CN107018175A - The dispatching method and device of mobile cloud computing platform - Google Patents
The dispatching method and device of mobile cloud computing platform Download PDFInfo
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- CN107018175A CN107018175A CN201710020920.3A CN201710020920A CN107018175A CN 107018175 A CN107018175 A CN 107018175A CN 201710020920 A CN201710020920 A CN 201710020920A CN 107018175 A CN107018175 A CN 107018175A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/104—Peer-to-peer [P2P] networks
- H04L67/1074—Peer-to-peer [P2P] networks for supporting data block transmission mechanisms
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Abstract
The invention discloses a kind of dispatching method of mobile cloud computing platform, comprise the following steps：The resource occupation amount of each cloud system system program therein is monitored during one group of cloud system is run；If current resource occupation total amount is higher than default upper limit threshold, resource request amount shared by each in the multiple cloud system system program dynamically changes the execution sequence of this group of cloud system system program so that the execution priority of the execution priority of the less cloud system system program of the resource occupation amount cloud system system program larger higher than resource occupation amount；The larger cloud system system program of resource occupation amount is performed in the idle period of the execution interval of the less multiple cloud system system programs of resource occupation amount；If current resource occupation total amount is less than default lower threshold, recovers or maintain former execution sequence.Also disclose a kind of dispatching device of mobile cloud computing platform, including monitoring module, execution priority scheduler module, vacant working scheduler module and execution priority recovery module.
Description
Technical field
The invention belongs to field of cloud calculation and moving communicating field, and in particular to the dispatching method of mobile cloud computing platform and
Device.
Background technology
Intelligent mobile terminal, such as smart mobile phone, tablet personal computer, portable computer etc., have become the daily shape shadow of people not
From network-termination device.The current intelligent mobile terminal product complete machine update cycle is short, and consumer often averagely 1 year will be more
Renew the mobile terminal product of version.But these usual stacking performance parameters of product for updating, such as CPU operational capabilities, interior
Deposit size, memory capacity, and other hardware（Such as display screen, network adapter）Renewal degree it is relatively low.It is excessively frequently electric
Sub- product, which is replaced, allows consumer to bring economic pressures, and is unfavorable for energy-conserving and environment-protective.Moreover, pursuing " enough doctrines " for part
User for, often performance is superfluous for their intelligent terminal, causes to waste.
On the other hand, with growing, the 5th third-generation mobile communication technology of mobile communication technology（5G）Will be commercial, intelligence
Can mobile terminal will enjoy more easily networked environments at a high speed.In the 5G epoch, the whole world will occur the ten thousand of 50,000,000,000 connections
Thing interconnection services, people are to the computing capability of intelligent terminal and the requirement more and more higher of service quality.Mobile cloud computing will be into
One of key technology serviced for 5G transmission via nets.Mobile cloud computing be a kind of brand-new IT resources or information service delivery with
Use pattern, it is the product that cloud computing is introduced in mobile Internet.
In addition, in intelligent mobile terminal market, also there is enterprise using the demand with safe and secret service.Also user needs
Several operation systems or custom-built system are used, such as certain user, which goes on business, uses Windows systems when handling official business, communication handset is used
Android system, if several operation systems can be used in same mobile terminal, it will bring great convenience.Together
When also bring in Cloud Server the problem of be substantial amounts of these cloud operating systems distribution resource.
The content of the invention
The present invention is by providing the dispatching method and device of a kind of mobile cloud computing platform to solve the above problems.It is described to move
Dynamic cloud computing platform fusion cloud terminal resource provides for multigroup cloud system simulates fortune in order inside running environment, every group of cloud system
The multiple cloud system system programs of row, the cloud system system program is assigned to corresponding mobile terminal to provide cloud computing clothes by network
Business.
On the one hand the solution of the present invention is a kind of dispatching method of mobile cloud computing platform, is comprised the following steps：In operation
The resource occupation amount of each cloud system system program therein is monitored during one group of cloud system；If current resource occupation total amount is higher than
During default upper limit threshold, the resource request amount shared by each in the multiple cloud system system program is dynamically changed
The execution sequence of this group of cloud system system program so that the execution priority of the less cloud system system program of resource occupation amount is accounted for higher than resource
The execution priority of the cloud system system program of large usage quantity；In the execution interval of resource occupation amount less multiple cloud system system programs
Idle period performs the larger cloud system system program of resource occupation amount；If current resource occupation total amount is less than default lower limit threshold
During value, then recover or maintain the former execution sequence of cloud system system program.
Further, the resource occupation amount includes taking the length of CPU time piece, takes random access memory
Usage amount, the usage amount for taking data storage or the usage amount for taking Internet resources.
Preferably, wherein the upper limit threshold and/or lower threshold can currently melt according to the mobile cloud computing platform
The cloud terminal resource amount of conjunction is adjusted in real time.
Further, the dispatching method of described mobile cloud computing platform also includes：The cloud system journey that mobile terminal is published
The resource reclaim of sequence, and distribute remaining operating cloud system journey into the cloud system group where the cloud system system program published
Sequence.
Further, the dispatching method of described mobile cloud computing platform also includes the preferential money by the cloud system system program published
Source is assigned to the bigger cloud system system program of resource occupation amount.
Further, the dispatching method of described mobile cloud computing platform also includes melting a part by moving cloud computing platform
The cloud terminal resource of conjunction is assigned to the mobile terminal of one or more accesses.
Another aspect of the present invention provides a kind of dispatching device of mobile cloud computing platform, including：Monitoring module, for
The resource occupation amount of each cloud system system program therein is monitored during running one group of cloud system；Execution priority scheduler module, is used
It is every in the multiple cloud system system program when judging whether current resource occupation total amount is higher than default upper limit threshold
Resource request amount shared by one dynamically changes the execution sequence of this group of cloud system system program so that resource occupation amount is less
The execution priority of the execution priority of the cloud system system program cloud system system program larger higher than resource occupation amount；Vacant working is dispatched
Module, performs resource occupation amount larger in the idle period of the execution interval of the less multiple cloud system system programs of resource occupation amount
Cloud system system program；Execution priority recovery module, during for judging that current resource occupation total amount is less than default lower threshold,
Then recover or maintain the former execution sequence of cloud system system program.
Yet another aspect, the dispatching device of mobile cloud computing platform can include holder and processor, wherein, the place
Reason device performs the program command being stored in the memory, to perform the dispatching method of above-mentioned cloud computing platform.
Beneficial effects of the present invention are：There is provided the scheduling mechanism of mobile cloud computing platform, optimization and reasonable distribution resource,
Stable system running environment is provided to call for mobile cloud computing terminal.
Brief description of the drawings
Fig. 1 is the schematic diagram for the mode of operation for showing the mobile cloud computing platform according to the present invention；
Fig. 2 is the schematic diagram for showing the mobile cloud computing platform scheduling process according to the present invention；
Fig. 3 is the flow chart for showing the mobile cloud computing platform scheduling process according to the present invention.
Embodiment
Fig. 1 show the application platform and its mode of operation of the present invention, illustrated therein is cloud computing terminal and is taken with cloud computing
Business device is networked by communication equipment, and the networking mode used can be wired connection, wireless connection or its any combination.
It will be appreciated that, cloud computing terminal, cloud computing server and communication equipment can be quantitatively multiple respectively.Cloud computing terminal can
To operate in basic schema and cloud computing mode.Basic communication function is kept under basic schema, such as call, short message etc..
Cloud computing server can be accessed by express network under cloud mode, be loaded into abundant system resource, such as logged in using use
The a variety of entertainment systems and office system of family customization.Cloud computing terminal can be specifically embodied as the intelligence with network communicating function
Mobile phone, tablet personal computer, portable game etc..Specifically, can be using movement between cloud computing terminal and cloud computing server
Communication connection（Such as, 2G, 3G, 4G or 5G communication mode）, the technology such as wide area network or Ethernet carry out networking.Communication equipment includes net
Network adapter, the network switch, router, modem, optical fiber/twisted pair line, wireless aps, antenna, mobile communication base
Stand.
Cloud computing server can include cloud cluster framework, fusion scheduler module and transport management module, wherein fusion is adjusted
Spending module includes processor, memory and external scheduler, and transport management module includes network manager and high speed network interfaces.
Cloud cluster framework fusion cloud terminal resource provides dry run in order inside running environment, every group of cloud system for multigroup cloud system
Multiple cloud system system programs, the cloud system system program handles the communication of corresponding cloud computing terminal to provide cloud by network manager
Calculate service.Processor can promote external scheduler from group network is converged according to cloud computing server current operating situation
Various cloud computing equipments or from cloud computing terminal scheduling resource.In an example, when cloud computing server memory capacity is tight
Zhang Shi, processor can analyze the idle NAS resources being connected with cloud computing server converged in group network, will by scheduler
Simultaneously location, into memory, uses or supplied one or more cloud meters to the available storage content of the NAS for cloud computing server inside
Terminal is calculated to use.In another example, when the memory size of cloud computing server is nervous, processor can be analyzed and cloud meter
The freememory resource of the cloud computing terminal of server connection is calculated, the available of the cloud computing terminal is left unused by external scheduler
Memory source is incorporated into the memory pool in cloud computing server.
Fig. 2 is the schematic diagram for showing the mobile cloud computing platform scheduling process according to invention.Cloud computing platform can have
There is resource allocation module, for the request amount and Request Priority according to cloud computing service layer and Transmission and Management Unit, and
And according to the network throughput of communications unit, to adjust the sendout of the software and hardware resources.The resource allocation module bag
Include：Internal memory integrated unit, the memory source for merging other cloud computing equipments by cloud computing server；Storage fusion is single
Member, the storage resource for merging other cloud computing equipments by cloud computing server.
Cloud computing platform also includes internal schedule device, and it performs following steps：It is monitored during one group of cloud system is run
In each cloud system system program resource occupation amount；If current resource occupation total amount is higher than default upper limit threshold, root
Holding for this group of cloud system system program is dynamically changed according to the resource request amount shared by each in the multiple cloud system system program
Row order so that the execution priority of the less cloud system system program of the resource occupation amount cloud system journey larger higher than resource occupation amount
The execution priority of sequence；Resource is performed in the idle period of the execution interval of the less multiple cloud system system programs of resource occupation amount to account for
The cloud system system program of large usage quantity；If current resource occupation total amount is less than default lower threshold, recovers or maintain
The former execution sequence of cloud system system program.
Fig. 3 is the flow chart for the mobile cloud computing platform dispatching method for showing the preferred embodiment according to invention.
This method specifically includes following steps：
S101, the requirement customized according to user's registration, allocate cloud system resource in advance and the cloud system to identical environmental requirement enters
Row packet；
S102, the resource occupation amount of each cloud system system program therein is monitored during one group of cloud system is run；
S103, judge current resource occupation total amount whether be higher than default upper limit threshold when；
Resource request amount shared by S104, each in the multiple cloud system system program dynamically changes this group of cloud system
The execution sequence of system program so that the execution priority of the less cloud system system program of resource occupation amount is larger higher than resource occupation amount
Cloud system system program execution priority；
S105, the less multiple cloud system system programs of resource occupation amount execution interval idle period perform resource occupation amount compared with
Big cloud system system program；
S106, the resource occupation amount for continuing monitoring each cloud system system program therein；
S107, judge current resource occupation total amount be less than default lower threshold when, then S108 steps recover or maintain cloud
The former execution sequence of system program.
Above-mentioned dispatching method is described below by specific example.
When cloud computing server works, multiple cloud computing client terminals send holding for cloud system system program to cloud computing server
Row solicited message.Cloud computing server will receive each cloud system PROGRAMMED REQUESTS information that multiple terminals are sent.Resource allocation pipe
Reason unit 31 is received after the solicited message of multiple cloud system system programs, by the execution sequence write-in resource point of multiple cloud system system programs
With in management storage region.If still having the cloud system system program for being not carried out finishing in the Perform sequence of resource allocation management memory block, newly
The cloud system system program of request will write the end of the sequence, i.e., it is minimum that the cloud system system program newly asked performs priority level.
For example, in the execution sequence of resource allocation management memory block memory storage, including nine pending cloud system journeys
Sequence, includes A programs, the B programs of the second client terminal, the c program of the 3rd client terminal etc. of the first client terminal.As the first visitor
Family terminal is sent after the execution solicited message of D programs to cloud computing server, and D programs are write and performed by resource allocation management unit
In the form of order, and the execution sequence of D programs is 10, that is, performs priority level minimum.Then, resource allocation management unit
Judge whether the current utilization rates of cloud computing server CPU are higher than threshold value, if higher than the threshold value, dynamically changing each cloud system
The execution sequence of system program.Now, the resource request amount of each cloud system PROGRAMMED REQUESTS of resource allocation management unit judges, that is, account for
With the length of CPU time slice, and change according to the length of holding time piece the execution sequence of each cloud system system program.Change is performed
The principle of order is, resource request amount is big, i.e. the longer cloud system process priority grade of holding time piece is low, resource request amount
Small, i.e. the shorter cloud system process priority grade of holding time piece is high.
According to above-mentioned change principle, if the D program holding time pieces of the first client terminal are most short, only 5 milliseconds, it is held
Row major grade highest, it is " 1 " that can set its execution sequence.The B program holding times piece of second client terminal is 10 milliseconds,
Only it is longer than the timeslice of A programs occupancy, it is performed, and priority level is higher, and it is " 2 " that can set execution sequence.First client terminal
A program holding time pieces it is most long, its perform priority level it is minimum, can be set execution sequence be " 10 ".And the 3rd client terminal
C program holding time piece it is longer, perform priority level it is relatively low, then set execution sequence be " 9 ".
By that analogy, the resource allocation management unit of cloud computing server is according to each cloud system system program holding time length of a film
The priority level of its execution of degree change.Certainly, if CPU utilization rate is less than threshold value, resource allocation management unit is not to cloud system
The execution sequence of program is modified, i.e., the execution sequence of multiple cloud system system programs is first according to the time of cloud system PROGRAMMED REQUESTS
Order is arranged afterwards.Then, the execution sequence stored according to resource allocation management memory block is high to priority level from priority level
Low mode performs cloud system system program successively.When CPU performs cloud system system program, be allocated to one section of cloud system system program it is very short when
Between piece, a process or thread for cloud system system program is performed in the timeslice, after the process or thread are finished, CPU
Available free timeslice, can perform a process or thread for next cloud system system program.
After a process or thread are finished, resource allocation management unit needs to deposit resource allocation management memory block
The execution sequence of storage is resequenced, and the cloud system system program being finished is deleted from Perform sequence, and updates
Timeslice residue length shared by each cloud system system program, each cloud system journey is arranged according to the residue length of holding time piece
The execution sequence of sequence.Certainly, if also determining whether, all cloud system program finishes executions still have cloud system system program to be not carried out,
New cloud system system program is received, or by CPU according to the execution sequence execution cloud system system program after renewal.
As can be seen here, resource allocation management unit dynamically changes the execution sequence of multiple cloud system system programs in real time, when certain
After the thread or process of one cloud system system program are finished, execution sequence is updated at once, and performs next cloud system
A process or thread for system program.So, multiple cloud system system programs are alternately performed, and the small cloud system of resource request amount
System program performs priority level height, and the time of execution is shorter, and the response speed of client terminal is very fast.
It can be seen that, even if a certain cloud computing client terminal sends the larger cloud system of a resource request amount to cloud computing server
System program is asked, and will not also cause the less cloud system system program of other resource request amounts in rear request not perform in time, from
And avoid the problem of the cloud system system program response time of rear request is long, it is prevented effectively from the hair of client terminal " deadlock " phenomenon
It is raw.
Because the execution time needed for the small cloud system system program of resource request amount is often shorter, and it is small to perform resource request amount
Cloud system program process between often there is more free time piece to can perform the big cloud system system program of resource request amount, therefore
The small cloud system system program of preferential execution resource request amount will not be to causing the big cloud system system program stand-by period mistake of resource request amount
Length can not be performed.When CPU performs cloud system system program, it is necessary to carry out data exchange with RAM, ROM, and need by network
Interface transfers data to above-mentioned client terminal, therefore a certain cloud system system program occupancy CPU time slice is longer, its RAM taken
Usage amount, ROM resources and occupancy Internet resources are also more.
It is described above, simply presently preferred embodiments of the present invention, the invention is not limited in above-mentioned embodiment, as long as
It reaches the technique effect of the present invention with identical means, should all belong to protection scope of the present invention.In the protection model of the present invention
Its technical scheme and/or embodiment can have a variety of modifications and variations in enclosing.
Claims (8)
1. a kind of dispatching method of mobile cloud computing platform, the mobile cloud computing platform fusion cloud terminal resource is multigroup cloud system
System provides running environment, and multiple cloud system system programs of dry run in order inside every group of cloud system, the cloud system system program passes through
Network is assigned to corresponding mobile terminal to provide cloud computing service, it is characterised in that the dispatching method includes：
The resource occupation amount of each cloud system system program therein is monitored during one group of cloud system is run；
It is each in the multiple cloud system system program if current resource occupation total amount is higher than default upper limit threshold
Individual shared resource request amount dynamically changes the execution sequence of this group of cloud system system program so that the less cloud of resource occupation amount
The execution priority of the execution priority of the system program cloud system system program larger higher than resource occupation amount；
It is larger that resource occupation amount is performed in the idle period of the execution interval of the less multiple cloud system system programs of resource occupation amount
Cloud system system program；
If current resource occupation total amount is less than default lower threshold, recover or maintain the former execution of cloud system system program
Sequentially.
2. the dispatching method of mobile cloud computing platform according to claim 1, wherein the resource occupation amount includes taking
The length of CPU time piece, the usage amount for taking random access memory, the usage amount or occupancy for taking data storage
The usage amount of Internet resources.
3. the dispatching method of mobile cloud computing platform according to claim 1, wherein the upper limit threshold and/or lower limit threshold
Value can in real time be adjusted according to the cloud terminal resource amount of the mobile cloud computing platform present fusion.
4. the dispatching method of mobile cloud computing platform according to claim 1, in addition to：
The resource reclaim for the cloud system system program that mobile terminal is published, and distribute to the cloud system where the cloud system system program published
Remaining operating cloud system system program in group.
5. the dispatching method of mobile cloud computing platform according to claim 4, in addition to：
Preferentially by the resource allocation for the cloud system system program published to the bigger cloud system system program of resource occupation amount.
6. the dispatching method of mobile cloud computing platform according to claim 1, in addition to：
A part is assigned to the mobile terminal of one or more accesses by the cloud terminal resource for moving cloud computing platform fusion.
7. a kind of dispatching device of mobile cloud computing platform, the mobile cloud computing platform fusion cloud terminal resource is multigroup cloud system
System provides running environment, and multiple cloud system system programs of dry run in order inside every group of cloud system, the cloud system system program passes through
Network is assigned to corresponding mobile terminal to provide cloud computing service, it is characterised in that the dispatching device includes：
Monitoring module, the resource occupation amount for monitoring each cloud system system program therein during one group of cloud system is run；
Execution priority scheduler module, during for judging whether current resource occupation total amount is higher than default upper limit threshold, root
Holding for this group of cloud system system program is dynamically changed according to the resource request amount shared by each in the multiple cloud system system program
Row order so that the execution priority of the less cloud system system program of the resource occupation amount cloud system journey larger higher than resource occupation amount
The execution priority of sequence；
Vacant working scheduler module, is performed in the idle period of the execution interval of the less multiple cloud system system programs of resource occupation amount
The larger cloud system system program of resource occupation amount；
Execution priority recovery module, during for judging that current resource occupation total amount is less than default lower threshold, then recovers
Or maintain the former execution sequence of cloud system system program.
8. a kind of dispatching device of mobile cloud computing platform, it is characterised in that including holder and processor,
Wherein, the computing device is stored in the program command in the memory, to perform according in claim 1 to 6
Method described in any claim.
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| CN201710020920.3A CN107018175B (en) | 2017-01-11 | 2017-01-11 | Scheduling method and device of mobile cloud computing platform |
| PCT/CN2018/072166 WO2018130163A1 (en) | 2017-01-11 | 2018-01-10 | Scheduling method and device for mobile cloud computing platform |
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| CN201710020920.3A CN107018175B (en) | 2017-01-11 | 2017-01-11 | Scheduling method and device of mobile cloud computing platform |
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| CN108063733A (en) * | 2017-12-29 | 2018-05-22 | 珠海国芯云科技有限公司 | The dynamic dispatching method and device of website visiting request |
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| CN108287753A (en) * | 2017-12-29 | 2018-07-17 | 珠海国芯云科技有限公司 | Computer system fast dispatch method and device |
| WO2018130163A1 (en) * | 2017-01-11 | 2018-07-19 | 杨立群 | Scheduling method and device for mobile cloud computing platform |
| CN108304254A (en) * | 2017-12-29 | 2018-07-20 | 珠海国芯云科技有限公司 | Quick virtual machine process dispatch control method and device |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101968750A (en) * | 2010-10-15 | 2011-02-09 | 珠海举天软件科技有限公司 | Computer system and working method thereof |
| CN103491151A (en) * | 2013-09-13 | 2014-01-01 | 中安消技术有限公司 | Method and device for dispatching cloud computing resources and cloud computing platform |
| CN105302643A (en) * | 2015-10-14 | 2016-02-03 | 浪潮集团有限公司 | Job scheduling method and self-learning scheduling machine |
| CN105893158A (en) * | 2016-06-08 | 2016-08-24 | 北京工业大学 | Big data hybrid scheduling model on private cloud condition |
| CN106020937A (en) * | 2016-07-07 | 2016-10-12 | 腾讯科技（深圳）有限公司 | Method, device and system for creating virtual machine |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10102148B2 (en) * | 2013-06-13 | 2018-10-16 | Microsoft Technology Licensing, Llc | Page-based compressed storage management |
| CN107018175B (en) * | 2017-01-11 | 2021-01-19 | 杨立群 | Scheduling method and device of mobile cloud computing platform |
-
2017
- 2017-01-11 CN CN201710020920.3A patent/CN107018175B/en active Active
-
2018
- 2018-01-10 WO PCT/CN2018/072166 patent/WO2018130163A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101968750A (en) * | 2010-10-15 | 2011-02-09 | 珠海举天软件科技有限公司 | Computer system and working method thereof |
| CN103491151A (en) * | 2013-09-13 | 2014-01-01 | 中安消技术有限公司 | Method and device for dispatching cloud computing resources and cloud computing platform |
| CN105302643A (en) * | 2015-10-14 | 2016-02-03 | 浪潮集团有限公司 | Job scheduling method and self-learning scheduling machine |
| CN105893158A (en) * | 2016-06-08 | 2016-08-24 | 北京工业大学 | Big data hybrid scheduling model on private cloud condition |
| CN106020937A (en) * | 2016-07-07 | 2016-10-12 | 腾讯科技（深圳）有限公司 | Method, device and system for creating virtual machine |
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