale point client does not receive corresponding message id, return Step(1), otherwise execution step(3);
(3)Distributed tasks server is monitored after the metering tasks triggering that server sends by scale point, searches the next free time and sits Seat client, then distribution and computation task often attending a banquet under the list of task status redis to corresponding agent client, and pass through Redis channel message informing is attended a banquet monitoring server;
(4)Attend a banquet and monitor the metering tasks that server reception distributed tasks server sends, notify agent client;
(5)Agent client receives to attend a banquet monitors the metering tasks that server sends, and completes metering tasks, then sends metering Task completes order to monitoring server of attending a banquet;
(6)The metering tasks that monitoring server reception agent client of attending a banquet sends complete order, and return to agent client Return corresponding message id, if agent client does not receive corresponding message id, return to step(5), otherwise execution step(7);
(7)Monitoring server of attending a banquet monitors server by redis channel message informing scale point, monitors server by scale point and notifies Scale point client.
Further, described scale point monitors server, attend a banquet monitoring server, distributed tasks server all using nodejs Runtime Library+redis data base's framework.
Further, step(6)In attend a banquet monitoring server and scale point monitor server between serviced by message dilivery Device transmits message, and message dilivery server adopts nodejs Runtime Library+redis data base's framework.
Further, distributed tasks server includes the point task stack list of redis scale, activity is attended a banquet redis list, every Task status redis of attending a banquet list.
Further, step(3)Middle distributed tasks server distributed tasks rule includes:
(a)The preferential distribution principle of earliest metering tasks;
(b)By agent client order distribution and computation task, when certain agent client busy, skip this agent client and continue Distribution;
(c)Agent client definition only focuses on certain several scale point client, and distributed tasks server only distributes corresponding scale point client The metering tasks at end are to this agent client;
(d)Metering tasks are returned to after task queue by agent client, preferentially by metering tasks arranged to this agent client.
Provided by the present invention for the task scheduling apparatus of remote centralized metering, using nodejs Runtime Library+redis data Storehouse framework, framework is advanced, makes the calculation procedure of whole metering tasks distribution reach largest optimization, response speed in computational efficiency Hurry up, when responding high concurrent metering tasks, the performance of each server is also very good, stable;And after this framework is installed, each Server program can directly run, and is not required to other configurations, implements simple.In addition rationally, compatibility is strong for each server design, Support that scale point client or agent client send the metering tasks form of multiple format, task can be needed to adjust directly as other The business task scheduling server of degree.The dispatching method task allocation algorithms of this programme rationally, enable each agent client to put down All it is assigned to metering tasks.
Brief description
Fig. 1 is specific embodiment of the invention event flow diagram.
Specific embodiment
The present invention will be described in detail below in conjunction with the accompanying drawings and by specific embodiment, and following examples are to the present invention Explanation, and the invention is not limited in implementation below.
As shown in figure 1, provided by the present invention for remote centralized metering task scheduling apparatus, including scale point client, Scale point monitors server, distributed tasks server, message dilivery server, attend a banquet monitoring server and agent client.
Scale point client:Monitor server to scale point and send metering tasks.
Scale point monitors server:After the metering tasks that receiving scale point client sends, by redis channel message trigger Distributed tasks server, and return corresponding message id to scale point client.
Attend a banquet monitoring server:Receive the metering tasks that distributed tasks server sends, notify agent client;Receive The metering tasks that agent client sends complete order, monitor server by redis channel message informing scale point, by scale point Monitor server and notify scale point client.
Agent client:Receiving attends a banquet monitors the metering tasks that server sends, and after completing metering tasks, sends metering Task completes order to monitoring server of attending a banquet, and monitoring server of attending a banquet returns corresponding message id to agent client.
Distributed tasks server:Monitored after the metering tasks triggering that server sends by scale point, search next idle Agent client, then distribution and computation task often attending a banquet under the list of task status redis to corresponding agent client, and lead to Cross redis channel message informing to attend a banquet monitoring server.
Message dilivery server:It is arranged on and attends a banquet between monitoring server and scale point monitoring server, be used for monitoring of attending a banquet Server monitors server transmission message to scale point.
Scale point monitoring server, monitoring server of attending a banquet, distributed tasks server, message dilivery server all adopt Nodejs Runtime Library+redis data base's framework.Wherein in nodejs Runtime Library, scale point is realized using socket.io and monitor service Between device and scale point client, the real-time Communication for Power monitoring between server and agent client of attending a banquet and customized event notify, I.e. scale point client is monitored server by socket with scale point and is connected, and agent client passes through socket and the service of monitoring of attending a banquet Device connects.Each server preserves metering tasks data and message mechanism in internal memory using redis data base and services at each Transmit message between device, pass through between server to access identical redis and subscribe to corresponding redis Message Channel and send channel message Triggering downstream work.
Provided by the present invention for the dispatching method of the task scheduling apparatus of remote centralized metering, comprise the following steps:
(1)Scale point client is monitored server to scale point and is sent metering tasks;
(2)After scale point monitors the metering tasks that server receiving scale point client sends, divided by redis channel message trigger Send out task server, and return corresponding message id to scale point client, if scale point client does not receive corresponding message id, return Step(1), otherwise execution step(3);
(3)Distributed tasks server is monitored after the metering tasks triggering that server sends by scale point, searches the next free time and sits Seat client, then distribution and computation task often attending a banquet under the list of task status redis to corresponding agent client, and pass through Redis channel message informing is attended a banquet monitoring server;
(4)Attend a banquet and monitor the metering tasks that server reception distributed tasks server sends, notify agent client;
(5)Agent client receives to attend a banquet monitors the metering tasks that server sends, and completes metering tasks, then sends metering Task completes order to monitoring server of attending a banquet;
(6)The metering tasks that monitoring server reception agent client of attending a banquet sends complete order, and return to agent client Return corresponding message id, if agent client does not receive corresponding message id, return to step(5), otherwise execution step(7);
(7)Monitoring server of attending a banquet monitors server by redis channel message informing scale point, monitors server by scale point and notifies Scale point client.
Wherein, distributed tasks server include the point task stack list of redis scale, activity attend a banquet redis list, often attend a banquet The list of task status redis.The event of triggering distributed tasks server work has:Scale point client upload metering tasks data Afterwards, by redis channel message informing;After agent client completes metering tasks, by redis channel message informing.
Step(3)Middle distributed tasks server distributed tasks rule includes:
(a)The preferential distribution principle of earliest metering tasks;
(b)By agent client order distribution and computation task, when certain agent client busy, skip this agent client and continue Distribution;
(c)Agent client definition only focuses on certain several scale point client, and distributed tasks server only distributes corresponding scale point client The metering tasks at end are to this agent client;
(d)Metering tasks are returned to after task queue by agent client, preferentially by metering tasks arranged to this agent client.
This rule setting rationally, makes each agent client be evenly distributed to metering tasks, improves treatment effeciency.
Only the preferred embodiment of the present invention disclosed above, but the present invention is not limited to this, any this area What technical staff can think does not have creative change, and some improvement made without departing from the principles of the present invention and Retouching, all should be within the scope of the present invention.

Claims (9)

1. a kind of task scheduling apparatus for remote centralized metering are it is characterised in that include:
Scale point client:Monitor server to scale point and send metering tasks;
Scale point monitors server:After the metering tasks that receiving scale point client sends, distributed by redis channel message trigger Task server, and return corresponding message id to scale point client;
Attend a banquet monitoring server:Receive the metering tasks that distributed tasks server sends, notify agent client;Reception is attended a banquet The metering tasks that client sends complete order, monitor server by redis channel message informing scale point, are monitored by scale point Server notifies scale point client;
Agent client:Receiving attends a banquet monitors the metering tasks that server sends, and after completing metering tasks, sends metering tasks Complete order to monitoring server of attending a banquet, monitoring server of attending a banquet returns corresponding message id to agent client;
Distributed tasks server:Monitored after the metering tasks triggering that server sends by scale point, search next idle seating Client, then distribution and computation task often attending a banquet under the list of task status redis to corresponding agent client, and pass through Redis channel message informing is attended a banquet monitoring server;
Described scale point monitors server, attend a banquet monitoring server, distributed tasks server all using nodejs Runtime Library+redis Data base's framework.
2. the task scheduling apparatus for remote centralized metering according to claim 1 are it is characterised in that scale point client Monitor server by socket with scale point to be connected.
3. the task scheduling apparatus for remote centralized metering according to claim 1 are it is characterised in that agent client It is connected with monitoring server of attending a banquet by socket.
4. the task scheduling apparatus for remote centralized metering according to claim 1,2 or 3 are it is characterised in that attend a banquet Monitor server and scale point monitors the message dilivery server of setting transmission message between server, message dilivery server adopts Nodejs Runtime Library+redis data base's framework.
5. a kind of dispatching method of the task scheduling apparatus for remote centralized metering is it is characterised in that comprise the following steps:
(1)Scale point client is monitored server to scale point and is sent metering tasks;
(2)After scale point monitors the metering tasks that server receiving scale point client sends, divided by redis channel message trigger Send out task server, and return corresponding message id to scale point client, if scale point client does not receive corresponding message id, return Step(1), otherwise execution step(3);
(3)Distributed tasks server is monitored after the metering tasks triggering that server sends by scale point, searches the next free time and sits Seat client, then distribution and computation task often attending a banquet under the list of task status redis to corresponding agent client, and pass through Redis channel message informing is attended a banquet monitoring server;
(4)Attend a banquet and monitor the metering tasks that server reception distributed tasks server sends, notify agent client;
(5)Agent client receives to attend a banquet monitors the metering tasks that server sends, and completes metering tasks, then sends metering Task completes order to monitoring server of attending a banquet;
(6)The metering tasks that monitoring server reception agent client of attending a banquet sends complete order, and return to agent client Return corresponding message id, if agent client does not receive corresponding message id, return to step(5), otherwise execution step(7);
(7)Monitoring server of attending a banquet monitors server by redis channel message informing scale point, monitors server by scale point and notifies Scale point client.
6. the task scheduling apparatus for remote centralized metering according to claim 5 dispatching method it is characterised in that Described scale point monitors server, attend a banquet monitoring server, distributed tasks server all using nodejs Runtime Library+redis data Storehouse framework.
7. the dispatching method of the task scheduling apparatus for remote centralized metering according to claim 5 or 6, its feature exists In step(6)In attend a banquet monitoring server and scale point monitor server between by message dilivery server transmit message, message Delivery server adopts nodejs Runtime Library+redis data base's framework.
8. the dispatching method of the task scheduling apparatus for remote centralized metering according to claim 5 or 6, its feature exists In distributed tasks server includes the point task stack list of redis scale, activity is attended a banquet redis list, task status of often attending a banquet Redis list.
9. the dispatching method of the task scheduling apparatus for remote centralized metering according to claim 5 or 6, its feature exists In step(3)Middle distributed tasks server distributed tasks rule includes:
(a)The preferential distribution principle of earliest metering tasks;
(b)By agent client order distribution and computation task, when certain agent client busy, skip this agent client and continue Distribution;
(c)Agent client definition only focuses on certain several scale point client, and distributed tasks server only distributes corresponding scale point client The metering tasks at end are to this agent client;
(d)Metering tasks are returned to after task queue by agent client, preferentially by metering tasks arranged to this agent client.
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