CN105471759B - The network traffics dispatching method and device of data center - Google Patents
The network traffics dispatching method and device of data center Download PDFInfo
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- CN105471759B CN105471759B CN201610016269.8A CN201610016269A CN105471759B CN 105471759 B CN105471759 B CN 105471759B CN 201610016269 A CN201610016269 A CN 201610016269A CN 105471759 B CN105471759 B CN 105471759B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
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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
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- H04L67/10—Protocols in which an application is distributed across nodes in the network
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Abstract
This application discloses the network traffics dispatching methods and device of data center.One specific embodiment of the network traffics dispatching method of the data center includes:The history bandwidth information of each data center at least two data centers to prestore is obtained, wherein, the bandwidth information includes following information:Timestamp, bandwidth value associated with the timestamp;According to the history bandwidth information, bandwidth value of each data center in following predetermined amount of time is predicted, obtain the prediction bandwidth information of each data center;According to the history bandwidth information of each data center and prediction bandwidth information, determine whether each data center will generate new bandwidth peak;If it is determined that there are problems that new bandwidth peak data center will be generated, then the flow of each data center is adjusted.This embodiment, reduces the situation for generating new bandwidth peak, so as to reduce the bandwidth cost of data center.
Description
Technical field
This application involves field of computer technology, and in particular to network technique field more particularly to the network of data center
Traffic scheduling method and device.
Background technology
At present, the development with cloud computing technology and ripe and globalization deep development, in order to possess it is higher can
By property and performance, cloud service is typically operated in the distributed structure/architecture of the region that collapses including multiple data centers.In order to rationally divide
Network traffics with each data center, the prior art are typically to distribute each data center by setting fixed ratio
Flow.
However, in the process of running, if the flow of some data center is up to history peak value, the prior art cannot
Flow adjustment is carried out to it in time, it is higher so as to cause the bandwidth cost of data center.
The content of the invention
The purpose of the application is the network traffics dispatching method and device for proposing a kind of data center, to carry on the back more than solving
The technical issues of scape technology segment is mentioned.
In a first aspect, this application provides a kind of network traffics dispatching method of data center, the described method includes:It obtains
The history bandwidth information of each data center at least two data centers to prestore, wherein, the bandwidth information includes
Following information:Timestamp, bandwidth value associated with the timestamp;According to the history bandwidth information, each data are predicted
Center obtains the prediction bandwidth information of each data center in the bandwidth value of following predetermined amount of time;According to each data center
History bandwidth information and prediction bandwidth information, determine whether each data center will generate new bandwidth peak;If really
It is fixed to there are problems that new bandwidth peak data center is generated, then adjust the flow of each data center.
In some embodiments, the history bandwidth information is arrived according to the outer net port processing in each data center
Outer net traffic generating and preserve.
In some embodiments, the history bandwidth information according to each data center and prediction bandwidth information, determine
Whether each data center will generate new bandwidth peak, including:According to the history bandwidth information of each data center and work as
Preceding bandwidth charging mode determines the history bandwidth benchmark of each data center, wherein, the history bandwidth benchmark is for calculating
The value of the bandwidth parameter of bandwidth expense;For each data center, prediction bandwidth information and history bandwidth based on data center
The comparison of benchmark, determines whether each data center will generate new bandwidth peak.
In some embodiments, the method further includes:If it is determined that there are problems that new bandwidth peak will be generated
Data center, and if will also generate new bandwidth peak after the adjusted flow of other data centers, asked described in control
Inscribe the access number of users and/or downloading rate of data center.
In some embodiments, the bandwidth information further includes:Shared by each cloud service associated with the timestamp
Bandwidth value;And the flow of each data center of adjustment, including:According to the history bandwidth of described problem data center
Each occupied bandwidth value of cloud service in information, since the cloud service of occupied bandwidth value maximum, adjustment is related to cloud service
The flow of each data center of connection.
In some embodiments, the method further includes:If it is determined that there are problems that new bandwidth peak will be generated
Data center, and if new bandwidth peak will be also generated after the adjusted flow of other data centers, from occupied bandwidth
The cloud service of value maximum starts, and controls the access number of users and/or downloading rate of cloud service.
Second aspect, this application provides a kind of network traffics dispatching device of data center, described device includes:History
Bandwidth information acquiring unit, for obtaining the history bandwidth of each data center at least two data centers to prestore letter
Breath, wherein, the bandwidth information includes following information:Timestamp, bandwidth value associated with the timestamp;Bandwidth information is pre-
Unit is surveyed, for according to the history bandwidth information, predicting bandwidth value of each data center in following predetermined amount of time, obtaining
The prediction bandwidth information of each data center;New bandwidth peak generates determination unit, for the history according to each data center
Bandwidth information and prediction bandwidth information, determine whether each data center will generate new bandwidth peak;Flow adjustment unit,
For new bandwidth peak lead to the problem of determination unit determine in the presence of will generate new bandwidth peak data center when, adjustment
The flow of each data center.
In some embodiments, described device further includes:History bandwidth information storage unit, for according in each data
The outer net port processing at center to outer net traffic generating and preserve history bandwidth information.
In some embodiments, the new bandwidth peak generates determination unit and includes:History bandwidth benchmark determination subelement,
For the history bandwidth information and current bandwidth charging mode according to each data center, the history band of each data center is determined
Wide benchmark, wherein, the history bandwidth benchmark is for the value of the bandwidth parameter of computation bandwidth expense;New bandwidth peak generates true
Stator unit, for being directed to each data center, prediction bandwidth information and the comparison of history bandwidth benchmark based on data center,
Determine whether each data center will generate new bandwidth peak.
In some embodiments, described device further includes:First downloading rate control unit, for being produced in new bandwidth peak
Raw determination unit determines there are problems that will to generate new bandwidth peak data center, and if other data centers through tune
When new bandwidth peak will be also generated after rectification flow, the access number of users of control described problem data center and/or download
Rate.
In some embodiments, the bandwidth information further includes:Shared by each cloud service associated with the timestamp
Bandwidth value;And the flow adjustment unit be additionally operable to it is each in the history bandwidth information according to described problem data center
The occupied bandwidth value of cloud service since the cloud service of occupied bandwidth value maximum, adjusts each number associated with cloud service
According to the flow at center.
In some embodiments, described device further includes:Second downloading rate control unit, for being produced in new bandwidth peak
Raw determination unit determines there are problems that will to generate new bandwidth peak data center, and if other data centers through tune
When new bandwidth peak will be also generated after rectification flow, then since the cloud service of occupied bandwidth value maximum, cloud service is controlled
Access number of users and/or downloading rate.
The network traffics dispatching method and device for the data center that the application provides, pass through going through according to each data center
History bandwidth information and prediction bandwidth information, determine whether each data center will generate new bandwidth peak, and are determining to deposit
The flow of each data center is adjusted when new bandwidth peak data center will be led to the problem of.Reduce and generate new band
The situation of broad peak, so as to reduce the bandwidth cost of data center.
Description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is that this application can be applied to exemplary system architecture figures therein;
Fig. 2 is the flow chart according to one embodiment of the network traffics dispatching method of the data center of the application;
Fig. 3 is the flow chart according to another embodiment of the network traffics dispatching method of the data center of the application;
Fig. 4 is the structure diagram according to one embodiment of the network traffics dispatching device of the data center of the application;
Fig. 5 is adapted for the structure diagram of the computer system of the dispatch server for realizing the embodiment of the present application.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, illustrated only in attached drawing and invent relevant part with related.
It should be noted that in the case where there is no conflict, the feature in embodiment and embodiment in the application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows the embodiment of the network traffics dispatching method that can apply the application or network traffics dispatching device
Exemplary system architecture 100.
As shown in Figure 1, system architecture 100 can include terminal device 101,102,103, network 104, dispatch server
105 and data center 106,107,108.Network 104 between terminal device 101,102,103 and dispatch server 105,
Between terminal device 101,102,103 and data center 106,107,108 and data center 106,107,108 and dispatch service
The medium of communication link is provided between device 105.Network 104 can include various connection types, such as wired, wireless communication link
Or fiber optic cables etc..
User can be interacted with using terminal equipment 101,102,103 by network 104 with data center 106,107,108,
To receive or send message etc..Various client applications can be installed, such as browser should on terminal device 101,102,103
With, document management class application, searching class application, mailbox client, social platform software etc..
Terminal device 101,102,103 can be the various intelligent electronic devices for supporting data communication, include but not limited to
Smart mobile phone, tablet computer, pocket computer on knee and desktop computer etc..
Dispatch server 105 can be to provide the server of various services, such as on terminal device 101,102,103
Client application or data center 106,107,108 etc. carry out the server of control of network flow quantity.Dispatch server 105 can be with
The data received are stored, are analyzed etc. with processing, and according to analysis result to the network flow of data center or terminal device
Amount is controlled.
It should be noted that the network traffics dispatching method that the embodiment of the present application is provided is usually by dispatch server 105
It performs.Correspondingly, network traffics device is generally disposed in dispatch server 105.
It should be understood that the number of the terminal device, network, dispatch server and data center in Fig. 1 is only schematic
's.According to needs are realized, can have any number of terminal device, network and server.
With continued reference to Fig. 2, Fig. 2 shows an implementation of the network traffics dispatching method according to the data center of the application
The flow 200 of example.
As shown in Fig. 2, the network traffics dispatching method of the data center of the present embodiment comprises the following steps:
Step 201, the history bandwidth information of each data center at least two data centers to prestore is obtained.
Wherein, above-mentioned bandwidth information includes following information:Timestamp, bandwidth value associated with above-mentioned timestamp.
In the present embodiment, network traffics dispatching method operation thereon electronic equipment (such as it is shown in FIG. 1 scheduling clothes
Business device) can by from computer-readable storage medium (such as database) inquire the history of each data center
Bandwidth information.Exemplified by being inquired about from database, the history bandwidth information data in database can be gathered and preserve in advance
In database.
Step 202, according to above-mentioned history bandwidth information, bandwidth of each data center in following predetermined amount of time is predicted
Value, obtains the prediction bandwidth information of each data center.
In the present embodiment, dispatch server can be for example, by Neural Network model predictive, Curve Fitting Prediction, grey
The prediction algorithms such as prediction, according to above-mentioned history bandwidth information, to predict each data center in following predetermined amount of time (such as 10
Minute) bandwidth value, obtain the prediction bandwidth information of each data center.Wherein, above-mentioned history bandwidth information can be the time
Stamp is in predetermined amount of time in the past the history bandwidth information of (such as 30 minutes).
Step 203, according to the history bandwidth information of each data center and prediction bandwidth information, each data center is determined
Whether new bandwidth peak will be generated.
In the present embodiment, dispatch server can be directed to each data center, obtain the above-mentioned history band of data center
Maximum bandwidth value in wide information, it is then determined that whether having more than above-mentioned maximum bandwidth value in the prediction bandwidth information of data center
Prediction bandwidth information, if there is, it is determined that the data center will generate new bandwidth peak.
Step 204, if it is determined that there are problems that new bandwidth peak data center will be generated, then adjust each data
The flow at center.
In the present embodiment, dispatch server is if it is determined that there are problems that generate in new bandwidth peak data
The heart then (such as can reduce the flow point of above problem data center by changing the assignment of traffic ratio of each data center
With ratio, the assignment of traffic ratio of other data centers is improved);Or the assignment of traffic amount at problem data center is reduced, increase
The assignment of traffic amount of other data centers, to adjust the flow of each data center.These assignment of traffic ratios or assignment of traffic
Amount can be set by configuration file, and each data center can be respective to adjust by obtaining the information in the configuration file
Network traffics.
In some optional realization methods of the present embodiment, above-mentioned history bandwidth information is according in each data center
The outer net traffic generating that arrives of outer net port processing and preserve.Dispatch server can be by receiving in each data center
The interchanger of outer net port carries out the flow information that flow collection obtains, and generates the bandwidth information of data center, and bandwidth is believed
Breath is saved in computer-readable storage medium (such as database).
In some optional realization methods of the present embodiment, step 203 can include:According to going through for each data center
History bandwidth information and current bandwidth charging mode determine the history bandwidth benchmark of each data center, wherein, above-mentioned history bandwidth
Benchmark is for the value of the bandwidth parameter of computation bandwidth expense;For each data center, the prediction bandwidth based on data center
Information and the comparison of history bandwidth benchmark, determine whether each data center will generate new bandwidth peak.Wherein, history band
The computational methods of wide benchmark are related to current bandwidth charging mode.For example, if current bandwidth charging mode is peak value charged party
Formula, then the history bandwidth benchmark of data center can be the maximum bandwidth value in the above-mentioned history bandwidth information of data center;Such as
Fruit current bandwidth charging mode is 95 charging modes, then the history bandwidth benchmark of data center can be that the bandwidth of removal 5% is adopted
Peak value after sampling point.Dispatch server determines each data center after the history bandwidth benchmark of each data center is determined
Prediction bandwidth information in whether have the prediction bandwidth information more than above-mentioned history bandwidth benchmark, if there is, it is determined that the data
Center will generate new bandwidth peak (will generate higher bandwidth cost).By the realization method, make dispatch server
Can history bandwidth benchmark be determined using corresponding computation rule according to different bandwidth charging modes, and pass through history bandwidth
Benchmark determines whether each data center will generate new bandwidth peak, so that the method for the present embodiment can be adapted for
More bandwidth charging modes.
In some optional realization methods of the present embodiment, the network traffics dispatching method of the present embodiment can also wrap
It includes:If it is determined that there are problems that new bandwidth peak data center will be generated, and if other data centers are adjusted
Also new bandwidth peak will be generated after flow, then control the access number of users of above problem data center and/or downloads speed
Rate.By the realization method, can each data center all close to reach above-mentioned bandwidth peak (will generate more high bandwidth into
This) when, reduce problem data center by controlling access number of users and/or the downloading rate of above problem data center
Network traffics reduce bandwidth cost.
The network traffics dispatching method of data center provided in this embodiment passes through the history band according to each data center
Wide information and prediction bandwidth information, determine whether each data center will generate new bandwidth peak, and will determining to exist
The flow of each data center is adjusted when can lead to the problem of new bandwidth peak data center.Reduce and generate new band broad peak
The situation of value, so as to reduce the bandwidth cost of data center.
With further reference to Fig. 3, Fig. 3 show according to the network traffics dispatching method of the data center of the application another
The flow 300 of embodiment.
As shown in figure 3, the network traffics dispatching method of the data center of the present embodiment comprises the following steps:
Step 301, the history bandwidth information of each data center at least two data centers to prestore is obtained.
Wherein, above-mentioned bandwidth information includes following information:Timestamp, bandwidth value associated with above-mentioned timestamp and each
The occupied bandwidth value of cloud service.
In the present embodiment, difference lies in above-mentioned bandwidth information is also for step 201 in step 301 embodiment corresponding with Fig. 2
Including bandwidth value associated with above-mentioned timestamp and the occupied bandwidth value of each cloud service.Wherein, shared by each cloud service
Bandwidth value can by the outer net port processing in each data center to outer net flow obtain and preserve.Step 301
The specific processing of other aspects can refer to the related description that Fig. 2 corresponds to step 201 in embodiment, details are not described herein.
Step 302, according to above-mentioned history bandwidth information, bandwidth of each data center in following predetermined amount of time is predicted
Value, obtains the prediction bandwidth information of each data center.
In the present embodiment, the specific processing of step 302 can refer to the related description that Fig. 2 corresponds to step 202 in embodiment,
Details are not described herein.
Step 303, according to the history bandwidth information of each data center and prediction bandwidth information, each data center is determined
Whether new bandwidth peak will be generated.
In the present embodiment, the specific processing of step 303 can refer to the related description that Fig. 2 corresponds to step 203 in embodiment,
Details are not described herein.
Step 304, if it is determined that there are problems that new bandwidth peak data center will be generated, then according to the above problem
Each occupied bandwidth value of cloud service, is opened from the cloud service of occupied bandwidth value maximum in the history bandwidth information of data center
Begin, adjust the flow of each data center associated with cloud service.
In the present embodiment, dispatch server is if it is determined that there are problems that generate in new bandwidth peak data
The heart then can first obtain each occupied bandwidth value of cloud service in the history bandwidth information of above problem data center, then
Since the cloud service of occupied bandwidth value maximum, by the network flow for controlling each data center of cloud service operation thereon
Either sendout or control access the client (such as terminal device shown in FIG. 1) of the cloud service to the allocation proportion of amount
Flow, to adjust the flow of each data center associated with cloud service.
In some optional realization methods of the present embodiment, the network traffics dispatching method of the present embodiment can also wrap
It includes:If it is determined that there are problems that new bandwidth peak data center will be generated, and if other data centers are adjusted
Also new bandwidth peak will be generated after flow, then since the cloud service of occupied bandwidth value maximum, controls the access of cloud service
Number of users and/or downloading rate.By the realization method, it can all be approached in each data center and reach above-mentioned bandwidth peak
When (more high bandwidth cost will be generated), by the access for the cloud service for controlling the occupied bandwidth value of above problem data center big
Number of users and/or downloading rate reduce the network traffics at problem data center, reduce bandwidth cost.
From figure 3, it can be seen that compared with the corresponding embodiments of Fig. 2, network traffics dispatching method in the present embodiment
Flow 300 has further refine to the flow control to cloud service.The scheme of the present embodiment description can be more accurately as a result,
Dispatch the network traffics of data center.
With further reference to Fig. 4, as the realization to method shown in above-mentioned each figure, this application provides a kind of data centers
One embodiment of network traffics dispatching device, the device embodiment is corresponding with embodiment of the method shown in Fig. 2, device tool
Body can be applied in dispatch server.
As shown in figure 4, the device 400 of the data center of the present embodiment includes:History bandwidth information acquiring unit 401, band
Wide information predicting unit 402, new bandwidth peak generate determination unit 403 and flow adjustment unit 404.Wherein, history bandwidth
Information acquisition unit 401 is believed for obtaining the history bandwidth of each data center at least two data centers to prestore
Breath, wherein, above-mentioned bandwidth information includes following information:Timestamp, bandwidth value associated with above-mentioned timestamp;Bandwidth information is pre-
It surveys unit 402 to be used for according to above-mentioned history bandwidth information, predicts bandwidth value of each data center in following predetermined amount of time, obtain
To the prediction bandwidth information of each data center;New bandwidth peak generates determination unit 403 and is used for according to each data center
History bandwidth information and prediction bandwidth information, determine whether each data center will generate new bandwidth peak;Flow adjusts
Unit 404 determines that presence will generate new bandwidth peak data center for leading to the problem of determination unit in new bandwidth peak
When, adjust the flow of each data center.
In the present embodiment, history bandwidth information acquiring unit 401, bandwidth information predicting unit 402, the production of new bandwidth peak
The specific processing of raw determination unit 403 and flow adjustment unit 404 can correspond to step 201 in embodiment, step with reference to figure 2 respectively
Rapid 202, the related description of step 203 and step 204, details are not described herein.
In some optional realization methods of the present embodiment, the network traffics dispatching device of the present embodiment can also wrap
It includes:History bandwidth information storage unit 405, the outer net flow life arrived for basis in the outer net port processing of each data center
Into and preserve history bandwidth information.The specific processing of history bandwidth information storage unit 405 can refer to Fig. 2 and correspond to phase in embodiment
The associated description of realization method is answered, details are not described herein.
In some optional realization methods of the present embodiment, new bandwidth peak, which generates determination unit 403, to be included:It goes through
History bandwidth benchmark determination subelement 4031, for the history bandwidth information and current bandwidth charged party according to each data center
Formula determines the history bandwidth benchmark of each data center, wherein, above-mentioned history bandwidth benchmark is for the band of computation bandwidth expense
The value of wide parameter;New bandwidth peak generates determination subelement 4032, for being directed to each data center, based on the pre- of data center
Bandwidth information and the comparison of history bandwidth benchmark are surveyed, determines whether each data center will generate new bandwidth peak.The reality
The specific processing of existing mode and its caused technique effect, which can refer to Fig. 2 and correspond to the correlation of corresponding realization method in embodiment, to be retouched
It states, details are not described herein.
In some optional realization methods of the present embodiment, the network traffics dispatching device of the present embodiment can also wrap
It includes:First downloading rate control unit 406 determines that presence will generate new band for generating determination unit in new bandwidth peak
The problem of broad peak data center, and if will also generate new bandwidth peak after the adjusted flow of other data centers
When, the access number of users and/or downloading rate of control above problem data center.It, can be each by the realization method
Data center all close to reach above-mentioned bandwidth peak (more high bandwidth cost will be generated) when, by controlling in above problem data
The access number of users of the heart and/or downloading rate reduce the network traffics at problem data center, reduce bandwidth cost.
In some optional realization methods of the present embodiment, above-mentioned bandwidth information can also include:With above-mentioned timestamp
The associated occupied bandwidth value of each cloud service.And above-mentioned flow adjustment unit 404 can be also used for being asked according to above-mentioned
Each occupied bandwidth value of cloud service in the history bandwidth information of data center is inscribed, is opened from the cloud service of occupied bandwidth value maximum
Begin, adjust the flow of each data center associated with cloud service.The specific processing of the realization method can refer to Fig. 3 and correspond in fact
The associated description of step 301 and step 304 in example is applied, details are not described herein.By the realization method, further it has refine to pair
The flow control of cloud service, so as to more accurately dispatch the network traffics of data center.
Based on above-mentioned realization method, in some optional realization methods of the present embodiment, the network traffics of the present embodiment
Dispatching device can also include:Second downloading rate control unit 407 determines to deposit for generating determination unit in new bandwidth peak
New bandwidth peak data center will be being led to the problem of, and if will also produced after the adjusted flow of other data centers
During raw new bandwidth peak, then since the cloud service of occupied bandwidth value maximum, control cloud service access number of users and/or
Downloading rate.The specific processing of the realization method and its caused technique effect can refer to Fig. 3 and correspond to corresponding reality in embodiment
The associated description of existing mode, details are not described herein.
It will be understood by those skilled in the art that above-mentioned network traffics dispatching device 400 can also be including some other known
Structure, such as processor, memory etc., in order to unnecessarily obscure embodiment of the disclosure, these well known structures are in Fig. 4
It is not shown.
Below with reference to Fig. 5, it illustrates suitable for being used for realizing the computer system of the dispatch server of the embodiment of the present application
500 structure diagram.
As shown in figure 5, computer system 500 can include central processing unit (CPU) 501, it can be according to being stored in
Program in read-only memory (ROM) 502 or the journey being loaded into from storage part 508 in random access storage device (RAM) 503
Sequence and perform various appropriate actions and processing.In RAM 503, be also stored with system 500 operate required various programs and
Data.CPU 501, ROM 502 and RAM 503 are connected with each other by bus 504.Input/output (I/O) interface 505 also connects
It is connected to bus 504.
I/O interfaces 505 are connected to lower component:Storage part 506 including hard disk etc.;And including such as LAN card, tune
The communications portion 507 of the network interface card of modulator-demodulator etc..Communications portion 507 performs mailing address via the network of such as internet
Reason.Driver 508 is also according to needing to be connected to I/O interfaces 505.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product, it is machine readable including being tangibly embodied in
Computer program on medium, the computer program are included for the program code of the method shown in execution flow chart.At this
In the embodiment of sample, which can be downloaded and installed from network by communications portion 507 and/or from removable
Medium (such as disk, CD, magneto-optic disk, semiconductor memory etc.) is unloaded to be mounted.
Flow chart and block diagram in attached drawing, it is illustrated that according to the system of the various embodiments of the application, method and computer journey
Architectural framework in the cards, function and the operation of sequence product.In this regard, each box in flow chart or block diagram can generation
The part of one module of table, program segment or code, a part for the module, program segment or code include one or more
The executable instruction of logic function as defined in being used to implement.It should also be noted that some as replace realization in, institute in box
The function of mark can also be occurred with being different from the order marked in attached drawing.For example, two boxes succeedingly represented are actual
On can perform substantially in parallel, they can also be performed in the opposite order sometimes, this is depending on involved function.Also
It is noted that the combination of each box in block diagram and/or flow chart and the box in block diagram and/or flow chart, Ke Yiyong
The dedicated hardware based systems of functions or operations as defined in execution is realized or can referred to specialized hardware and computer
The combination of order is realized.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit can also be set in the processor, for example, can be described as:A kind of processor bag
It includes history bandwidth information acquiring unit, bandwidth information predicting unit, new bandwidth peak and generates determination unit and flow adjustment list
Member.Wherein, the title of these units does not form the restriction to the unit in itself under certain conditions, for example, history bandwidth is believed
Breath acquiring unit is also described as " the history band of each data center at least two data centers that acquisition prestores
The unit of wide information ".
As on the other hand, present invention also provides a kind of nonvolatile computer storage media, the non-volatile calculating
Machine storage medium can be nonvolatile computer storage media included in device described in above-described embodiment;Can also be
Individualism, without the nonvolatile computer storage media in supplying terminal.Above-mentioned nonvolatile computer storage media is deposited
One or more program is contained, when one or more of programs are performed by an equipment so that the equipment:It obtains
The history bandwidth information of each data center at least two data centers to prestore, wherein, the bandwidth information includes
Following information:Timestamp, bandwidth value associated with the timestamp;According to the history bandwidth information, each data are predicted
Center obtains the prediction bandwidth information of each data center in the bandwidth value of following predetermined amount of time;According to each data center
History bandwidth information and prediction bandwidth information, determine whether each data center will generate new bandwidth peak;If really
It is fixed to there are problems that new bandwidth peak data center is generated, then adjust the flow of each data center.
The preferred embodiment and the explanation to institute's application technology principle that above description is only the application.People in the art
Member should be appreciated that invention scope involved in the application, however it is not limited to the technology that the particular combination of above-mentioned technical characteristic forms
Scheme, while should also cover in the case where not departing from the inventive concept, it is carried out by above-mentioned technical characteristic or its equivalent feature
The other technical solutions for being combined and being formed.Such as features described above has similar work(with (but not limited to) disclosed herein
The technical solution that the technical characteristic of energy is replaced mutually and formed.
Claims (10)
1. a kind of network traffics dispatching method of data center, which is characterized in that the described method includes:
The history bandwidth information of each data center at least two data centers to prestore is obtained, wherein, the bandwidth
Information includes following information:Timestamp, bandwidth value associated with the timestamp;
Using Neural Network model predictive algorithm and/or Curve Fitting Prediction algorithm and/or Grey Prediction Algorithm, gone through according to described
History bandwidth information predicts bandwidth value of each data center in following predetermined amount of time, obtains the pre- measuring tape of each data center
Wide information;
According to the history bandwidth information of each data center and prediction bandwidth information, determine whether each data center will generate
New bandwidth peak;
If it is determined that there are problems that new bandwidth peak data center will be generated, then the flow of each data center is adjusted;
Wherein, the history bandwidth information according to each data center and prediction bandwidth information, determine that each data center is
It is no to generate new bandwidth peak, including:
According to the history bandwidth information of each data center and current bandwidth charging mode, the history band of each data center is determined
Wide benchmark, wherein, the history bandwidth benchmark is for the value of the bandwidth parameter of computation bandwidth expense;
For each data center, prediction bandwidth information and the comparison of history bandwidth benchmark based on data center determine each
Whether data center will generate new bandwidth peak.
2. according to the method described in claim 1, it is characterized in that, the history bandwidth information is according in each data center
The outer net traffic generating that arrives of outer net port processing and preserve.
3. method according to claim 1 or 2, which is characterized in that the method further includes:
If it is determined that there are problems that new bandwidth peak data center will be generated, and if other data centers are adjusted
Also new bandwidth peak will be generated after flow, then control the access number of users of described problem data center and/or downloads speed
Rate.
4. method according to claim 1 or 2, which is characterized in that the bandwidth information further includes:With the timestamp phase
The associated occupied bandwidth value of each cloud service;And
The flow of each data center of adjustment, including:
According to each occupied bandwidth value of cloud service in the history bandwidth information of described problem data center, from occupied bandwidth value
Maximum cloud service starts, and adjusts the flow of each data center associated with cloud service.
5. according to the method described in claim 4, it is characterized in that, the method further includes:
If it is determined that there are problems that new bandwidth peak data center will be generated, and if other data centers are adjusted
Also new bandwidth peak will be generated after flow, then since the cloud service of occupied bandwidth value maximum, controls the access of cloud service
Number of users and/or downloading rate.
6. the network traffics dispatching device of a kind of data center, which is characterized in that described device includes:
History bandwidth information acquiring unit, for obtaining going through for each data center at least two data centers to prestore
History bandwidth information, wherein, the bandwidth information includes following information:Timestamp, bandwidth value associated with the timestamp;
Bandwidth information predicting unit, for utilizing Neural Network model predictive algorithm and/or Curve Fitting Prediction algorithm and/or ash
Color prediction algorithm according to the history bandwidth information, is predicted bandwidth value of each data center in following predetermined amount of time, is obtained
The prediction bandwidth information of each data center;
New bandwidth peak generates determination unit, for the history bandwidth information according to each data center and predicts bandwidth information,
Determine whether each data center will generate new bandwidth peak;
Flow adjustment unit determines that presence will generate asking for new bandwidth peak for generating determination unit in new bandwidth peak
When inscribing data center, the flow of each data center is adjusted;
Wherein, the new bandwidth peak generates determination unit and includes:
History bandwidth benchmark determination subelement, for the history bandwidth information and current bandwidth charged party according to each data center
Formula determines the history bandwidth benchmark of each data center, wherein, the history bandwidth benchmark is for the band of computation bandwidth expense
The value of wide parameter;
New bandwidth peak generates determination subelement, for being directed to each data center, the prediction bandwidth information based on data center
With the comparison of history bandwidth benchmark, determine whether each data center will generate new bandwidth peak.
7. device according to claim 6, which is characterized in that described device further includes:
History bandwidth information storage unit, the outer net traffic generating arrived for basis in the outer net port processing of each data center
And preserve history bandwidth information.
8. the device according to claim 6 or 7, which is characterized in that described device further includes:
First downloading rate control unit determines that presence will generate new bandwidth for generating determination unit in new bandwidth peak
The problem of peak value data center, and if when will also generate new bandwidth peak after the adjusted flow of other data centers,
Control the access number of users and/or downloading rate of described problem data center.
9. the device according to claim 6 or 7, which is characterized in that the bandwidth information further includes:With the timestamp phase
The associated occupied bandwidth value of each cloud service;And
The flow adjustment unit is additionally operable in the history bandwidth information according to described problem data center shared by each cloud service
Bandwidth value since the cloud service of occupied bandwidth value maximum, adjusts the stream of each data center associated with cloud service
Amount.
10. device according to claim 9, which is characterized in that described device further includes:
Second downloading rate control unit determines that presence will generate new bandwidth for generating determination unit in new bandwidth peak
The problem of peak value data center, and if when will also generate new bandwidth peak after the adjusted flow of other data centers,
Then since the cloud service of occupied bandwidth value maximum, the access number of users and/or downloading rate of cloud service are controlled.
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CN201610016269.8A CN105471759B (en) | 2016-01-11 | 2016-01-11 | The network traffics dispatching method and device of data center |
HK16109191.0A HK1221346A1 (en) | 2016-01-11 | 2016-08-02 | Data center network traffic management method and device |
JP2016163009A JP6457447B2 (en) | 2016-01-11 | 2016-08-23 | Data center network traffic scheduling method and apparatus |
BR102016021194-8A BR102016021194B1 (en) | 2016-01-11 | 2016-09-14 | TRAFFIC MANAGEMENT METHOD AND DEVICE IN THE DATA CENTER NETWORK |
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