CN111401708B - CDN manufacturer recommendation method and device - Google Patents

CDN manufacturer recommendation method and device Download PDF

Info

Publication number
CN111401708B
CN111401708B CN202010155686.7A CN202010155686A CN111401708B CN 111401708 B CN111401708 B CN 111401708B CN 202010155686 A CN202010155686 A CN 202010155686A CN 111401708 B CN111401708 B CN 111401708B
Authority
CN
China
Prior art keywords
evaluation
information
cdn
manufacturer
item
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
Application number
CN202010155686.7A
Other languages
Chinese (zh)
Other versions
CN111401708A (en
Inventor
万得胜
马亚彬
邵傲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong Huimao Electronic Port Co Ltd
Original Assignee
Shandong Huimao Electronic Port Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shandong Huimao Electronic Port Co Ltd filed Critical Shandong Huimao Electronic Port Co Ltd
Priority to CN202010155686.7A priority Critical patent/CN111401708B/en
Publication of CN111401708A publication Critical patent/CN111401708A/en
Application granted granted Critical
Publication of CN111401708B publication Critical patent/CN111401708B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004—Server selection for load balancing
    • H04L67/101—Server selection for load balancing based on network conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004—Server selection for load balancing
    • H04L67/1023—Server selection for load balancing based on a hash applied to IP addresses or costs
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/56—Provisioning of proxy services
    • H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching

Abstract

The invention provides a CDN manufacturer recommendation method and device, wherein the method comprises the following steps: setting a plurality of evaluation items, at least two evaluation requirements corresponding to each evaluation item and evaluation values of each evaluation requirement; receiving a plurality of CDN manufacturer information provided by the outside, wherein each CDN manufacturer information comprises a manufacturer identification and a plurality of evaluation information corresponding to an evaluation item respectively; for each piece of evaluation information included in CDN manufacturer information, determining an evaluation item corresponding to the evaluation information, determining an evaluation requirement corresponding to the evaluation item and met by the evaluation information, and recording an evaluation value of the evaluation requirement as a recommendation score of the evaluation information; calculating the sum of the recommendation scores of the evaluation information included in the CDN vendor information to serve as a recommendation score of the vendor identification; and sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence of the recommendation scores from high to low so as to obtain and output sequencing results. The scheme can provide convenience for accurately selecting CDN manufacturers.

Description

CDN manufacturer recommendation method and device
Technical Field
The invention relates to the technical field of computers, in particular to a CDN manufacturer recommendation method and device.
Background
The CDN (Content Delivery Network ) can rely on edge servers deployed in various places, when users access websites, access of the users is directed to a cache server closest to the website, and the cache server directly responds to user requests, so that the users can obtain required content nearby, and network congestion is reduced.
However, with the rapid development of the cloud computing era, especially the arrival of the streaming media large video era, when users use the traditional CDN node resources, the problems of higher time delay, limited scheduling space, relatively closed resources of individual CDN manufacturers and the like exist. Based on this, intelligent fusion CDNs have evolved.
The fusion CDN can break through node resources and scheduling capability of a single CDN manufacturer, break through the limitation of regions, time and different operators, and solve the problems in an actual scene by fusing a plurality of CDN manufacturer resources and combining a powerful intelligent scheduling strategy.
For the converged CDN, the choice of the CDN vendor is critical, so it is necessary to propose a CDN vendor recommendation method.
Disclosure of Invention
The invention provides a CDN manufacturer recommendation method and device, which can provide convenience for accurately selecting CDN manufacturers.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
in a first aspect, the present invention provides a CDN vendor recommendation method, including:
setting at least one evaluation item, at least two evaluation requirements corresponding to each evaluation item and an evaluation value of each evaluation requirement;
receiving at least one CDN manufacturer information provided externally, wherein the CDN manufacturer information comprises a manufacturer identification and at least one evaluation information, each evaluation information in the at least one evaluation information corresponds to an evaluation item, and the evaluation items corresponding to different evaluation information are different;
for any first CDN vendor information in the at least one CDN vendor information, performing, for each piece of evaluation information included in the first CDN vendor information: determining a first evaluation item corresponding to the current evaluation information; determining a target evaluation requirement corresponding to the first evaluation item, wherein the current evaluation information meets the target evaluation requirement; recording the recommendation score of the current evaluation information as an evaluation value of the target evaluation requirement;
calculating the sum of recommendation scores of all the evaluation information included in the first CDN manufacturer information to be used as the recommendation score of the manufacturer identification included in the first CDN manufacturer information;
and sequencing the manufacturer identifiers in the CDN manufacturer information according to the sequence of the recommendation score from high to low to obtain a sequencing result, and outputting the sequencing result.
Further, the sorting the vendor identifiers in the CDN vendor information includes: and sequencing the CDN vendor information so that the recommendation score of the vendor identification in the CDN vendor information sequenced in the front is not smaller than the recommendation score of the vendor identification in the CDN vendor information sequenced in the back.
Further, the method further comprises: calculating a reference value of each evaluation item according to the recommended score of each evaluation information in the sequencing result;
before said outputting said sorting result, further comprising: for each first evaluation information in the ranking result, performing: comparing the first recommendation score of the first evaluation information with a first reference value of an evaluation item corresponding to the first evaluation information;
when the comparison result is that the first recommendation score is larger than the first reference value, first highlighting is performed on the first evaluation information;
and when the comparison result is that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
Further, the calculating the reference value of each evaluation item according to the recommendation score of each evaluation information in the sorting result includes: calculating a reference value of each evaluation item by using a formula I according to the recommended score of each evaluation information in the sequencing result;
the first formula includes:
Figure BDA0002403942120000031
wherein ,
Figure BDA0002403942120000032
when->
Figure BDA0002403942120000033
Time k i When x is =1 i ＜x imax Time->
Figure BDA0002403942120000034
wherein ,yi For a reference value, k, of an ith evaluation item of the at least one evaluation item i N being the coefficient for the i-th evaluation item i X is the total number of the evaluation information corresponding to the ith evaluation item in the sorting result ij A recommendation score, x, for the j-th evaluation information corresponding to the i-th evaluation item in the ranking result imax And (3) the maximum value in the recommendation scores of the assessment information corresponding to the ith assessment item in the sequencing result.
In a second aspect, the present invention provides a CDN vendor recommendation device, including:
the setting unit is used for setting at least one evaluation item, at least two evaluation requirements corresponding to each evaluation item and an evaluation value of each evaluation requirement;
the CDN manufacturer information comprises manufacturer identification and at least one piece of evaluation information, wherein each piece of evaluation information in the at least one piece of evaluation information corresponds to one evaluation item, and evaluation items corresponding to different evaluation information are different;
the processing unit is configured to, for any first CDN vendor information in the at least one CDN vendor information, execute, for each piece of evaluation information included in the first CDN vendor information: determining a first evaluation item corresponding to the current evaluation information; determining a target evaluation requirement corresponding to the first evaluation item, wherein the current evaluation information meets the target evaluation requirement; recording the recommendation score of the current evaluation information as an evaluation value of the target evaluation requirement; calculating the sum of recommendation scores of all the evaluation information included in the first CDN manufacturer information to be used as the recommendation score of the manufacturer identification included in the first CDN manufacturer information;
and the sorting unit is used for sorting the manufacturer identifiers in the CDN manufacturer information according to the sequence of the recommendation scores from high to low so as to obtain a sorting result, and outputting the sorting result.
Further, the sorting unit is configured to sort each piece of CDN vendor information, so that a recommendation score of a vendor identifier in the CDN vendor information that is sorted before is not smaller than a recommendation score of a vendor identifier in the CDN vendor information that is sorted after.
Further, the processing unit is used for calculating a reference value of each evaluation item according to the recommendation score of each evaluation information in the sequencing result;
the sorting unit is configured to perform, for each piece of first evaluation information in the sorting result, before outputting the sorting result: comparing the first recommendation score of the first evaluation information with a first reference value of an evaluation item corresponding to the first evaluation information; when the comparison result is that the first recommendation score is larger than the first reference value, first highlighting is performed on the first evaluation information; and when the comparison result is that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
Further, the processing unit is configured to calculate, according to the recommendation score of each evaluation information in the ranking result, a reference value of each evaluation item by using a formula one;
the first formula includes:
Figure BDA0002403942120000041
wherein ,
Figure BDA0002403942120000042
when->
Figure BDA0002403942120000043
Time k i =1, when->
Figure BDA0002403942120000044
Time->
Figure BDA0002403942120000045
wherein ,yi For a reference value, k, of an ith evaluation item of the at least one evaluation item i N being the coefficient for the i-th evaluation item i X is the total number of the evaluation information corresponding to the ith evaluation item in the sorting result ij A recommendation score, x, for the j-th evaluation information corresponding to the i-th evaluation item in the ranking result imax And (3) the maximum value in the recommendation scores of the assessment information corresponding to the ith assessment item in the sequencing result.
In a third aspect, the present invention provides a CDN vendor recommendation device, including: at least one memory and at least one processor;
the at least one memory for storing a machine readable program;
the at least one processor is configured to invoke the machine readable program to perform the method of any of the first aspects.
In a fourth aspect, the present invention provides a computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform the method of any of the first aspects above.
The invention provides a CDN manufacturer recommendation method and device, wherein the method comprises the following steps: setting a plurality of evaluation items, at least two evaluation requirements corresponding to each evaluation item and evaluation values of each evaluation requirement; receiving a plurality of CDN manufacturer information provided by the outside, wherein each CDN manufacturer information comprises a manufacturer identification and a plurality of evaluation information corresponding to an evaluation item respectively; for each piece of evaluation information included in CDN manufacturer information, determining an evaluation item corresponding to the evaluation information, determining an evaluation requirement corresponding to the evaluation item and met by the evaluation information, and recording an evaluation value of the evaluation requirement as a recommendation score of the evaluation information; calculating the sum of the recommendation scores of the evaluation information included in the CDN vendor information to serve as a recommendation score of the vendor identification; and sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence of the recommendation scores from high to low so as to obtain and output sequencing results. The invention can provide convenience for accurately selecting CDN manufacturers.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a CDN vendor recommendation method according to an embodiment of the present invention;
FIG. 2 is a flowchart of another CDN vendor recommendation method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a CDN vendor recommendation device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making any inventive effort based on the embodiments of the present invention are within the scope of protection of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a CDN vendor recommendation method, which may include the following steps:
step 101: setting at least one evaluation item, at least two evaluation requirements corresponding to each evaluation item and an evaluation value of each evaluation requirement.
Step 102: receiving at least one CDN manufacturer information provided externally, wherein the CDN manufacturer information comprises a manufacturer identification and at least one evaluation information, each evaluation information in the at least one evaluation information corresponds to an evaluation item, and the evaluation items corresponding to different evaluation information are different.
Step 103: for any first CDN vendor information in the at least one CDN vendor information, performing, for each piece of evaluation information included in the first CDN vendor information: determining a first evaluation item corresponding to the current evaluation information; determining a target evaluation requirement corresponding to the first evaluation item, wherein the current evaluation information meets the target evaluation requirement; and recording the recommendation score of the current evaluation information as the evaluation value of the target evaluation requirement.
Step 104: and calculating the sum of the recommendation scores of the evaluation information included in the first CDN vendor information to serve as the recommendation score of the vendor identification included in the first CDN vendor information.
Step 105: and sequencing the manufacturer identifiers in the CDN manufacturer information according to the sequence of the recommendation score from high to low to obtain a sequencing result, and outputting the sequencing result.
The embodiment of the invention provides a CDN manufacturer recommendation method, which comprises the following steps: setting a plurality of evaluation items, at least two evaluation requirements corresponding to each evaluation item and evaluation values of each evaluation requirement; receiving a plurality of CDN manufacturer information provided by the outside, wherein each CDN manufacturer information comprises a manufacturer identification and a plurality of evaluation information corresponding to an evaluation item respectively; for each piece of evaluation information included in CDN manufacturer information, determining an evaluation item corresponding to the evaluation information, determining an evaluation requirement corresponding to the evaluation item and met by the evaluation information, and recording an evaluation value of the evaluation requirement as a recommendation score of the evaluation information; calculating the sum of the recommendation scores of the evaluation information included in the CDN vendor information to serve as a recommendation score of the vendor identification; and sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence of the recommendation scores from high to low so as to obtain and output sequencing results. The embodiment of the invention can provide convenience for accurately selecting CDN manufacturers.
In detail, when an enterprise makes a converged CDN product, it is often necessary to combine some evaluation items to rationally select CDN vendors. Preferably, these evaluation items can cover at least four aspects of node quality, technical standards, service support, and functional coverage. These four aspects are described below.
In detail, for node quality:
the node quality determines how good the CDN quality is. In general, most users' requirements for CDNs are not quantitative resources, but are end-use stability and high performance. The CDN node consists of two parts, namely load balancing equipment, a cache and a dynamic acceleration server. Whether CDN resource allocation is carried out through an intelligent scheduling strategy, so that a user does not feel the use of the CDN resource allocation, or multi-CDN disaster recovery and quick switching are realized under the condition of extreme disasters, the nodes with good quality can carry out resource scheduling more quickly and intelligently, and the user can be ensured to obtain the best CDN service performance in different areas.
In detail, for technical standards:
as many CDN manufacturers, if the technical standards are not uniform enough, the CDN function difference is easily caused. Therefore, when a manufacturer is selected, data such as delay, blocking rate, downloading speed, opening speed, broadband redundancy promotion rate and the like can be paid attention to.
In detail, for service support:
the selection of the service support is also important, and the highest cost performance mode is selected under the comprehensive comparison of the price, the technical index and the service mode. After the performance of the system is guaranteed, the monitoring level of the platform, the DNS scheduling capability, the flexibility and the expandability of the system of the platform are all concerned by the prior investigation.
In detail, for functional coverage:
the key point of the fusion CDN is to fuse a plurality of CDN manufacturers to provide unified services to the outside, so that the requirements of a plurality of clients are met as much as possible, and the key point of selection is that the functions of the plurality of manufacturers are low in overlap ratio, high in quality and wide in coverage.
Based on the above, for example, the preset evaluation items may be part or all of bandwidth capacity, service stability, cost, node number, access success rate, disaster recovery capability, link monitoring capability, delay, blocking rate, downloading speed, opening speed, broadband redundancy promotion rate, functional coverage, and functional overlap ratio, which can be provided by CDN manufacturers. The CDN manufacturer can form the evaluation information according to the corresponding specific conditions of the evaluation items.
Based on the evaluation items provided by the enterprise server, the CDN vendor may generate CDN vendor information according to its actual situation, where the CDN vendor information may typically include a vendor identification and several evaluation information, and send the vendor identification and several evaluation information to the enterprise server. The vendor identification is used to uniquely distinguish each CDN vendor. Generally, the CDN vendor information may include evaluation information corresponding to each evaluation item. After receiving the CDN vendor information, the enterprise server can evaluate the summarized CDN vendor information according to a preset evaluation rule.
In order to perform reasonable evaluation on the evaluation information, a plurality of evaluation requirements of each evaluation item can be preset, and any piece of evaluation information can generally meet a certain evaluation requirement corresponding to the corresponding evaluation item. In addition, the evaluation value of each evaluation requirement can be reasonably set according to the importance degree of each evaluation item on the fusion CDN product and the specific content of different evaluation requirements of the same evaluation item. For example, the setting contents in step 101 may be as shown in table 1 below.
TABLE 1
Figure BDA0002403942120000081
The CDN manufacturer information can basically reflect the actual situation of CDN manufacturers, and after the CDN manufacturer information is evaluated according to the preset evaluation requirement, the evaluation result can be used as an important basis for enterprises to reasonably select CDN manufacturers. Generally, the more preferable a CDN vendor is, the higher the recommendation score of that CDN vendor in the evaluation result, so that the enterprise personnel may take precedence and focus on those CDN vendors that are ranked first.
In general, the enterprise server may output the obtained sorting result to the client, so as to facilitate the enterprise personnel to check the specific sorting situation. Of course, in other cases, the enterprise server may also output the ranking results to a particular mailbox, to a particular memory, and so on.
In summary, the CDN manufacturer recommendation method provided by the embodiment of the invention can help enterprise personnel reasonably and accurately select CDN manufacturers. In addition, since enterprise personnel do not need to carry out manual evaluation on each CDN manufacturer respectively, the labor investment is greatly reduced, and the improvement of the selection efficiency of the CDN manufacturer is facilitated.
In the embodiment of the invention, the assessment of CDN manufacturers can involve a plurality of assessment items preset according to the need, and the assessment items at least can cover four aspects of node quality, technical standards, service support and functional coverage, so that the manufacturers select the standards, comprehensively and blindly, thereby avoiding fund waste, improving the quality of the fused CDN products, ensuring the reliability and controllability of the product service and ensuring the user experience.
In one embodiment of the present invention, the sorting the vendor identifiers in the respective CDN vendor information includes: and sequencing the CDN vendor information so that the recommendation score of the vendor identification in the CDN vendor information sequenced in the front is not smaller than the recommendation score of the vendor identification in the CDN vendor information sequenced in the back.
In the embodiment of the invention, when the manufacturer identifications are sequenced according to the high-low order of the recommendation scores, the method can be realized by sequencing the information of the CDN manufacturers. Therefore, when the enterprise personnel check the sorting result, the CDN manufacturer interested in the enterprise personnel can also directly check the manufacturer information of the CDN manufacturer, so that the CDN manufacturer can be intuitively, quickly and comprehensively understood, and convenience is brought to the reasonable selection of the CDN manufacturer by the enterprise personnel.
Based on the foregoing, in one embodiment of the present invention, the method may further include: calculating a reference value of each evaluation item according to the recommended score of each evaluation information in the sequencing result;
before said outputting said sorting result, further comprising: for each first evaluation information in the ranking result, performing: comparing the first recommendation score of the first evaluation information with a first reference value of an evaluation item corresponding to the first evaluation information;
when the comparison result is that the first recommendation score is larger than the first reference value, first highlighting is performed on the first evaluation information;
and when the comparison result is that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
In the embodiment of the invention, for any evaluation item, the benchmark value of the evaluation item can be calculated according to the recommendation score of the evaluation information corresponding to the evaluation item in the information of each CDN manufacturer. And further, whether each evaluation information is a dominant item or a disadvantaged item with respect to each other can be highlighted based on the comparison of the benchmark score with the recommendation score.
Based on the distinguishing highlighting of the evaluation information, the method can be convenient for enterprise personnel to intuitively and rapidly know the advantages and disadvantages of each CDN manufacturer when checking the sorting result, and provides convenience for the enterprise personnel to reasonably select the CDN manufacturer.
Based on the above, in one embodiment of the present invention, the calculating the reference value of each evaluation item according to the recommendation score of each evaluation information in the ranking result includes: calculating a reference value of each evaluation item by using a formula I according to the recommended score of each evaluation information in the sequencing result;
the first formula includes:
Figure BDA0002403942120000101
wherein ,
Figure BDA0002403942120000102
when->
Figure BDA0002403942120000103
Time k i =1, when->
Figure BDA0002403942120000104
Time->
Figure BDA0002403942120000105
wherein ,yi For the ith evaluation in the at least one evaluation itemReference value k of estimation term i N being the coefficient for the i-th evaluation item i X is the total number of the evaluation information corresponding to the ith evaluation item in the sorting result ij A recommendation score, x, for the j-th evaluation information corresponding to the i-th evaluation item in the ranking result imax And (3) the maximum value in the recommendation scores of the assessment information corresponding to the ith assessment item in the sequencing result.
In summary, the embodiment of the invention provides the implementation method for the fusion CDN scientific selection manufacturer, which can solve the problem of difficult manufacturer selection in the process of manufacturing the fusion CDN product by enterprises.
Based on the foregoing, as shown in fig. 2, the embodiment of the present invention provides another CDN vendor recommendation method, which may include the following steps:
step 201: setting at least one evaluation item, at least two evaluation requirements corresponding to each evaluation item and an evaluation value of each evaluation requirement.
Step 202: receiving at least one CDN manufacturer information provided externally, wherein the CDN manufacturer information comprises a manufacturer identification and at least one evaluation information, each evaluation information in the at least one evaluation information corresponds to an evaluation item, and the evaluation items corresponding to different evaluation information are different.
Step 203: for any first CDN vendor information in the at least one CDN vendor information, performing, for each piece of evaluation information included in the first CDN vendor information: determining a first evaluation item corresponding to the current evaluation information; determining a target evaluation requirement corresponding to the first evaluation item, wherein the current evaluation information meets the target evaluation requirement; and recording the recommendation score of the current evaluation information as an evaluation value of the target evaluation requirement.
Step 204: and calculating the sum of the recommended scores of the evaluation information included in the first CDN vendor information to serve as the recommended score of the vendor identification included in the first CDN vendor information.
Step 205: and sequencing the CDN vendor information according to the sequence of the recommendation scores from high to low, so that the recommendation score of the vendor identification in the CDN vendor information sequenced in front is not smaller than the recommendation score of the vendor identification in the CDN vendor information sequenced in back, and a sequencing result is obtained.
Step 206: and calculating the reference value of each evaluation item according to the recommendation score of each evaluation information in the sequencing result.
In detail, the reference value may be calculated using the above formula one.
Step 207: for each first evaluation information in the ranking result, performing: comparing the first recommendation score of the first evaluation information with a first reference value of an evaluation item corresponding to the first evaluation information; when the comparison result is that the first recommendation score is larger than the first reference value, first highlighting is performed on the first evaluation information; and when the comparison result is that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
Step 208: and outputting the sequencing result to a display.
As shown in fig. 3, an embodiment of the present invention provides a CDN vendor recommendation device, which may include:
a setting unit 301, configured to set at least one evaluation item, at least two evaluation requirements corresponding to each evaluation item, and an evaluation value of each evaluation requirement;
the interaction unit 302 is configured to receive at least one CDN vendor information provided externally, where the CDN vendor information includes a vendor identifier and at least one evaluation information, each of the at least one evaluation information corresponds to an evaluation item, and evaluation items corresponding to different evaluation information are different;
the processing unit 303 is configured to, for any first CDN vendor information in the at least one CDN vendor information, perform, for each piece of evaluation information included in the first CDN vendor information: determining a first evaluation item corresponding to the current evaluation information; determining a target evaluation requirement corresponding to the first evaluation item, wherein the current evaluation information meets the target evaluation requirement; recording the recommendation score of the current evaluation information as an evaluation value of the target evaluation requirement; calculating the sum of recommendation scores of all the evaluation information included in the first CDN manufacturer information to be used as the recommendation score of the manufacturer identification included in the first CDN manufacturer information;
and the sorting unit 304 is configured to sort vendor identifiers in the CDN vendor information according to the order of the recommendation scores from high to low, so as to obtain a sorting result, and output the sorting result.
In one embodiment of the present invention, the sorting unit 304 is configured to sort each piece of CDN vendor information, so that a recommendation score of a vendor identifier in the CDN vendor information that is sorted before is not smaller than a recommendation score of a vendor identifier in the CDN vendor information that is sorted after.
In one embodiment of the present invention, the processing unit 303 is configured to calculate a reference value of each evaluation item according to a recommendation score of each evaluation information in the ranking result;
the sorting unit 304 is configured to perform, before outputting the sorting result, for each piece of first evaluation information in the sorting result: comparing the first recommendation score of the first evaluation information with a first reference value of an evaluation item corresponding to the first evaluation information; when the comparison result is that the first recommendation score is larger than the first reference value, first highlighting is performed on the first evaluation information; and when the comparison result is that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
In one embodiment of the present invention, the processing unit 303 is configured to calculate the reference value of each evaluation item according to the recommendation score of each evaluation information in the ranking result by using the formula one.
The content of information interaction and execution process between the units in the device is based on the same conception as the embodiment of the method of the present invention, and specific content can be referred to the description in the embodiment of the method of the present invention, which is not repeated here.
Embodiments of the present invention also provide a computer-readable medium storing instructions for causing a computer to perform a CDN vendor recommendation method as described herein. Specifically, a system or apparatus provided with a storage medium on which a software program code realizing the functions of any of the above embodiments is stored, and a computer (or CPU or MPU) of the system or apparatus may be caused to read out and execute the program code stored in the storage medium.
In this case, the program code itself read from the storage medium may realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code form part of the present invention.
Examples of the storage medium for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer by a communication network.
Further, it should be apparent that the functions of any of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform part or all of the actual operations based on the instructions of the program code.
Further, it is understood that the program code read out by the storage medium is written into a memory provided in an expansion board inserted into a computer or into a memory provided in an expansion unit connected to the computer, and then a CPU or the like mounted on the expansion board or the expansion unit is caused to perform part and all of actual operations based on instructions of the program code, thereby realizing the functions of any of the above embodiments.
In summary, the embodiments of the present invention have at least the following advantages:
1. the embodiment of the invention provides a CDN manufacturer recommendation method, which comprises the following steps: setting a plurality of evaluation items, at least two evaluation requirements corresponding to each evaluation item and evaluation values of each evaluation requirement; receiving a plurality of CDN manufacturer information provided by the outside, wherein each CDN manufacturer information comprises a manufacturer identification and a plurality of evaluation information corresponding to an evaluation item respectively; for each piece of evaluation information included in CDN manufacturer information, determining an evaluation item corresponding to the evaluation information, determining an evaluation requirement corresponding to the evaluation item and met by the evaluation information, and recording an evaluation value of the evaluation requirement as a recommendation score of the evaluation information; calculating the sum of the recommendation scores of the evaluation information included in the CDN vendor information to serve as a recommendation score of the vendor identification; and sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence of the recommendation scores from high to low so as to obtain and output sequencing results. The embodiment of the invention can provide convenience for accurately selecting CDN manufacturers.
2. In the embodiment of the invention, the assessment of CDN manufacturers can involve a plurality of assessment items preset according to the need, and the assessment items at least can cover four aspects of node quality, technical standards, service support and functional coverage, so that the manufacturers select the standards, comprehensively and blindly, thereby avoiding fund waste, improving the quality of the fused CDN products, ensuring the reliability and controllability of the product service and ensuring the user experience.
3. The embodiment of the invention provides a realization method for scientifically selecting manufacturers by a fusion CDN, which can solve the problem of difficult manufacturer selection when enterprises make fusion CDN products.
It should be noted that not all the steps and modules in the above flowcharts and the system configuration diagrams are necessary, and some steps or modules may be omitted according to actual needs. The execution sequence of the steps is not fixed and can be adjusted as required. The system structure described in the above embodiments may be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by multiple physical entities, or may be implemented jointly by some components in multiple independent devices.
In the above embodiments, the hardware unit may be mechanically or electrically implemented. For example, a hardware unit may include permanently dedicated circuitry or logic (e.g., a dedicated processor, FPGA, or ASIC) to perform the corresponding operations. The hardware unit may also include programmable logic or circuitry (e.g., a general-purpose processor or other programmable processor) that may be temporarily configured by software to perform the corresponding operations. The particular implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
It is noted that relational terms such as first and second, and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of additional identical elements in a process, method, article or apparatus that comprises the element.
While the invention has been illustrated and described in detail in the drawings and in the preferred embodiments, the invention is not limited to the disclosed embodiments, and it will be appreciated by those skilled in the art that the code audits of the various embodiments described above may be combined to produce further embodiments of the invention, which are also within the scope of the invention.

Claims (6)

1. The content delivery network CDN manufacturer recommending method is characterized by comprising the following steps:
setting at least one evaluation item, at least two evaluation requirements corresponding to each evaluation item and an evaluation value of each evaluation requirement;
receiving at least one CDN manufacturer information provided externally, wherein the CDN manufacturer information comprises a manufacturer identification and at least one evaluation information, each evaluation information in the at least one evaluation information corresponds to an evaluation item, and the evaluation items corresponding to different evaluation information are different;
for any first CDN vendor information in the at least one CDN vendor information, performing, for each piece of evaluation information included in the first CDN vendor information: determining a first evaluation item corresponding to the current evaluation information; determining a target evaluation requirement corresponding to the first evaluation item, wherein the current evaluation information meets the target evaluation requirement; recording the recommendation score of the current evaluation information as an evaluation value of the target evaluation requirement;
calculating the sum of recommendation scores of all the evaluation information included in the first CDN manufacturer information to be used as the recommendation score of the manufacturer identification included in the first CDN manufacturer information;
sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence from high to low of the recommendation scores of the manufacturer identifications included in the CDN manufacturer information to obtain sequencing results, and outputting the sequencing results;
the sorting the vendor identifiers in the vendor information of each CDN includes: sequencing the CDN vendor information so that the recommendation score of the vendor identification in the sequenced CDN vendor information is not smaller than the recommendation score of the vendor identification in the sequenced CDN vendor information;
further comprises: calculating a reference value of each evaluation item according to the recommended score of each evaluation information in the sequencing result;
before said outputting said sorting result, further comprising: for each first evaluation information in the ranking result, performing: comparing the first recommendation score of the first evaluation information with a first reference value of an evaluation item corresponding to the first evaluation information;
when the comparison result is that the first recommendation score is larger than the first reference value, first highlighting is performed on the first evaluation information;
and when the comparison result is that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the calculating the reference value of each evaluation item according to the recommendation score of each evaluation information in the sorting result comprises the following steps: calculating a reference value of each evaluation item by using a formula I according to the recommended score of each evaluation information in the sequencing result;
the first formula includes:
Figure QLYQS_1
wherein ,
Figure QLYQS_2
when->
Figure QLYQS_3
Time k i =1, when->
Figure QLYQS_4
Time->
Figure QLYQS_5
wherein ,yi For a reference value, k, of an ith evaluation item of the at least one evaluation item i N being the coefficient for the i-th evaluation item i X is the total number of the evaluation information corresponding to the ith evaluation item in the sorting result ij A recommendation score, x, for the j-th evaluation information corresponding to the i-th evaluation item in the ranking result imax And (3) the maximum value in the recommendation scores of the assessment information corresponding to the ith assessment item in the sequencing result.
3. The content delivery network CDN manufacturer recommending device is characterized by comprising:
the setting unit is used for setting at least one evaluation item, at least two evaluation requirements corresponding to each evaluation item and an evaluation value of each evaluation requirement;
the CDN manufacturer information comprises manufacturer identification and at least one piece of evaluation information, wherein each piece of evaluation information in the at least one piece of evaluation information corresponds to one evaluation item, and evaluation items corresponding to different evaluation information are different;
the processing unit is configured to, for any first CDN vendor information in the at least one CDN vendor information, execute, for each piece of evaluation information included in the first CDN vendor information: determining a first evaluation item corresponding to the current evaluation information; determining a target evaluation requirement corresponding to the first evaluation item, wherein the current evaluation information meets the target evaluation requirement; recording the recommendation score of the current evaluation information as an evaluation value of the target evaluation requirement; calculating the sum of recommendation scores of all the evaluation information included in the first CDN manufacturer information to be used as the recommendation score of the manufacturer identification included in the first CDN manufacturer information;
the ordering unit is used for ordering the manufacturer identifications in the CDN manufacturer information according to the sequence from high to low of the recommendation scores of the manufacturer identifications included in the CDN manufacturer information so as to obtain ordering results, and outputting the ordering results;
the sorting unit is configured to sort each piece of CDN vendor information, so that a recommendation score of vendor identifiers in the CDN vendor information that is sorted before is not smaller than a recommendation score of vendor identifiers in the CDN vendor information that is sorted after;
the processing unit is used for calculating the reference value of each evaluation item according to the recommendation score of each evaluation information in the sequencing result;
the sorting unit is configured to perform, for each piece of first evaluation information in the sorting result, before outputting the sorting result: comparing the first recommendation score of the first evaluation information with a first reference value of an evaluation item corresponding to the first evaluation information; when the comparison result is that the first recommendation score is larger than the first reference value, first highlighting is performed on the first evaluation information; and when the comparison result is that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
4. The CDN vendor recommendation device of claim 3, wherein,
the processing unit is used for calculating the reference value of each evaluation item by utilizing a formula I according to the recommended score of each evaluation information in the sequencing result;
the first formula includes:
Figure QLYQS_6
wherein ,
Figure QLYQS_7
when->
Figure QLYQS_8
Time k i =1, when->
Figure QLYQS_9
Time->
Figure QLYQS_10
wherein ,yi For a reference value, k, of an ith evaluation item of the at least one evaluation item i N being the coefficient for the i-th evaluation item i X is the total number of the evaluation information corresponding to the ith evaluation item in the sorting result ij A recommendation score, x, for the j-th evaluation information corresponding to the i-th evaluation item in the ranking result imax And (3) the maximum value in the recommendation scores of the assessment information corresponding to the ith assessment item in the sequencing result.
Cdn vendor recommendation device comprising: at least one memory and at least one processor;
the at least one memory for storing a machine readable program;
the at least one processor configured to invoke the machine readable program to perform the method of claim 1.
6. A computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform the method of claim 1.
CN202010155686.7A 2020-03-09 2020-03-09 CDN manufacturer recommendation method and device Active CN111401708B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010155686.7A CN111401708B (en) 2020-03-09 2020-03-09 CDN manufacturer recommendation method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010155686.7A CN111401708B (en) 2020-03-09 2020-03-09 CDN manufacturer recommendation method and device

Publications (2)

Publication Number Publication Date
CN111401708A CN111401708A (en) 2020-07-10
CN111401708B true CN111401708B (en) 2023-06-20

Family

ID=71430686

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010155686.7A Active CN111401708B (en) 2020-03-09 2020-03-09 CDN manufacturer recommendation method and device

Country Status (1)

Country Link
CN (1) CN111401708B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8521880B1 (en) * 2008-11-17 2013-08-27 Amazon Technologies, Inc. Managing content delivery network service providers
CN104572851A (en) * 2014-12-16 2015-04-29 北京百度网讯科技有限公司 Method and device for acquiring recommend information
CN108270828A (en) * 2016-12-30 2018-07-10 北京国双科技有限公司 A kind of content distribution network system recommends method and device
CN109802926A (en) * 2017-11-16 2019-05-24 乐蜜有限公司 Recommended models method for building up, live broadcasting method and the device of content distributing network
CN110401552A (en) * 2018-04-24 2019-11-01 贵州白山云科技股份有限公司 A kind of CDN business automated tuning method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8521880B1 (en) * 2008-11-17 2013-08-27 Amazon Technologies, Inc. Managing content delivery network service providers
CN104572851A (en) * 2014-12-16 2015-04-29 北京百度网讯科技有限公司 Method and device for acquiring recommend information
CN108270828A (en) * 2016-12-30 2018-07-10 北京国双科技有限公司 A kind of content distribution network system recommends method and device
CN109802926A (en) * 2017-11-16 2019-05-24 乐蜜有限公司 Recommended models method for building up, live broadcasting method and the device of content distributing network
CN110401552A (en) * 2018-04-24 2019-11-01 贵州白山云科技股份有限公司 A kind of CDN business automated tuning method and device

Also Published As

Publication number Publication date
CN111401708A (en) 2020-07-10

Similar Documents

Publication Publication Date Title
US10958524B2 (en) Method for generating network slice template and for applying network slice template, and apparatus
CN108039975B (en) Container cluster management system and application method thereof
Conner et al. A trust management framework for service-oriented environments
US20060156307A1 (en) Method and system for prioritizing tasks made available by devices in a network
CN111327647B (en) Method and device for providing service to outside by container and electronic equipment
JP2002245017A (en) Apparatus and method for specifying requested service level for transaction
WO2011008145A1 (en) Providing content by using a social network
CN107786992B (en) Method and device for detecting quality of mobile communication network
CN109120794B (en) message display method and device and electronic equipment
JP5173856B2 (en) Content recommendation device and content recommendation method
CN110830551B (en) Service request processing method, device and system
CN107172214A (en) A kind of service node with load balancing finds method and device
CN110650209A (en) Method and device for realizing load balance
CN112328865B (en) Information processing and recommending method, device, equipment and storage medium
CN108600780A (en) Method for pushed information
WO2017077521A1 (en) A data augmentation pipeline for augmenting events and/or data associated with events
CN111401708B (en) CDN manufacturer recommendation method and device
CN110677683B (en) Video storage and video access method and distributed storage and video access system
CN110213365B (en) User access request processing method based on user partition and electronic equipment
CN109582829B (en) Processing method, device, equipment and readable storage medium
US20140115632A1 (en) Content management apparatus, content management method, program, and content display method
CN112511868B (en) Video playing method and device, electronic equipment and computer storage medium
CN110245198B (en) Multi-source ticketing data management method and system, server and computer readable medium
US20140280804A1 (en) Relationship driven dynamic workflow system
EP3321879A1 (en) Article inspection and examination system and method

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