CN108282364A - The resource allocation methods and system of cloud computing - Google Patents

The resource allocation methods and system of cloud computing Download PDF

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Publication number
CN108282364A
CN108282364A CN201810046696.XA CN201810046696A CN108282364A CN 108282364 A CN108282364 A CN 108282364A CN 201810046696 A CN201810046696 A CN 201810046696A CN 108282364 A CN108282364 A CN 108282364A
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China
Prior art keywords
computations
operational data
terminal
operational
hop count
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Withdrawn
Application number
CN201810046696.XA
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Chinese (zh)
Inventor
张北江
衣佳鑫
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New Intelligent Information Technology (shenzhen) Co Ltd
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New Intelligent Information Technology (shenzhen) Co Ltd
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Priority to CN201810046696.XA priority Critical patent/CN108282364A/en
Publication of CN108282364A publication Critical patent/CN108282364A/en
Withdrawn legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0896Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
    • 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
    • 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
    • G06F9/505Allocation 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 load
    • 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]
    • G06F9/5083Techniques for rebalancing the load in a distributed system
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/12Discovery or management of network topologies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/12Avoiding congestion; Recovering from congestion
    • H04L47/125Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network

Abstract

The embodiment of the present application discloses a kind of computational resource allocation method and system, and described method includes following steps:Terminal receives computations, which includes:Operational order and operational data;Terminal calculates the calculation amount of the computations according to the operational order and operational data;Terminal receives the load value and transmission hop count of other-end in cloud computing platform;Terminal is that computations distribution other-end executes the computations according to the calculation amount, load value, transmission hop count, operational data.Technical solution provided by the present application has the advantages that user experience is high.

Description

The resource allocation methods and system of cloud computing
Technical field
The present invention relates to field of communication technology more particularly to the resource allocation methods and system of a kind of cloud computing.
Background technology
The appearance of cloud platform (cloud platforms) is one of most important link of the transformation.As its name suggests, this flat Platform allows developers or the program finished writing is placed on to " cloud " is inner to be run, or uses " cloud " inner service provided or the two All it is.As for the title of this platform, we can hear that more than one is called now, such as on-demand platform (on-demand Platform), platform services (platform as a service, PaaS) etc..But no matter call it what, it is this new Support application mode have huge potentiality.
How application platform (application platforms) is used.Development teams are indoor in establishment one When using (on-premises application, i.e., the application run in mechanism), this has applied required many bases all Through existing in advance:Operating system is to execute the support that provides the foundation such as application and access storage;Other computers in mechanism Provide the service of such as long-range storage etc.If often create an indoor application all build first it is all these basic Words, then the application that probably we see today can be many less.
Existing cloud platform provides the function of a variety of calculating, and how abbreviation cloud computing distributes calculating for cloud computing Resource quick response computations are extremely important to user, and existing cloud computing is limited to resource distribution, leads to computations Response time is long, influences user experience.
Invention content
The embodiment of the present application provides a kind of resource allocation methods and system of cloud computing, passes through the computing resource of cloud platform Allotment improves user experience.
In a first aspect, the embodiment of the present application provides a kind of computational resource allocation method, described method includes following steps:
Terminal receives computations, which includes:Operational order and operational data;
Terminal calculates the calculation amount of the computations according to the operational order and operational data;
Terminal receives the load value and transmission hop count of other-end in cloud computing platform;
Terminal is that the computations distribute other-end execution according to the calculation amount, load value, transmission hop count, operational data The computations.
Second aspect provides a kind of computational resource allocation system, the system comprises:
Transmit-Receive Unit, for receiving computations, which includes:Operational order and operational data;
Processing unit, the calculation amount for calculating the computations according to the operational order and operational data;
Transmit-Receive Unit is additionally operable to receive the load value and transmission hop count of other-end in cloud computing platform;
Processing unit is additionally operable to distribute for the computations according to the calculation amount, load value, transmission hop count, operational data Other-end executes the computations.
The third aspect, the embodiment of the present application provide a kind of computer readable storage medium, and storage is handed over for electronic data The computer program changed, wherein the computer program makes computer execute method as described in relation to the first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer program product, and the computer program product includes depositing The non-transient computer readable storage medium of computer program is stored up, the computer is operable to make computer to execute such as the Method described in one side.
Using the embodiment of the present application, have the advantages that:
As can be seen that technical solution provided by the present application obtains the load information and forward node letter of the terminal of cloud platform Breath determines the quantity for the computations for distributing to each terminal according to the load information and forward node information, considers Computing cost and transport overhead, optimize the configuration of computing resource, improve the response of computations, the user experience is improved Degree.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, for ability For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached Figure.
Fig. 1 is a kind of flow diagram of computational resource allocation method;
Fig. 2 is the schematic diagram of computational resource allocation method provided by the embodiments of the present application;
Fig. 3 is a kind of hardware architecture schematic diagram provided by the embodiments of the present application;
Fig. 4 is a kind of structural schematic diagram of network topology provided by the embodiments of the present application;
Fig. 5 is a kind of computational resource allocation system schematic provided by the embodiments of the present application;
Fig. 6 is the structural schematic diagram of another terminal provided by the embodiments of the present application.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation describes, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained without creative efforts Example, shall fall within the protection scope of the present invention.
Term " first ", " second ", " third " in description and claims of this specification and the attached drawing and " Four " etc. be for distinguishing different objects, rather than for describing particular order.In addition, term " comprising " and " having " and it Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process of series of steps or unit, method, be The step of system, product or equipment are not limited to list or unit, but further include the steps that optionally not listing or list Member, or further include optionally for the intrinsic other steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, result or the characteristic that describe can wrap in conjunction with the embodiments Containing at least one embodiment of the present invention.Each position in the description occur the phrase might not each mean it is identical Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and Implicitly understand, embodiment described herein can be combined with other embodiments.
Hereinafter, the part term in the application is explained, in order to those skilled in the art understand that.
Mobile terminal, also referred to as user equipment (User Equipment, UE), be one kind provide a user voice and/ Or the equipment of data connectivity, for example, portable equipment, mobile unit etc. with unlimited linkage function.Common terminal example Such as include:Mobile phone, tablet computer, laptop, palm PC, mobile internet device (mobile internet Device, MID), wearable device, such as smartwatch, Intelligent bracelet, pedometer etc..
Refering to fig. 1, Fig. 1 is a kind of computational resource allocation method, as shown in Figure 1, the computational resource allocation method includes such as Lower step, this method can be executed by terminal, which is specifically as follows:Mobile phone, tablet computer, laptop, palm electricity It is one or more in brain, mobile internet device (mobile internet device, MID), wearable device.
Step S101, terminal receives computations;
Step S102, terminal executes the computations and obtains result of calculation;
Step S103, the result of calculation is returned to cloud platform by terminal.
Computations as shown in Figure 1 do not configure computing resource, so when the calculating of its computations Between it is long, the computations response time is long, and user experience is low.
Referring to Fig.2, Fig. 2 is a kind of computational resource allocation method, as shown in Fig. 2, this method is by any one in cloud platform A terminal executes, and this method is realized in hardware architecture as shown in Figure 3 and network topology structure as shown in Figure 4, this method As shown in Fig. 2, including the following steps:
Step S201, terminal receives computations, which includes:Operational order and operational data;
Step S202, terminal calculates the calculation amount of the computations according to the operational order and operational data;
Step S203, terminal receives the load value and transmission hop count of other-end in cloud computing platform;
Step S204, terminal is that the computations distribute it according to the calculation amount, load value, transmission hop count, operational data His terminal executes the computations.
Technical solution provided by the present application obtains the load information and forward node information of the terminal of cloud platform, and foundation should Load information and forward node information determine the quantity for the computations for distributing to each terminal, have considered computing cost And transport overhead, the configuration of computing resource is optimized, the response of computations is improved, the user experience is improved spends.
Optionally, the method that above-mentioned steps S204 is realized can specifically include:
Such as transmission hop count is less than setting quantity, and the operational data is less than setting amount of storage, then according to the side of load balancing Formula distributes the computations and singly executes the computations in other.
Optionally, the method that above-mentioned steps S204 is realized can specifically include:
Such as operational data is more than setting amount of storage, and the terminal of transmission hop count minimum is selected to execute the computations.
This technical solution be because for operational data it is bigger in the case of, if transmission hop count it is more, that is, forward Often, transfer resource can occupy many times, pay the utmost attention to transfer resource in such cases.
Optionally, the implementation method of above-mentioned steps S202 is specifically as follows:
Design factor is determined according to operational order, determines the size of operational data, calculation amount=design factor * operational datas Size.Such as the coefficient of multiplying can be 1.5, the coefficient of convolution algorithm can be 4.0 etc., certainly in practical application In can also be other numerical value.
Refering to Fig. 5, Fig. 5 provides a kind of computational resource allocation system, the system comprises:
Transmit-Receive Unit 501, for receiving computations, which includes:Operational order and operational data;
Processing unit 502, the calculation amount for calculating the computations according to the operational order and operational data;
Transmit-Receive Unit 501 is additionally operable to receive the load value and transmission hop count of other-end in cloud computing platform;
Processing unit 502 is additionally operable to according to the calculation amount, load value, transmission hop count, operational data be the computations point The computations are executed with other-end.
Optionally, the processing unit is specifically used for the transmission hop count such as and is less than setting quantity, which, which is less than, sets Determine amount of storage, then the computations is distributed according to the mode of load balancing and singly execute the computations in other.
Optionally, the processing unit is specifically used for the operational data such as and is more than setting amount of storage, selects transmission hop count most Small terminal executes the computations.
Optionally, the processing unit determines the big of operational data specifically for determining design factor according to operational order It is small, the size of calculation amount=design factor * operational datas.
Fig. 6 shows the block diagram with the part-structure of terminal provided by the embodiments of the present application.With reference to figure 6, server packet It includes:Radio frequency (Radio Frequency, RF) circuit 910, memory 920, input unit 930, sensor 950, voicefrequency circuit 960, the components such as Wireless Fidelity (Wireless Fidelity, WiFi) module 970, application processor AP980 and power supply 990. It will be understood by those skilled in the art that smart machine structure shown in Fig. 6 does not constitute the restriction to smart machine, can wrap It includes than illustrating more or fewer components, either combines certain components or different components arrangement.
Each component parts of smart machine is specifically introduced with reference to Fig. 6:
Input unit 930 can be used for receiving the number or character information of input, and generates and set with the user of smart machine It sets and the related key signals of function control inputs.Specifically, input unit 930 may include touching display screen 933, writing pencil 931 and other input equipments 932.Input unit 930 can also include other input equipments 932.Specifically, other inputs are set Standby 932 can include but is not limited to physical button, function key (such as volume control button, switch key etc.), trace ball, mouse It is one or more in mark, operating lever etc..
AP980 is the control centre of smart machine, utilizes each portion of various interfaces and the entire smart machine of connection Point, by running or execute the software program and/or module that are stored in memory 920, and calls and be stored in memory 920 Interior data execute the various functions and processing data of smart machine, to carry out integral monitoring to smart machine.Optionally, AP980 may include one or more processing units;Optionally, AP980 can integrate application processor and modem processor, In, the main processing operation system of application processor, user interface and application program etc., modem processor are mainly handled wirelessly Communication.It is understood that above-mentioned modem processor can not also be integrated into AP980.Above-mentioned AP980 can collect adult Face identifies module, and certainly in practical applications, above-mentioned recognition of face module can also be separately provided or be integrated in camera 770 Interior, recognition of face module as shown in FIG. 6 is for being integrated in AP980.
In addition, memory 920 may include high-speed random access memory, can also include nonvolatile memory, example Such as at least one disk memory, flush memory device or other volatile solid-state parts.
RF circuits 910 can be used for sending and receiving for information.In general, RF circuits 910 include but not limited to antenna, at least one A amplifier, transceiver, coupler, low-noise amplifier (Low Noise Amplifier, LNA), duplexer etc..In addition, RF circuits 910 can also be communicated with network and other equipment by radio communication.Above-mentioned wireless communication can use any communication Standard or agreement, including but not limited to global system for mobile communications (Global System of Mobile Communication, GSM), general packet radio service (General Packet Radio Service, GPRS), code it is point more Location (Code Division Multiple Access, CDMA), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA), long term evolution (Long Term Evolution, LTE), Email, short message service (Short Messaging Service, SMS) etc..
Smart machine may also include at least one sensor 950, such as optical sensor, motion sensor, closely sensing Device and other sensors.Specifically, optical sensor may include ambient light sensor and proximity sensor, wherein ambient light passes Sensor can adjust the brightness of touching display screen according to the light and shade of ambient light, and proximity sensor can be moved in one's ear in mobile phone When, close touching display screen and/or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions The size of (generally three axis) acceleration, can detect that size and the direction of gravity, can be used to identify mobile phone posture when static It (for example pedometer, is struck using (such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function Hit) etc.;Proximity Sensor can be used for detecting distance between mobile phone and user.Gyroscope, the gas that can also configure as mobile phone The other sensors such as meter, hygrometer, thermometer, infrared sensor are pressed, details are not described herein.
Voicefrequency circuit 960, loud speaker 961, microphone 962 can provide the audio interface between user and smart machine.Sound The transformed electric signal of the audio data received can be transferred to loud speaker 961, is converted to by loud speaker 961 by frequency circuit 960 Voice signal plays;On the other hand, the voice signal of collection is converted to electric signal by microphone 962, is received by voicefrequency circuit 960 After be converted to audio data, then after audio data is played AP980 processing, through RF circuits 910 to be sent to such as another mobile phone, Or audio data is played to memory 920 to be further processed.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronics postal by WiFi module 970 Part, browsing webpage and access streaming video etc., it has provided wireless broadband internet to the user and has accessed.Although Fig. 6 is shown WiFi module 970, but it is understood that, and it is not belonging to must be configured into for smart machine, it can exist as needed completely Do not change in the range of the essence of application and omits.
Smart machine further includes the power supply 990 (such as battery or power module) powered to all parts, optionally, power supply Can be logically contiguous with AP980 by power-supply management system, to by power-supply management system realize management charging, electric discharge, with And the functions such as power managed.
The embodiment of the present application also provides a kind of computer storage media, wherein computer storage media storage is for electricity The computer program that subdata exchanges, the computer program make computer execute any as described in above method embodiment Some or all of method step, the computer include terminal device.
The embodiment of the present application also provides a kind of computer program product, and the computer program product includes storing calculating The non-transient computer readable storage medium of machine program, the computer program are operable to that computer is made to execute such as above-mentioned side Some or all of either method described in method embodiment step.The computer program product can be a software installation Packet, the computer includes terminal device.
The step of method described in the embodiment of the present application or algorithm, can be realized in a manner of hardware, can also be The mode of software instruction is executed by processor to realize.Software instruction can be made of corresponding software module, and software module can To be stored on random access memory (Random Access Memory, RAM), flash memory, read-only memory (Read Only Memory, ROM), Erasable Programmable Read Only Memory EPROM (Erasable Programmable ROM, EPROM), electrically erasable can Program read-only memory (Electrically EPROM, EEPROM), register, hard disk, mobile hard disk, CD-ROM (CD- ROM) or in the storage medium of any other form well known in the art.A kind of illustrative storage medium is coupled to processing To enable a processor to from the read information, and information can be written to the storage medium in device.Certainly, storage is situated between Matter can also be the component part of processor.Pocessor and storage media can be located in ASIC.In addition, the ASIC can be located at In access network equipment, destination network device or equipment of the core network.Certainly, pocessor and storage media can also be used as discrete assembly It is present in access network equipment, destination network device or equipment of the core network.
Those skilled in the art it will be appreciated that in said one or multiple examples, retouched by the embodiment of the present application The function of stating can be realized wholly or partly by software, hardware, firmware or its arbitrary combination.When using software realization When, it can entirely or partly realize in the form of a computer program product.The computer program product includes one or more A computer instruction.When loading on computers and executing the computer program instructions, entirely or partly generate according to this Apply for the flow or function described in embodiment.The computer can be all-purpose computer, special purpose computer, computer network, Or other programmable devices.The computer instruction can store in a computer-readable storage medium, or be counted from one Calculation machine readable storage medium storing program for executing is transmitted to another computer readable storage medium, for example, the computer instruction can be from one Web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (Digital Subscriber Line, DSL)) or wireless (such as infrared, wireless, microwave etc.) mode to another web-site, computer, Server or data center are transmitted.It is any available can be that computer can access for the computer readable storage medium Medium is either comprising data storage devices such as one or more usable mediums integrated server, data centers.It is described to use Medium can be magnetic medium (for example, floppy disk, hard disk, tape), optical medium (for example, digital video disk (Digital Video Disc, DVD)) or semiconductor medium (for example, solid state disk (Solid State Disk, SSD)) etc..
Above-described specific implementation mode carries out the purpose, technical solution and advantageous effect of the embodiment of the present application It is further described, it should be understood that the foregoing is merely the specific implementation modes of the embodiment of the present application, and does not have to In limit the embodiment of the present application protection domain, it is all on the basis of the technical solution of the embodiment of the present application, done it is any Modification, equivalent replacement, improvement etc. should all be included within the protection domain of the embodiment of the present application.

Claims (10)

1. a kind of computational resource allocation method, which is characterized in that described method includes following steps:
Terminal receives computations, which includes:Operational order and operational data;
Terminal calculates the calculation amount of the computations according to the operational order and operational data;
Terminal receives the load value and transmission hop count of other-end in cloud computing platform;
Terminal is that computations distribution other-end executes the meter according to the calculation amount, load value, transmission hop count, operational data Calculate instruction.
2. according to the method described in claim 1, it is characterized in that, the terminal is jumped according to the calculation amount, load value, transmission Number, operational data distribute other-end for the computations and execute the computations, including:
Such as transmission hop count is less than setting quantity, and the operational data is less than setting amount of storage, then according to the mode pair of load balancing The computations, which distribute, singly executes the computations in other.
3. according to the method described in claim 1, it is characterized in that, the terminal is jumped according to the calculation amount, load value, transmission Number, operational data distribute other-end for the computations and execute the computations, including:
Such as operational data is more than setting amount of storage, and the terminal of transmission hop count minimum is selected to execute the computations.
4. according to the method described in claim 1, it is characterized in that, the terminal is according to the operational order and operational data meter The calculation amount of the computations is calculated, including:
Design factor is determined according to operational order, determines the size of operational data, calculation amount=design factor * operational datas it is big It is small.
5. a kind of computational resource allocation system, which is characterized in that the system comprises:
Transmit-Receive Unit, for receiving computations, which includes:Operational order and operational data;
Processing unit, the calculation amount for calculating the computations according to the operational order and operational data;
Transmit-Receive Unit is additionally operable to receive the load value and transmission hop count of other-end in cloud computing platform;
Processing unit is additionally operable to according to the calculation amount, load value, transmission hop count, operational data be that the computations distribute other Terminal executes the computations.
6. system according to claim 5, which is characterized in that
The processing unit is specifically used for being less than setting amount of storage less than quantity, the operational data is set such as the transmission hop count, then Mode according to load balancing, which distributes the computations, singly executes the computations in other.
7. system according to claim 5, which is characterized in that
The processing unit is specifically used for the operational data such as and is more than setting amount of storage, the terminal of transmission hop count minimum is selected to hold The row computations.
8. system according to claim 5, which is characterized in that
The processing unit determines the size of operational data specifically for determining design factor according to operational order, calculation amount= The size of design factor * operational datas.
9. a kind of computer readable storage medium, which is characterized in that it stores the computer program for electronic data interchange, In, the computer program makes computer execute method according to any one of claims 1-4.
10. a kind of computer program product, which is characterized in that the computer program product includes storing computer program Non-transient computer readable storage medium, the computer program are operable to that computer is made to execute such as claim 1-4 Method described in one.
CN201810046696.XA 2018-01-17 2018-01-17 The resource allocation methods and system of cloud computing Withdrawn CN108282364A (en)

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CN103179167A (en) * 2011-12-26 2013-06-26 深圳光启高等理工研究院 Method and system for cloud computing and load balancing server
US20130191829A1 (en) * 2012-01-19 2013-07-25 Hitachi, Ltd. Computer system, virtual server alignment method, and alignment control apparatus
CN103716406A (en) * 2013-12-27 2014-04-09 汉柏科技有限公司 Method and system for improving operation resource of cloud computing network

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102469023A (en) * 2010-11-19 2012-05-23 中国移动通信集团公司 Dispatching method, unit and system based on cloud computing
CN103179167A (en) * 2011-12-26 2013-06-26 深圳光启高等理工研究院 Method and system for cloud computing and load balancing server
US20130191829A1 (en) * 2012-01-19 2013-07-25 Hitachi, Ltd. Computer system, virtual server alignment method, and alignment control apparatus
CN102917077A (en) * 2012-11-20 2013-02-06 无锡城市云计算中心有限公司 Resource allocation method in cloud computing system
CN103716406A (en) * 2013-12-27 2014-04-09 汉柏科技有限公司 Method and system for improving operation resource of cloud computing network

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