CN106095550A - A kind of calculating method for scheduling task and device - Google Patents

A kind of calculating method for scheduling task and device Download PDF

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Publication number
CN106095550A
CN106095550A CN201610398415.8A CN201610398415A CN106095550A CN 106095550 A CN106095550 A CN 106095550A CN 201610398415 A CN201610398415 A CN 201610398415A CN 106095550 A CN106095550 A CN 106095550A
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China
Prior art keywords
operational module
task
business
module
offline business
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CN201610398415.8A
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Chinese (zh)
Inventor
陈曦
高巍
范利平
牛磊
林晓刚
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Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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Priority to CN201610398415.8A priority Critical patent/CN106095550A/en
Publication of CN106095550A publication Critical patent/CN106095550A/en
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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
    • G06F9/48Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • G06F9/4843Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • 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
    • G06F9/30Arrangements for executing machine instructions, e.g. instruction decode
    • G06F9/30003Arrangements for executing specific machine instructions
    • G06F9/30007Arrangements for executing specific machine instructions to perform operations on data operands

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

Abstract

The invention discloses a kind of calculating method for scheduling task and device, described method includes: the calculating task of each business is scheduled to operational module in each storage device of being deployed in cloud storage system respectively, so that operational module is by multiplexing institute calculating resource on a storage device, complete the process to calculating task.Apply scheme of the present invention, it is possible to reduce resource and the consumption etc. of cost.

Description

A kind of calculating method for scheduling task and device
[technical field]
The present invention relates to Computer Applied Technology, calculate method for scheduling task and device particularly to one.
[background technology]
Store the files such as substantial amounts of user video, picture on cloud storage system, along with the development evolution of product, need There is provided substantial amounts of computing capability that the file of user is processed, as video code conversion, file decompression, pictorial information extract Deng.
In prior art, generally use and build the mode of physical computing cluster to provide above-mentioned computing capability, turn with video As a example by Ma, need to develop the framework that a set of video code conversion is special, it is anticipated that video code conversion scale, Quantity arrives hundreds of Thousand of physical equipment clusters is used for computing, and this needs to expend huge resource and cost.
[summary of the invention]
The invention provides a kind of calculating method for scheduling task and device, it is possible to reduce resource and the consumption of cost.
Concrete technical scheme is as follows:
A kind of calculating method for scheduling task, including:
The calculating task of each business is scheduled to respectively the Working mould in each storage device of being deployed in cloud storage system Block, in order to described operational module, by multiplexing institute calculating resource on a storage device, completes the process to calculating task.
According to one preferred embodiment of the present invention, described business includes: offline business and at line service;
Described calculating task includes: off-line task and online task.
According to one preferred embodiment of the present invention, when calculating task is off-line task, task scheduling will be calculated to described work Include as module:
Receive described operational module and pulling the dispatch request sent before off-line task every time, draw needed for determining this The offline business taken, carries the offline business determined mark and returns to described operational module in dispatch command, in order to institute State operational module and pull the off-line task that described offline business mark is corresponding.
According to one preferred embodiment of the present invention, described determine that the offline business pulled needed for this includes:
Arranging dispatching cycle, each dispatching cycle is divided into N number of continuous print time period, the value of N is equal to offline business Number, the most corresponding offline business of each time period;
When receiving the dispatch request from described operational module, determine the time period being presently in, and by residing Offline business corresponding to time period is defined as the offline business pulled needed for this.
According to one preferred embodiment of the present invention, the method farther includes:
For needing the independent offline business calculated, from each operational module, select part operational module, when receiving When the operational module selected sends the dispatch request come, it would be desirable to the independent offline business mark calculated is carried in dispatch command Return to selected operational module, in order to selected operational module pulls needs the independent offline business calculated mark correspondence Off-line task.
According to one preferred embodiment of the present invention, the method farther includes:
When the resource using status of place storage device exceedes off-line alarm threshold, described operational module no longer obtains appoints The off-line task of He Xin, until the resource using status of place storage device is less than described off-line alarm threshold.
According to one preferred embodiment of the present invention, when calculating task is online task, task scheduling will be calculated to described work Include as module:
When receiving front-end module and sending the online task scheduling request come, select an operational module, by selected Operational module mark carry in dispatch command, be sent to described front-end module, in order to described front-end module is by described online Business is sent to selected operational module.
According to one preferred embodiment of the present invention, select an operational module described in include:
An operational module is selected from the resource pool safeguarded;
Described resource pool by the resource using status of place storage device not less than the operational module group of online alarm threshold Become.
According to one preferred embodiment of the present invention, the method farther includes:
The resource quota of each business is notified to each operational module respectively, in order to described operational module is processing each calculating During task, however, it is determined that the occupation condition of this calculating task exceedes the resource quota of correspondence, then this calculating task of forced termination.
A kind of calculating task scheduling apparatus, including:
First scheduling unit, respectively deposits for be scheduled to the calculating task of each business respectively to be deployed in cloud storage system Operational module on storage equipment, in order to described operational module by multiplexing calculating resource on a storage device, complete meter The process of calculation task.
According to one preferred embodiment of the present invention, described business includes: offline business and at line service;
Described calculating task includes: off-line task and online task.
According to one preferred embodiment of the present invention, when calculating task is off-line task, described first scheduling unit receives institute State operational module and pulling the dispatch request sent before off-line task every time, determine the offline business pulled needed for this, The offline business determined mark is carried in dispatch command, returns to described operational module, in order to described operational module pulls The off-line task that described offline business mark is corresponding.
According to one preferred embodiment of the present invention, described first scheduling unit arranges dispatching cycle, is drawn each dispatching cycle Being divided into N number of continuous print time period, the value of N is equal to offline business number, and the most corresponding offline business of each time period, when connecing When receiving the dispatch request from described operational module, determine the time period being presently in, and by corresponding for the residing time period Offline business is defined as the offline business pulled needed for this.
According to one preferred embodiment of the present invention, described first scheduling unit is further used for,
For needing the independent offline business calculated, from each operational module, select part operational module, when receiving When the operational module selected sends the dispatch request come, it would be desirable to the independent offline business mark calculated is carried in dispatch command Return to selected operational module, in order to selected operational module pulls needs the independent offline business calculated mark correspondence Off-line task.
According to one preferred embodiment of the present invention, when calculating task is online task, described first scheduling unit is receiving Send the online task scheduling request come to front-end module after, select an operational module, by selected operational module mark Carry in dispatch command, be sent to described front-end module, in order to described online task is sent to selected by described front-end module Operational module.
According to one preferred embodiment of the present invention, described first scheduling unit selects a job from the resource pool safeguarded Module;
Described resource pool by the resource using status of place storage device not less than the operational module group of online alarm threshold Become.
According to one preferred embodiment of the present invention, described device farther includes:
Second scheduling unit, for notifying to each operational module respectively by the resource quota of each business, in order to described work Module is when processing each calculating task, however, it is determined that the occupation condition of this calculating task exceedes the resource quota of correspondence, then This calculating task of forced termination.
It can be seen that use scheme of the present invention, map out the work module on a storage device by described above, will be each The calculating task of business is scheduled to each operational module respectively, the meter that each operational module can be left unused on a storage device by multiplexing Calculate resource, complete the process to the task of calculating, thus in the way of near-zero cost, got substantial amounts of computing capability, compare In prior art, it is not necessary to build physical computing cluster the most specially, and then significantly reduce the consumption to resource and cost, and carry The high resource utilization of storage device, and, use scheme of the present invention, off-line can be realized and mix portion with online multitask Scheduling, both provides great convenience to the exploitation of various calculating tasks, deployment, O&M.
[accompanying drawing explanation]
Fig. 1 is the flow chart that the present invention calculates method for scheduling task embodiment.
Fig. 2 is off-line task scheduling mode schematic diagram of the present invention.
Fig. 3 is the present invention online task scheduling mode schematic diagram.
Fig. 4 is the composition structural representation that the present invention calculates task scheduling apparatus embodiment.
[detailed description of the invention]
Cloud storage system, in order to store user file, has the storage device cluster of substantial amounts, owing to being mainly used in depositing Storage file, therefore to be that disk takies comparison high for the common feature of these storage devices, but calculates resource such as CPU (CPU, Central Processing Unit) etc. exist a large amount of idle, thus cause the huge waste calculating resource.
For the problems referred to above, propose a kind of general-purpose computing system, i.e. mammoth system, wherein comprise the steps that operational module (mammoth worker), scheduler module (mammoth observer) and front-end module (mommoth front) etc., by respectively Cooperating between module, completes the various process such as task access, task scheduling and task computation.
Wherein, front-end module is mainly responsible for task and is accessed, and scheduler module is mainly responsible for task scheduling, and operational module is mainly born Responsibility business processes (task computation).
Operational module and scheduler module all can be deployed in the storage device in cloud storage system, and number is multiple, For each storage device, can dispose in operational module or scheduler module above, the number of scheduler module is led to Often far fewer than the number of operational module, each scheduler module can distinguish corresponding multiple operational module, i.e. for being the multiple of correspondence Operational module provides dispatch service.
Operational module may utilize calculating resource idle in storage device and processes calculating task, thus without again Build physical computing cluster specially, and then significantly reduce the consumption to resource and cost, and improve the money of storage device Source utilization rate.
In order to make technical scheme clearer, clear, develop simultaneously embodiment referring to the drawings, to institute of the present invention The scheme of stating is described in further detail.
Embodiment one
Fig. 1 is the flow chart that the present invention calculates method for scheduling task embodiment, as it is shown in figure 1, include implementations below:
In 11, the calculating task of each business is scheduled to each storage being deployed in cloud storage system by scheduler module respectively Operational module on equipment;
In 12, operational module, by multiplexing institute calculating resource on a storage device, completes the process to calculating task.
Above-mentioned business comprises the steps that offline business and at line service, correspondingly, calculating task comprise the steps that off-line task and Line task.
According to the difference of calculating task type, scheduler module can use different scheduling strategies, be introduced individually below.
One) off-line task
Fig. 2 is off-line task scheduling mode schematic diagram of the present invention, as in figure 2 it is shown, scheduler module receives operational module often Secondary pull the dispatch request sent before off-line task, determine the offline business pulled needed for this, the off-line that will determine Service identification carries and returns to operational module in dispatch command, in order to operational module pulls the off-line that offline business mark is corresponding Task.
Operational module, pulling off-line task before every time, all can send dispatch request to scheduler module, i.e. can inquire tune Degree this task of needing to pull which offline business of module, scheduler module receives after the inquiry request of operational module, First determine the offline business pulled needed for this, backward operational module return dispatch command, wherein carry and determine Offline business mark, notify that operational module goes to pull the task of which offline business in this way.
Operational module receives after the dispatch command of scheduler module, can pull in dispatch command from message-oriented middleware The off-line task of the offline business mark correspondence carried, the off-line task in message-oriented middleware can be to send out after front-end module receives Deliver in message-oriented middleware.
Front-end module is responsible for task and is accessed, and by interacting with user, obtains all types of tasks that user issues.Front end The off-line task received can be sent in message-oriented middleware by module.
Scheduler module receives operational module after pulling the dispatch request sent before off-line task every time, the most really The offline business determining to pull needed for this can be decided according to the actual requirements, such as: arranges dispatching cycle, is drawn each dispatching cycle Being divided into N number of continuous print time period, the value of N is equal to offline business number, and the most corresponding offline business of each time period, when connecing When receiving the dispatch request from operational module, determine the time period being presently in, and by the offline business corresponding this time period It is defined as the offline business pulled needed for this.
For pending each offline business, the resource distribution ratio of each offline business can be determined according to amount of calculation size etc. Example, resource allocation proportion is the biggest, and the duration of corresponding time period is the longest, such as, it is assumed that have two offline business, be respectively from Line service A and offline business B, the resource allocation proportion of offline business A and offline business B is 3:7, then offline business A is corresponding The ratio of duration of the duration of time period time period corresponding with offline business B be also 3:7, for each operational module, In each dispatching cycle, within the time period that offline business A is corresponding, this operational module only can pull the off-line of offline business A and appoint Business, within the time period that offline business B is corresponding, this operational module only can pull the off-line task of offline business B.
The resource allocation proportion of each offline business can be determined by user and be saved in scheduler module afterwards, and can according to from Described resource allocation proportion is dynamically adjusted by the amount of calculation change etc. of the change of line service number and offline business.
By the way, it is achieved that multi-service mixes the calculating scheduling in portion, and achieves the resource use point between each business Join.
Distinguishingly, some offline business is too high due to resource consumption, does not reaches the condition calculated with other business portion of mixing, right Need the independent offline business calculated in this, the present embodiment proposes a kind of dynamic isolation mechanism.
Described dynamic isolation mechanism includes: the offline business independently calculated for needs, selects portion from each operational module Divide operational module, when receiving selected operational module and sending the dispatch request come, it would be desirable to the independent off-line industry calculated Business mark is carried and is returned to selected operational module in dispatch command, in order to selected operational module pulls and needs independence The off-line task of the offline business mark correspondence calculated.
It is to say, for selected operational module, when it sends dispatch request, scheduler module is the most only notified that every time It goes to pull the off-line task needing the independent offline business calculated.
How scheduler module selects part operational module can be decided according to the actual requirements, and such as can select part work at random Module, depending on the particular number of selected operational module is also dependent on being actually needed.
It addition, each operational module all can monitor the resource using status of place storage device in real time, when resource uses shape When state exceedes off-line alarm threshold, can no longer obtain any new off-line task, until resource using status is guarded against less than off-line Threshold value.
Described resource using status comprises the steps that CPU usage, network io, disk io, number of processes etc., uses for CPU Each state parameter such as rate, can be respectively provided with an alarm threshold, once has a state parameter to exceed the alarm threshold of correspondence, Then it is believed that resource using status exceedes off-line alarm threshold.
Described resource using status specifically includes the concrete value of which content and each alarm threshold can be according to actual need Depending on Yaoing.
2) online task
Fig. 3 is the present invention online task scheduling mode schematic diagram, as it is shown on figure 3, scheduler module receiving front-end module sends The online task scheduling request come, selects an operational module, selected operational module mark is carried in dispatch command It is sent to front-end module, in order to online task is sent to selected operational module by front-end module.
After front-end module often receives an online task, dispatch request can be sent to scheduler module, inquire scheduler module Which operational module be responsible for this online task of process is, scheduler module receives after the dispatch request of front-end module, can From numerous operational modules, select one process this online task, and the operational module selected mark is carried refer in scheduling Order returns to front-end module, and then by front-end module, this online task is sent to selected operational module.
Scheduler module can safeguard a resource pool, this resource pool by the resource using status of place storage device not less than The operational module composition of line alarm threshold, is receiving after the dispatch request of front-end module, and scheduler module can be from being positioned at money Each operational module in pond, source selects an operational module to process this online task, such as can select a Working mould at random Block.
Each operational module constantly can report the resource using status of place storage device to scheduler module, if a certain work The resource using status of module is the best, i.e. exceedes online alarm threshold, can be removed from resource pool by this operational module, all Line task will not be scheduled to this operational module again.
By the way, it is possible to provide operational module idle as far as possible is given and used at line service, to ensure at line service Real-time etc., and the storage service of storage device effectively can be protected, i.e. prevent from calculating service to former in storage device Some storage services impact.
Depending on the concrete value of described online alarm threshold is also dependent on being actually needed, but the value of online alarm threshold is led to Often less than aforementioned off-line alarm threshold, so, for operational module, receives new online task by first stopping, then stops Pull new off-line task.
It addition, either offline business is still at line service, scheduler module can in advance by the resource quota of each business respectively Notice is to each operational module, in order to each operational module is when processing each calculating task, however, it is determined that the resource of this calculating task accounts for Exceed the resource quota of correspondence by situation, then can this calculating task of forced termination.
The resource quota of each business is consulted to determine the most in advance, once finds a certain during actual calculating The occupation condition of calculating task exceedes the resource quota consulting in advance to determine, then in order to other business just prevent Often process and impact, can this calculating task of forced termination, to eliminate abnormal process.
Either off-line task or online task, operational module all can be by multiplexing institute calculating money on a storage device Source, completes the process to task, how to carry out being processed as prior art.
Embodiment two
Fig. 4 is the composition structural representation that the present invention calculates task scheduling apparatus embodiment, this calculating task scheduling apparatus I.e. corresponding to the scheduler module in aforementioned mammoth system, as shown in Figure 4, including: the first scheduling unit 41, also can be further Including: the second scheduling unit 42.
First scheduling unit 41, each for be scheduled to the calculating task of each business respectively to be deployed in cloud storage system Operational module in storage device, in order to operational module by multiplexing calculating resource on a storage device, complete calculating The process of task.
Above-mentioned business comprises the steps that offline business and at line service, correspondingly, calculating task comprise the steps that off-line task and Line task.
According to the difference of calculating task type, the first scheduling unit 41 can use different scheduling strategies.
When calculating task is off-line task, the first scheduling unit 41 receive operational module pull every time off-line task it The dispatch request that front transmission comes, determines the offline business pulled needed for this, the offline business determined mark is carried and is adjusting Degree instruction returns to operational module, in order to operational module pulls the off-line task that offline business mark is corresponding.
Operational module, pulling off-line task before every time, all can send dispatch request to the first scheduling unit 41, i.e. can Inquiring this task of needing to pull which offline business of the first scheduling unit 41, the first scheduling unit 41 receives from work Module inquiry request after, it is first determined go out the offline business pulled needed for this, backward operational module return dispatch command, Wherein carry the offline business mark determined, notify that operational module goes to pull which offline business in this way Task.
Operational module receives after the dispatch command of the first scheduling unit 41, can pull scheduling from message-oriented middleware The off-line task of the offline business mark correspondence carried in instruction, the off-line task in message-oriented middleware can be that front-end module receives It is sent in message-oriented middleware after to.
Front-end module is responsible for task and is accessed, and by interacting with user, obtains all types of tasks that user issues.Front end The off-line task received can be sent in message-oriented middleware by module.
First scheduling unit 41 receives operational module after pulling the dispatch request sent before off-line task every time, How determine that the offline business pulled needed for this can be decided according to the actual requirements, such as: dispatching cycle is set, by each scheduling Cycle is divided into N number of continuous print time period, and the value of N is equal to offline business number, the most corresponding off-line industry of each time period Business, when receiving the dispatch request from operational module, determines the time period being presently in, and by corresponding for this time period from Line service is defined as the offline business pulled needed for this.
For pending each offline business, the resource distribution ratio of each offline business can be determined according to amount of calculation size etc. Example, resource allocation proportion is the biggest, and the duration of corresponding time period is the longest.The resource allocation proportion of each offline business can be true by user Reserve and be saved in afterwards in the first scheduling unit 41, and can be according to the change of offline business number and the amount of calculation change etc. of offline business Described resource allocation proportion is dynamically adjusted.
By the way, it is achieved that multi-service mixes the calculating scheduling in portion, and achieves the resource use point between each business Join.
Distinguishingly, some offline business is too high due to resource consumption, does not reaches the condition calculated with other business portion of mixing, right Need the independent offline business calculated in this, the present embodiment proposes a kind of dynamic isolation mechanism.
For needing the independent offline business calculated, the first scheduling unit 41 selects part Working mould from each operational module Block, when receiving selected operational module and sending the dispatch request come, it would be desirable to the independent offline business mark calculated is taken Band returns to selected operational module in dispatch command, in order to selected operational module pull need independent calculate from The off-line task that line service mark is corresponding.
It is to say, for selected operational module, when it sends dispatch request, the first scheduling unit 41 is all only every time It is notified that it goes to pull the off-line task needing the independent offline business calculated.
How first scheduling unit 41 selects part operational module can be decided according to the actual requirements, and such as can select portion at random Divide operational module, depending on the particular number of selected operational module is also dependent on being actually needed.
When calculating task is online task, the first scheduling unit 41 is receiving the online task that front-end module transmission comes After dispatch request, select an operational module, selected operational module mark is carried in dispatch command, is sent to front end Module, in order to online task is sent to selected operational module by front-end module.
After front-end module often receives an online task, dispatch request can be sent to the first scheduling unit 41, inquiry the Which operational module what one scheduling unit 41 was responsible for this online task of process is, the first scheduling unit 41 receives from front end mould After the dispatch request of block, one can be selected from numerous operational modules and process this online task, and the Working mould that will select Block identification carries and returns to front-end module in dispatch command, and then is sent to selected by front-end module by this online task Operational module.
First scheduling unit 41 can safeguard a resource pool, and this resource pool is by the resource using status of place storage device not Exceed the operational module composition of online alarm threshold, receiving after the dispatch request of front-end module, the first scheduling unit 41 can select an operational module to process this online task from each operational module being positioned at resource pool, such as can select at random Go out an operational module.
By the way, it is possible to provide operational module idle as far as possible is given and used at line service, to ensure at line service Real-time etc., and the storage service of storage device effectively can be protected, i.e. prevent from calculating service to former in storage device Some storage services impact.
It addition, either offline business is still at line service, the resource of each business can be joined by the second scheduling unit 42 in advance Volume notifies to each operational module respectively, in order to each operational module is when processing each calculating task, however, it is determined that this calculating task Occupation condition exceedes the resource quota of correspondence, then can this calculating task of forced termination.
The resource quota of each business is consulted to determine the most in advance, once finds a certain during actual calculating The occupation condition of calculating task exceedes the resource quota consulting in advance to determine, then in order to other business just prevent Often process and impact, can this calculating task of forced termination, to eliminate abnormal process.
In a word, using scheme of the present invention, map out the work module on a storage device, the calculating task of each business is divided It is not scheduled to each operational module, the calculating resource that each operational module can be left unused on a storage device by multiplexing, complete meter The process of calculation task, thus in the way of near-zero cost, got substantial amounts of computing capability, compared to prior art, it is not necessary to Build physical computing cluster the most specially, and then significantly reduce the consumption to resource and cost, and improve storage device Resource utilization, and, use scheme of the present invention, off-line can be realized and mix ministry dispatching, to various meters with online multitask The exploitation of calculation task, deployment, O&M both provide great convenience.
In several embodiments provided by the present invention, it should be understood that disclosed apparatus and method, can be passed through it Its mode realizes.Such as, device embodiment described above is only schematically, such as, and the division of described unit, only Being only a kind of logic function to divide, actual can have other dividing mode when realizing.
The described unit illustrated as separating component can be or may not be physically separate, shows as unit The parts shown can be or may not be physical location, i.e. may be located at a place, or can also be distributed to multiple On NE.Some or all of unit therein can be selected according to the actual needs to realize the mesh of the present embodiment scheme 's.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it is also possible to It is that unit is individually physically present, it is also possible to two or more unit are integrated in a unit.Above-mentioned integrated list Unit both can realize to use the form of hardware, it would however also be possible to employ hardware adds the form of SFU software functional unit and realizes.
The above-mentioned integrated unit realized with the form of SFU software functional unit, can be stored in an embodied on computer readable and deposit In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions with so that a computer Equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) perform the present invention each The part steps of method described in embodiment.And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. each Plant the medium that can store program code.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention Within god and principle, any modification, equivalent substitution and improvement etc. done, within should be included in the scope of protection of the invention.

Claims (17)

1. one kind calculates method for scheduling task, it is characterised in that including:
The calculating task of each business is scheduled to respectively the operational module in each storage device of being deployed in cloud storage system, with Toilet states operational module by multiplexing institute calculating resource on a storage device, completes the process to calculating task.
Method the most according to claim 1, it is characterised in that
Described business includes: offline business and at line service;
Described calculating task includes: off-line task and online task.
Method the most according to claim 2, it is characterised in that
When calculating task is off-line task, include calculating task scheduling to described operational module:
Receive described operational module and pulling the dispatch request sent before off-line task every time, pull needed for determining this Offline business, carries the offline business determined mark and returns to described operational module in dispatch command, in order to described work The off-line task that described offline business mark is corresponding is pulled as module.
Method the most according to claim 3, it is characterised in that
Described determine that the offline business pulled needed for this includes:
Arranging dispatching cycle, each dispatching cycle is divided into N number of continuous print time period, the value of N is equal to offline business number, often The most corresponding offline business of individual time period;
When receiving the dispatch request from described operational module, determine the time period being presently in, and by the residing time The offline business of section correspondence is defined as the offline business pulled needed for this.
Method the most according to claim 3, it is characterised in that
The method farther includes:
For needing the independent offline business calculated, from each operational module, select part operational module, selected when receiving Operational module when sending the dispatch request come, it would be desirable to the independent offline business mark calculated is carried and is returned in dispatch command To selected operational module, in order to selected operational module pull need the independent offline business calculated mark corresponding from Line task.
Method the most according to claim 2, it is characterised in that
The method farther includes:
When the resource using status of place storage device exceedes off-line alarm threshold, described operational module no longer obtain any newly Off-line task, until the resource using status of place storage device is less than described off-line alarm threshold.
Method the most according to claim 2, it is characterised in that
When calculating task is online task, include calculating task scheduling to described operational module:
When receiving front-end module and sending the online task scheduling request come, select an operational module, by selected work Carry as module id in dispatch command, be sent to described front-end module, in order to described online task is sent out by described front-end module Give selected operational module.
Method the most according to claim 7, it is characterised in that
Described select an operational module and include:
An operational module is selected from the resource pool safeguarded;
Described resource pool is made up of not less than the operational module of online alarm threshold the resource using status of place storage device.
9. according to the method according to any one of claim 1~8, it is characterised in that
The method farther includes:
The resource quota of each business is notified to each operational module respectively, in order to described operational module is processing each calculating task Time, however, it is determined that the occupation condition of this calculating task exceedes the resource quota of correspondence, then this calculating task of forced termination.
10. one kind calculates task scheduling apparatus, it is characterised in that including:
First scheduling unit, sets for each storage being scheduled to the calculating task of each business respectively be deployed in cloud storage system A standby upper operational module, in order to described operational module, by multiplexing institute calculating resource on a storage device, completes calculating times The process of business.
11. devices according to claim 10, it is characterised in that
Described business includes: offline business and at line service;
Described calculating task includes: off-line task and online task.
12. devices according to claim 11, it is characterised in that
When calculating task is off-line task, described first scheduling unit receives described operational module and is pulling off-line task every time The dispatch request before sent, determines the offline business pulled needed for this, the offline business determined mark is carried Dispatch command returns to described operational module, in order to the off-line that described operational module pulls described offline business mark corresponding is appointed Business.
13. devices according to claim 12, it is characterised in that
Described first scheduling unit arranges dispatching cycle, and each dispatching cycle is divided into N number of continuous print time period, the value of N Equal to offline business number, the most corresponding offline business of each time period, when receiving the scheduling from described operational module During request, determine the time period being presently in, and pull needed for the offline business corresponding residing time period is defined as this Offline business.
14. devices according to claim 12, it is characterised in that
Described first scheduling unit is further used for,
For needing the independent offline business calculated, from each operational module, select part operational module, selected when receiving Operational module when sending the dispatch request come, it would be desirable to the independent offline business mark calculated is carried and is returned in dispatch command To selected operational module, in order to selected operational module pull need the independent offline business calculated mark corresponding from Line task.
15. devices according to claim 11, it is characterised in that
When calculating task is online task, described first scheduling unit is receiving the online task tune that front-end module transmission comes After degree request, select an operational module, selected operational module mark is carried be sent in dispatch command described before End module, in order to described online task is sent to selected operational module by described front-end module.
16. devices according to claim 15, it is characterised in that
Described first scheduling unit selects an operational module from the resource pool safeguarded;
Described resource pool is made up of not less than the operational module of online alarm threshold the resource using status of place storage device.
17. according to the device according to any one of claim 10~16, it is characterised in that
Described device farther includes:
Second scheduling unit, for notifying to each operational module respectively by the resource quota of each business, in order to described operational module When processing each calculating task, however, it is determined that the occupation condition of this calculating task exceedes the resource quota of correspondence, then force Terminate this calculating task.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020001320A1 (en) * 2018-06-27 2020-01-02 阿里巴巴集团控股有限公司 Resource allocation method, device, and apparatus
CN111435943A (en) * 2019-01-14 2020-07-21 阿里巴巴集团控股有限公司 Data processing method, device, system and storage medium
WO2021088207A1 (en) * 2019-11-04 2021-05-14 深圳先进技术研究院 Mixed deployment-based job scheduling method and apparatus for cloud computing cluster, server and storage device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101072133A (en) * 2007-05-23 2007-11-14 华中科技大学 High-performance computing system based on peer-to-peer network
CN101441580A (en) * 2008-12-09 2009-05-27 华北电网有限公司 Distributed paralleling calculation platform system and calculation task allocating method thereof
US20120185848A1 (en) * 2011-01-17 2012-07-19 International Business Machines Corporation Task prioritization management in a virtualized environment
CN104102543A (en) * 2014-06-27 2014-10-15 北京奇艺世纪科技有限公司 Load regulation method and load regulation device in cloud computing environment
CN105260244A (en) * 2015-10-30 2016-01-20 北京奇艺世纪科技有限公司 Task scheduling method and device for distributed system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101072133A (en) * 2007-05-23 2007-11-14 华中科技大学 High-performance computing system based on peer-to-peer network
CN101441580A (en) * 2008-12-09 2009-05-27 华北电网有限公司 Distributed paralleling calculation platform system and calculation task allocating method thereof
US20120185848A1 (en) * 2011-01-17 2012-07-19 International Business Machines Corporation Task prioritization management in a virtualized environment
CN104102543A (en) * 2014-06-27 2014-10-15 北京奇艺世纪科技有限公司 Load regulation method and load regulation device in cloud computing environment
CN105260244A (en) * 2015-10-30 2016-01-20 北京奇艺世纪科技有限公司 Task scheduling method and device for distributed system

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020001320A1 (en) * 2018-06-27 2020-01-02 阿里巴巴集团控股有限公司 Resource allocation method, device, and apparatus
CN110647394A (en) * 2018-06-27 2020-01-03 阿里巴巴集团控股有限公司 Resource allocation method, device and equipment
CN110647394B (en) * 2018-06-27 2022-03-11 阿里巴巴集团控股有限公司 Resource allocation method, device and equipment
CN111435943A (en) * 2019-01-14 2020-07-21 阿里巴巴集团控股有限公司 Data processing method, device, system and storage medium
CN111435943B (en) * 2019-01-14 2022-07-19 阿里巴巴集团控股有限公司 Data processing method, device, system and storage medium
WO2021088207A1 (en) * 2019-11-04 2021-05-14 深圳先进技术研究院 Mixed deployment-based job scheduling method and apparatus for cloud computing cluster, server and storage device

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