CN108667658B - Bandwidth multiplexing method and device - Google Patents
Bandwidth multiplexing method and device Download PDFInfo
- Publication number
- CN108667658B CN108667658B CN201810401421.3A CN201810401421A CN108667658B CN 108667658 B CN108667658 B CN 108667658B CN 201810401421 A CN201810401421 A CN 201810401421A CN 108667658 B CN108667658 B CN 108667658B
- Authority
- CN
- China
- Prior art keywords
- bandwidth
- domain
- time domain
- information
- domain information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0896—Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/45—Network directories; Name-to-address mapping
- H04L61/4505—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols
- H04L61/4511—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols using domain name system [DNS]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The document discloses a bandwidth multiplexing method and a device, comprising the following steps: acquiring bandwidth time domain information of the obtained domain name, wherein the bandwidth time domain information comprises bandwidth time domain information of each operator in each region; determining bandwidth sections to which bandwidth time domain information of different domain names corresponding to operators in each region belongs; performing bandwidth combination aiming at the target area, and combining bandwidth time domain information of each domain name in each bandwidth interval smaller than the upper limit of the bandwidth of the target area; and performing domain name access scheduling according to the result of the bandwidth combination. The invention takes the bandwidth peak value factors of different users into consideration, segments the bandwidth interval, combines the bandwidth time domain information of each domain name in the bandwidth interval and reasonably combines the time domain information; and the bandwidth frequency domain information of the domain name is also adopted, so that the data processing amount is effectively reduced, the peak value determined according to the frequency domain information is more accurate, and the judgment accuracy of the bandwidth peak period is improved.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a bandwidth multiplexing method and device.
Background
In an existing cloud Delivery environment, for example, in a Content Delivery Network (CDN), charging is generally performed according to a fixed duration, for example, monthly charging or yearly charging, when a bandwidth consumed when a user uses a Network service is charged. In practical applications, a cloud distribution environment serves thousands of clients, each client uses a different service, and the bandwidth models are different. Therefore, how to select an optimal combination scheme from the bandwidth models of the clients, improve the bandwidth reuse rate, improve the profit margin and save the cost is a problem to be solved urgently.
In the prior art, by utilizing an initial bandwidth model and log data analysis, combining the relationship between each service and the rules of an operator and the bandwidth utilization rate, and utilizing a certain strategy, a better model can be set, so that the services of each node in different peak periods are combined with each other to achieve the optimal utilization rate of each node, thereby being capable of utilizing the bandwidth to the maximum extent and saving the bandwidth use cost of a CDN (content delivery network) service provider.
When the above existing method calculates the combination mode according to the bandwidth model of each client, the following disadvantages exist:
(1) the method generally uses time domain signals, the time domain signals comprise signal values recorded every 1 minute or 5 minutes, when a plurality of network nodes directly use the time domain signals for calculation, the calculation amount is huge, and the processing effect is low.
(2) When scheduling is performed according to bandwidths in different peak periods, charging characteristics and bandwidth peak data of each cloud distribution node server corresponding to network resource data in the CDN are obtained, data related to bandwidth configuration are generated through the data, corresponding scheduling is performed, data combination is not real-time and dynamic, calculation and evaluation are performed within a period of time, and scheduling accuracy is affected by the data combination.
(3) Through the verification of practical application, the combination effect of the final combination mode obtained by the method is not ideal enough.
Therefore, a new bandwidth multiplexing method needs to be provided.
Disclosure of Invention
In order to solve the technical problem, the invention provides a bandwidth multiplexing method and a bandwidth multiplexing device.
The bandwidth multiplexing method provided by the invention comprises the following steps:
acquiring bandwidth time domain information of a domain name, wherein the bandwidth time domain information comprises bandwidth time domain information of each operator in each region;
determining bandwidth sections to which bandwidth time domain information of different domain names corresponding to operators in each region belongs;
performing bandwidth combination for the target area, including: combining the bandwidth time domain information of each domain name in each bandwidth section smaller than the upper limit of the bandwidth of the target area; wherein the target area refers to a region, an operator, or a combination of the region and the operator;
and performing domain name access scheduling according to the result of the bandwidth combination.
The method also has the following characteristics:
the end condition for combining the bandwidth time domain information of each domain name in each bandwidth section smaller than the upper limit of the bandwidth of the target area is as follows: the combined bandwidth is smaller than the difference value between the upper bandwidth limit of the target area and a preset threshold value.
The method also has the following characteristics:
the combining the bandwidth time domain information of each domain name in each bandwidth section smaller than the upper bandwidth limit of the region includes: and combining the bandwidth time domain information of each domain name in each bandwidth section, and combining the combined bandwidth time domain information in each bandwidth section according to the sequence of the span values of the bandwidth sections from large to small.
The method also has the following characteristics:
the combining the bandwidth time domain information of each domain name in each pair of bandwidth segment sections comprises:
and calculating the frequency domain peak staggering degree of the bandwidth time domain information of any two domain names in the bandwidth interval aiming at the bandwidth interval, overlapping the bandwidth time domain information of the two domain names with the highest frequency domain peak staggering degree, replacing the bandwidth time domain information of the domain name with the highest bandwidth value in the two domain names with the overlapped bandwidth time domain information, and deleting the bandwidth time domain information of the domain name with the lowest bandwidth value in the two domain names.
The method also has the following characteristics:
the calculating the frequency domain peak error degree of any two domain names in the bandwidth interval section comprises: and respectively carrying out time-frequency conversion on the bandwidth time-domain information of the two domain names to obtain frequency domain bandwidth information, and calculating the peak error degree of the two domain names according to the first N signal values in the two frequency domain bandwidth information.
The bandwidth multiplexing device provided by the invention comprises:
the acquisition module is used for acquiring bandwidth time domain information of the obtained domain name, wherein the bandwidth time domain information comprises bandwidth time domain information of each operator in each region;
the determining module is used for determining bandwidth sections to which bandwidth time domain information of different domain names corresponding to operators in each region belongs;
a combining module for performing bandwidth combining for a target region, comprising: combining the bandwidth time domain information of each domain name in each bandwidth section smaller than the upper limit of the bandwidth of the target area; wherein the target area refers to a region, an operator, or a combination of the region and the operator;
and the scheduling module is used for carrying out domain name access scheduling according to the result of the bandwidth combination.
The device also has the following characteristics:
the combination module is further configured to use the following end condition as an end condition for combining bandwidth time domain information of each domain name located in each bandwidth section smaller than the upper limit of the bandwidth of the target region: the combined bandwidth is smaller than the difference value between the upper bandwidth limit of the target area and a preset threshold value.
The device also has the following characteristics:
the combination module comprises a first combination unit and a second combination unit;
the first combination unit is used for combining the bandwidth time domain information of each domain name in each bandwidth interval;
and the second combination unit is used for combining the combined bandwidth time domain information in each bandwidth section according to the sequence of the span values of the bandwidth sections from large to small.
The device also has the following characteristics:
the first combination unit comprises a calculation subunit, a superposition subunit, a replacement subunit and a deletion subunit;
the calculation subunit is used for calculating the frequency domain peak error degree of any two domain names in a bandwidth interval aiming at the bandwidth interval;
the superposition subunit is used for superposing the bandwidth time domain information of the two domain names with the highest frequency domain peak staggering degree;
the replacing subunit is used for replacing the bandwidth time domain information of the domain name with the highest bandwidth value in the two domain names with the superimposed bandwidth time domain information;
and the deleting subunit is used for deleting the bandwidth time domain information of the domain name with the lowest bandwidth value in the two domain names.
The device also has the following characteristics:
the calculating subunit is further configured to calculate frequency domain peak error degrees of the bandwidth time domain information of any two domain names in the bandwidth segment by using the following method, including: and respectively carrying out time-frequency conversion on the bandwidth time-domain information of the two domain names to obtain frequency domain bandwidth information, and calculating the peak error degree of the two domain names according to the first N signal values in the two frequency domain bandwidth information.
The invention takes the bandwidth peak value factors of different users into consideration, segments the bandwidth interval, and combines the bandwidth time domain information of each domain name in the bandwidth interval, thereby reasonably combining the time domain information. The invention also adopts the bandwidth frequency domain information of the domain name, which can effectively reduce the data processing amount, and the peak value determined according to the frequency domain information is more accurate, thereby improving the judgment accuracy of the bandwidth peak period.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a bandwidth multiplexing method in an embodiment;
fig. 2 is a schematic diagram of bandwidth time domain information of a first domain name in an example embodiment;
fig. 3 is a schematic diagram of bandwidth time domain information of a second domain name in an example embodiment;
fig. 4 is a schematic diagram of bandwidth frequency domain information of the first domain name in an example embodiment;
fig. 5 is a schematic diagram of bandwidth frequency domain information of a second domain name in an example embodiment;
fig. 6 is a structural diagram of a bandwidth multiplexing apparatus in the embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The inventor analyzes the method in the prior art, and in the prior art, the time of the CDN node is different in the work and rest time of the access group at different moments, so that the time points of the high peak of the bandwidth are different. If one node serves different CDN acceleration users, and different CDN acceleration users have different peak values due to different service characteristics, if the peak value is not clipped, the value will possibly be the charging bandwidth of the node, thereby causing a cost increase. In the embodiment of the invention, the bandwidth peak value factors of different users are considered, and a new bandwidth multiplexing method is constructed.
As shown in fig. 1, the bandwidth multiplexing method includes:
step 101, acquiring and obtaining bandwidth time domain information of each domain name, wherein the bandwidth time domain information comprises bandwidth time domain information of each operator in each region;
when data acquisition is carried out in the method, the acquisition modules can be deployed at all cloud distribution nodes for scattered acquisition, and the acquisition modules can be uniformly arranged in one region for uniform acquisition. The bandwidth corresponding to different domain names at different moments is collected through the collection module, the collected bandwidth data is uniformly returned to the central collector through the bandwidth collection module, the bandwidth data of all the domain names at present is collected and updated, the bandwidth data comprises detailed data of all the bandwidth of all nodes of each operator and bandwidth data of various services corresponding to each domain name in preset various time periods. The bandwidth time domain information refers to bandwidth information of each domain name on a time axis. Take the first domain name and the second domain name as an example: fig. 2 is a schematic diagram of bandwidth time domain information of a first domain name, where the horizontal axis is a time axis and the vertical axis is a bandwidth value, and fig. 3 is bandwidth time domain information of a second domain name.
Step 102, determining bandwidth sections to which bandwidth time domain information of different domain names corresponding to operators in each region belongs;
this step 102 further includes: the acquired bandwidth data is classified, and six classification modes can be obtained according to various combination modes of three factors, namely, regions, operators and domain names, for example: and the bandwidth conditions of different domain names of the same operator in the same region, the bandwidth conditions of different operators of the same domain name in the same region and the like, and then the bandwidth sections are classified according to the bandwidth acquisition data.
And 104, performing domain name access scheduling according to the result of the bandwidth combination.
In the method, the end condition for combining the bandwidth time domain information of each domain name in each bandwidth section smaller than the upper limit of the bandwidth of the target area is as follows: the combined bandwidth is smaller than the difference value between the upper bandwidth limit of the target area and the preset threshold value. For example, the upper limit of the bandwidth of the target area is 100G, the preset threshold is 2G, and the combination may be stopped when the combined bandwidth is less than 98.
The region in the method refers to the division according to the geographical region, such as Beijing, Shanghai, and the like. The method can also preset the range of each bandwidth interval, and when the bandwidth interval is set, the peak value of the bandwidth time domain signal of each domain name can be taken, the domain names are sorted according to the peak value, the point is taken for segmentation, and the domain names are classified into the domain names of different bandwidth intervals. The point-taking mode is related to the final bandwidth peak value to be superimposed, for example, the node bandwidth 100G can take points 100G, 10G, 1G, 100M and 10M, so that the domain name is divided into six sections of more than 100G, 10-100G, 1G-10G, 100M-1G, 10-100M and less than 10M. Examples are as follows: totally, 4 bandwidth sections are set, and the corresponding ranges are as follows: 10G to 100G, 1G to 10G, 100M to 1G, 0M to 100M.
For example, the scheduling method before executing the method is as shown in table 1 below:
TABLE 1
In step 103, the combining the bandwidth time domain information of each domain name located in each bandwidth segment smaller than the upper limit of the bandwidth of the region includes: and combining the bandwidth time domain information of each domain name in each bandwidth section, and combining the combined bandwidth time domain information in each bandwidth section according to the sequence of the span values of the bandwidth sections from large to small.
Wherein, the combining the bandwidth time domain information of each domain name in the bandwidth interval comprises: and calculating the frequency domain peak staggering degree of the bandwidth time domain information of any two domain names in the bandwidth interval aiming at the bandwidth interval, superposing the bandwidth time domain information of the two domain names with the highest frequency domain peak staggering degree, replacing the bandwidth time domain information of the domain name with the highest bandwidth value in the two domain names with the superposed bandwidth time domain information, and deleting the bandwidth time domain information of the domain name with the lowest bandwidth value in the two domain names.
Calculating the frequency domain peak error degree of the bandwidth time domain information of any two domain names in the bandwidth interval section comprises the following steps: and respectively carrying out time-frequency conversion on the bandwidth time-domain information of the two domain names to obtain frequency domain bandwidth information, and calculating the peak error degree of the two domain names according to the first N signal values in the two frequency domain bandwidth information. The time-frequency transformation method includes, but is not limited to, fourier transform. In the method, after the time-frequency conversion is finished, the frequency domain information can be subjected to low-pass filtering to remove information with low correlation, so that the information amount is reduced. Take the first domain name and the second domain name as an example: fig. 4 is a schematic diagram of bandwidth frequency domain information of the first domain name, where the horizontal axis is a time axis and the vertical axis is a bandwidth value, and fig. 5 is bandwidth frequency domain information of the second domain name.
For example, when N is 5, the 5 values correspond to different weights (to reflect different degrees of influence of different frequency domains on the time domain waveform signal), and the larger the sum of the differences is, the higher the peak error degree is. The specific calculation method is to calculate the sum of the products of N values and the corresponding weights, for example:wherein rank represents the degree of peak shift, xiRepresenting the value of the ith point on the frequency domain information, aiThe weight corresponding to the ith point is shown, and N is the number of discrete points on the frequency domain information.
After step 103 is executed, for the example described in table 1, the scheduling manner is changed to the one shown in table 2:
TABLE 2
As shown in table 1, before using the method of the present invention, when scheduling access requests for domain names, nodes are not distinguished, that is, all nodes cover all domain names of corresponding areas. As shown in table 2, after the method of the present invention is used, different nodes in each area use different combinations of domain names, and after an area receives an access request of a corresponding domain name, the access request is scheduled to a corresponding node, and bandwidth values indicated at the nodes in table 2 indicate the capacity of the node.
After the method is used, the utilization rate of the nodes can be improved, the time domain bandwidth curve of the nodes is more uniform and reasonable, the above example only takes 5 domain names as an example, the more the total number of the domain names is, the higher the improvement degree of the utilization rate of the nodes is after the method is used for combination, and the more uniform the time domain bandwidth curve of the nodes is.
The invention takes the bandwidth peak value factors of different users into consideration, segments the bandwidth interval, and combines the bandwidth time domain information of each domain name in the bandwidth interval, thereby reasonably combining the time domain information. The invention also adopts the frequency domain information of the domain name bandwidth, which can effectively reduce the data processing amount, and the peak value determined according to the frequency domain information is more accurate, thereby improving the judgment accuracy of the bandwidth peak period.
Fig. 6 is a block diagram of a bandwidth multiplexing apparatus according to an embodiment of the present invention, the apparatus including:
the acquisition module is used for acquiring bandwidth time domain information of the obtained domain name, wherein the bandwidth time domain information comprises bandwidth time domain information of each operator in each region;
the determining module is used for determining bandwidth sections to which bandwidth time domain information of different domain names corresponding to operators in each region belongs;
a combining module for performing bandwidth combining for a target region, comprising: combining the bandwidth time domain information of each domain name in each bandwidth section smaller than the upper limit of the bandwidth of the target area; wherein the target area refers to a region, an operator, or a combination of the region and the operator;
and the scheduling module is used for carrying out domain name access scheduling according to the result of the bandwidth combination.
Wherein the content of the first and second substances,
a combination module, further configured to use the following end condition as an end condition for combining bandwidth time domain information of each domain name located in each bandwidth section smaller than the upper limit of the bandwidth of the target region: the combined bandwidth is smaller than the difference value between the upper bandwidth limit of the target area and a preset threshold value.
The combination module includes a first combination unit and a second combination unit.
The first combination unit is used for combining the bandwidth time domain information of each domain name in each bandwidth interval; the second combination unit is used for combining the combined bandwidth time domain information in each bandwidth section according to the sequence of the span values of the bandwidth sections from large to small.
The first combination unit comprises a calculation subunit, an overlapping subunit, a replacement subunit and a deletion subunit.
The calculation subunit is used for calculating the frequency domain peak error degree of the bandwidth time domain information of any two domain names in a bandwidth interval aiming at the bandwidth interval; specifically, calculating the frequency domain peak offset degree of the bandwidth time domain information of any two domain names in the bandwidth interval by using the following method includes: and respectively carrying out time-frequency conversion on the bandwidth time-domain information of the two domain names to obtain frequency domain bandwidth information, and calculating the peak error degree of the two domain names according to the first N signal values in the two frequency domain bandwidth information.
The superposition subunit is used for superposing the bandwidth time domain information of the two domain names with the highest frequency domain peak staggering degree;
the replacing subunit is used for replacing the bandwidth time domain information of the domain name with the highest bandwidth value in the two domain names with the superimposed bandwidth time domain information;
and the deleting subunit is used for deleting the bandwidth time domain information of the domain name with the lowest bandwidth value in the two domain names.
The above-described aspects may be implemented individually or in various combinations, and such variations are within the scope of the present invention.
It will be understood by those skilled in the art that all or part of the steps of the above methods may be implemented by instructing the relevant hardware through a program, and the program may be stored in a computer-readable storage medium, such as a read-only memory, a magnetic or optical disk, and the like. Alternatively, all or part of the steps of the foregoing embodiments may also be implemented by using one or more integrated circuits, and accordingly, each module/unit in the foregoing embodiments may be implemented in the form of hardware, and may also be implemented in the form of a software functional module. The present invention is not limited to any specific form of combination of hardware and software.
It is to be noted that, in this document, the terms "comprises", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion, so that an article or apparatus including a series of elements includes not only those elements but also other elements not explicitly listed or inherent to such article or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of additional like elements in the article or device comprising the element.
The above embodiments are merely to illustrate the technical solutions of the present invention and not to limit the present invention, and the present invention has been described in detail with reference to the preferred embodiments. It will be understood by those skilled in the art that various modifications and equivalent arrangements may be made without departing from the spirit and scope of the present invention and it should be understood that the present invention is to be covered by the appended claims.
Claims (10)
1. A method for bandwidth multiplexing, comprising:
acquiring bandwidth time domain information of a domain name, wherein the bandwidth time domain information comprises bandwidth time domain information of each operator in each region;
determining bandwidth sections to which bandwidth time domain information of different domain names corresponding to operators in each region belongs;
performing bandwidth combination for the target area, including: combining the bandwidth time domain information of each domain name in each bandwidth section smaller than the upper limit of the bandwidth of the target area; wherein the target area refers to a region, an operator, or a combination of the region and the operator;
and according to the result of the bandwidth combination, different nodes in each region in the CDN network use different combinations of domain names to perform domain name access scheduling.
2. The method for bandwidth multiplexing according to claim 1,
the end condition for combining the bandwidth time domain information of each domain name in each bandwidth section smaller than the upper limit of the bandwidth of the target area is as follows: the combined bandwidth is smaller than the difference value between the upper bandwidth limit of the target area and a preset threshold value.
3. The method for bandwidth multiplexing according to claim 1,
the combining the bandwidth time domain information of each domain name in each bandwidth section smaller than the upper bandwidth limit of the region includes: and combining the bandwidth time domain information of each domain name in each bandwidth section, and combining the combined bandwidth time domain information in each bandwidth section according to the sequence of the span values of the bandwidth sections from large to small.
4. The method for bandwidth multiplexing according to claim 3,
the combining the bandwidth time domain information of each domain name in each bandwidth interval comprises:
and calculating the frequency domain peak staggering degree of the bandwidth time domain information of any two domain names in the bandwidth interval aiming at the bandwidth interval, overlapping the bandwidth time domain information of the two domain names with the highest frequency domain peak staggering degree, replacing the bandwidth time domain information of the domain name with the highest bandwidth value in the two domain names with the overlapped bandwidth time domain information, and deleting the bandwidth time domain information of the domain name with the lowest bandwidth value in the two domain names.
5. The method for bandwidth multiplexing according to claim 4,
the calculating the frequency domain peak error degree of any two domain names in the bandwidth interval section comprises: and respectively carrying out time-frequency conversion on the bandwidth time-domain information of the two domain names to obtain frequency domain bandwidth information, and calculating the peak error degree of the two domain names according to the first N signal values in the two frequency domain bandwidth information.
6. A bandwidth multiplexing device, comprising:
the acquisition module is used for acquiring bandwidth time domain information of the obtained domain name, wherein the bandwidth time domain information comprises bandwidth time domain information of each operator in each region;
the determining module is used for determining bandwidth sections to which bandwidth time domain information of different domain names corresponding to operators in each region belongs;
a combining module for performing bandwidth combining for a target region, comprising: combining the bandwidth time domain information of each domain name in each bandwidth section smaller than the upper limit of the bandwidth of the target area; wherein the target area refers to a region, an operator, or a combination of the region and the operator;
and the scheduling module is used for performing domain name access scheduling on different nodes in each region in the CDN by using different domain name combinations according to the result of the bandwidth combination.
7. The bandwidth multiplexing device of claim 6,
the combination module is further configured to use the following end condition as an end condition for combining bandwidth time domain information of each domain name located in each bandwidth section smaller than the upper limit of the bandwidth of the target region: the combined bandwidth is smaller than the difference value between the upper bandwidth limit of the target area and a preset threshold value.
8. The bandwidth multiplexing device of claim 6,
the combination module comprises a first combination unit and a second combination unit;
the first combination unit is used for combining the bandwidth time domain information of each domain name in each bandwidth interval;
and the second combination unit is used for combining the combined bandwidth time domain information in each bandwidth section according to the sequence of the span values of the bandwidth sections from large to small.
9. The bandwidth multiplexing device of claim 8,
the first combination unit comprises a calculation subunit, a superposition subunit, a replacement subunit and a deletion subunit;
the calculation subunit is used for calculating the frequency domain peak error degree of any two domain names in a bandwidth interval aiming at the bandwidth interval;
the superposition subunit is used for superposing the bandwidth time domain information of the two domain names with the highest frequency domain peak staggering degree;
the replacing subunit is used for replacing the bandwidth time domain information of the domain name with the highest bandwidth value in the two domain names with the superimposed bandwidth time domain information;
and the deleting subunit is used for deleting the bandwidth time domain information of the domain name with the lowest bandwidth value in the two domain names.
10. The bandwidth multiplexing device of claim 9,
the calculating subunit is further configured to calculate frequency domain peak error degrees of the bandwidth time domain information of any two domain names in the bandwidth segment by using the following method, including: and respectively carrying out time-frequency conversion on the bandwidth time-domain information of the two domain names to obtain frequency domain bandwidth information, and calculating the peak error degree of the two domain names according to the first N signal values in the two frequency domain bandwidth information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810401421.3A CN108667658B (en) | 2018-04-28 | 2018-04-28 | Bandwidth multiplexing method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810401421.3A CN108667658B (en) | 2018-04-28 | 2018-04-28 | Bandwidth multiplexing method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108667658A CN108667658A (en) | 2018-10-16 |
CN108667658B true CN108667658B (en) | 2020-02-21 |
Family
ID=63781335
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810401421.3A Active CN108667658B (en) | 2018-04-28 | 2018-04-28 | Bandwidth multiplexing method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108667658B (en) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109412977B (en) | 2018-10-18 | 2022-05-17 | 网宿科技股份有限公司 | Domain name bandwidth adjusting method and related equipment |
CN110519104B (en) * | 2019-09-18 | 2022-06-14 | 深圳市梦网视讯有限公司 | Bandwidth multiplexing method and system based on peak error degree |
CN110519105B (en) * | 2019-09-18 | 2022-05-03 | 深圳市梦网视讯有限公司 | Bandwidth multiplexing method and system based on peak error degree |
CN111327461B (en) * | 2020-01-23 | 2022-03-11 | 华为云计算技术有限公司 | Domain name management method, device, equipment and medium based on CDN system |
CN112953846B (en) * | 2021-02-07 | 2023-04-07 | 上海七牛信息技术有限公司 | Domain name bandwidth cost optimization type delivery method and device and computer equipment |
CN113852570A (en) * | 2021-09-23 | 2021-12-28 | 北京金山云网络技术有限公司 | Method, device and equipment for generating recommended node bandwidth and computer readable medium |
CN114006821B (en) * | 2021-11-02 | 2024-04-02 | 北京金山云网络技术有限公司 | Service range adjusting method and device, electronic equipment and storage medium |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7660296B2 (en) * | 2005-12-30 | 2010-02-09 | Akamai Technologies, Inc. | Reliable, high-throughput, high-performance transport and routing mechanism for arbitrary data flows |
CN101388785B (en) * | 2007-09-11 | 2012-05-23 | 中国电信股份有限公司 | Resource abstract method and service opening method for content distribution network |
CN101534204B (en) * | 2008-03-10 | 2011-08-31 | 中国网通集团宽带业务应用国家工程实验室有限公司 | Streaming media information distribution system and method thereof and user end |
CN101764747B (en) * | 2009-12-24 | 2012-05-02 | 北京云快线软件服务有限公司 | Intelligent dispatching method, device and system of content delivery network flow |
CN101753640B (en) * | 2009-12-28 | 2011-11-30 | 电子科技大学 | Multi-interface fusion method of communication node |
CN101924638A (en) * | 2010-08-31 | 2010-12-22 | 北京云快线软件服务有限公司 | Real-time charging system |
CN102480469B (en) * | 2010-11-29 | 2015-11-25 | 北京中和威软件有限公司 | Based on the method for the load dispatch of balancing energy and device in a kind of SIP service cluster |
CN102523231A (en) * | 2011-12-27 | 2012-06-27 | 北京蓝汛通信技术有限责任公司 | Flow scheduling method based on DNS analysis, apparatus and server thereof |
CN103596066B (en) * | 2013-11-28 | 2017-02-15 | 中国联合网络通信集团有限公司 | Method and device for data processing |
CN103684871A (en) * | 2013-12-25 | 2014-03-26 | 乐视网信息技术(北京)股份有限公司 | Method for monitoring operation and maintenance asset state, method and system for updating operation and maintenance configuration information |
CN107707943B (en) * | 2017-06-29 | 2018-09-18 | 贵州白山云科技有限公司 | A kind of method and system for realizing cloud service fusion |
CN107317889A (en) * | 2017-08-21 | 2017-11-03 | 深圳市视维科技股份有限公司 | A kind of intelligent DNS scheduling system and dispatching method |
-
2018
- 2018-04-28 CN CN201810401421.3A patent/CN108667658B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN108667658A (en) | 2018-10-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108667658B (en) | Bandwidth multiplexing method and device | |
US11153370B2 (en) | Resource scheduling method and system | |
CN107124375B (en) | Off-peak scheduling method, system and server for CDN (content delivery network) network bandwidth resources | |
Xu et al. | A hybrid machine learning model for demand prediction of edge-computing-based bike-sharing system using Internet of Things | |
CN108279974B (en) | Cloud resource allocation method and device | |
CN103647800A (en) | Method and system of recommending application resources | |
CN103024017A (en) | Method for distinguishing important goals and community groups of social network | |
CN107483292B (en) | Dynamic monitoring method for cloud platform | |
CN110191159B (en) | Load adjusting method, system and equipment of resource server | |
CN110636388A (en) | Service request distribution method, system, electronic equipment and storage medium | |
CN106649687A (en) | Method and device for on-line analysis and processing of large data | |
CN104468737A (en) | Storage hierarchical scheduling method and system based on service type characteristics | |
CN115714817A (en) | Dynamic feedback weighted cloud storage resource scheduling method, device and equipment | |
CN108446170A (en) | A kind of DNS thread management methods, device and server based on machine learning | |
CN108900314B (en) | Request number charging method and device for network acceleration service | |
CN107846614B (en) | Video traffic scheduling method and device and electronic equipment | |
CN104486769B (en) | A kind of choosing method and device for being worth cell | |
CN106027673A (en) | Resource pre-push control and training method and device | |
CN109450672A (en) | A kind of method and apparatus of identification bandwidth demand burst | |
CN109660623A (en) | A kind of distribution method, device and the computer readable storage medium of cloud service resource | |
CN113660264B (en) | Data processing method, device, equipment and storage medium | |
CN107147542A (en) | A kind of information generating method and device | |
US9706414B2 (en) | Method and apparatus for determining data flow rate on service access port | |
CN113626186A (en) | Load balancing method and system of server and computer readable storage medium | |
CN103684877B (en) | A kind of method and apparatus choosing infrastructure for Web content service |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |