CN111401708A - CDN manufacturer recommendation method and device - Google Patents

CDN manufacturer recommendation method and device Download PDF

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Publication number
CN111401708A
CN111401708A CN202010155686.7A CN202010155686A CN111401708A CN 111401708 A CN111401708 A CN 111401708A CN 202010155686 A CN202010155686 A CN 202010155686A CN 111401708 A CN111401708 A CN 111401708A
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evaluation
information
cdn
recommendation
manufacturer
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CN111401708B (en
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万得胜
马亚彬
邵傲
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Shandong Huimao Electronic Port Co Ltd
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Shandong Huimao Electronic Port Co Ltd
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    • 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 an evaluation value of each evaluation requirement; receiving a plurality of CDN manufacturer information provided by the outside, wherein each CDN manufacturer information comprises a manufacturer identifier and a plurality of evaluation information corresponding to an evaluation item; aiming at each 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 accorded with the evaluation information, and recording an evaluation value of the evaluation requirement as a recommendation score of the evaluation information; calculating the sum of recommendation scores of each piece of evaluation information included in the CDN vendor information to serve as the recommendation score of the vendor identifier; and sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence of the recommendation scores from high to low to obtain and output a sequencing result. 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
A CDN (Content Delivery Network) can rely on edge servers deployed in various places, and when a user accesses a website, the user access is directed to a cache server closest to the user, and the cache server directly responds to a user request, so that the user can obtain a desired Content nearby, thereby reducing Network congestion.
However, with the rapid development of the cloud computing era, especially with the arrival of the streaming media large video era, when a user uses traditional CDN node resources, the problems of higher time delay, limited scheduling space, relatively closed resources of a single CDN manufacturer, and the like exist. Based on this, intelligent integration CDN produced by the company.
The fused CDN can break through node resources and scheduling capability of a single CDN manufacturer, breaks through the limits of regions, time and different operators, and solves the problems in an actual scene by fusing multiple CDN manufacturer resources and combining a strong intelligent scheduling strategy.
For the converged CDN, the selection of the CDN manufacturer is very important, so it is necessary to provide a CDN manufacturer 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 purpose, the invention is realized by the following technical scheme:
in a first aspect, the present invention provides a CDN manufacturer 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 piece of CDN vendor information provided from the outside, wherein the CDN vendor information comprises a vendor identifier and at least one piece of evaluation information, each piece of evaluation information in the at least one piece of evaluation information corresponds to an evaluation item, and the evaluation items corresponding to different pieces of evaluation information are different;
for any first CDN vendor information in the at least one CDN vendor information, executing, 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 conforms to the target evaluation requirement; recording the evaluation value of the recommended score of the current evaluation information as the target evaluation requirement;
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 identifier included in the first CDN vendor information;
and sequencing the manufacturer identifications 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: sequencing each CDN manufacturer information to enable the recommendation score of the manufacturer identifier in the CDN manufacturer information sequenced in the front to be not less than the recommendation score of the manufacturer identifier in the CDN manufacturer information sequenced in the back.
Further, the method further comprises: calculating a reference value of each evaluation item according to the recommendation score of each evaluation information in the sequencing result;
before the outputting the 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 shows that the first recommendation score is larger than the first reference value, the first evaluation information is highlighted;
and when the comparison result shows that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
Further, the calculating a 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 recommendation score of each evaluation information in the sequencing result;
the first formula comprises:
Figure BDA0002403942120000031
wherein ,
Figure BDA0002403942120000032
when in use
Figure BDA0002403942120000033
Time kiWhen x is 1i＜ximaxTime of flight
Figure BDA0002403942120000034
wherein ,yiIs the reference value, k, of the i-th evaluation item of the at least one evaluation itemiAs coefficients for the i-th evaluation term, niThe total number, x, of the evaluation information corresponding to the ith evaluation item in the sorting resultijA recommendation score, x, for the jth evaluation information corresponding to the ith evaluation item in the ranking resultimaxThe maximum value of the recommendation scores of the evaluation information corresponding to the ith evaluation item in the sorting result.
In a second aspect, the present invention provides a CDN manufacturer recommendation apparatus, including:
the device comprises a setting unit, a judging unit and a judging unit, wherein 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 interaction unit is used for receiving at least one piece of CDN vendor information provided from the outside, wherein the CDN vendor information comprises a vendor identifier and at least one piece of evaluation information, each piece of evaluation information in the at least one piece of evaluation information corresponds to an evaluation item, and the evaluation items corresponding to different pieces of evaluation information are different;
a processing unit, configured to execute, for any first CDN vendor information in the at least one CDN vendor information, 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 conforms to the target evaluation requirement; recording the evaluation value of the recommended score of the current evaluation information as the target evaluation requirement; 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 identifier included in the first CDN vendor information;
and the sequencing unit is used for sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence of the recommendation scores from high to low to obtain a sequencing result and outputting the sequencing result.
Further, the sorting unit is configured to sort the CDN vendor information, so that a recommendation score of a vendor identifier in the CDN vendor information sorted in the front is not less than a recommendation score of a vendor identifier in the CDN vendor information sorted in the back.
Further, the processing unit is configured to calculate a reference value of each of the evaluation items according to the recommendation score of each of the evaluation information in the ranking result;
the sorting unit is configured to, before outputting the sorting result, perform, 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 shows that the first recommendation score is larger than the first reference value, the first evaluation information is highlighted; and when the comparison result shows 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 a reference value of each evaluation item according to the recommendation score of each evaluation information in the ranking result by using a formula one;
the first formula comprises:
Figure BDA0002403942120000041
wherein ,
Figure BDA0002403942120000042
when in use
Figure BDA0002403942120000043
Time kiWhen 1 is equal to
Figure BDA0002403942120000044
Time of flight
Figure BDA0002403942120000045
wherein ,yiIs the reference value, k, of the i-th evaluation item of the at least one evaluation itemiAs coefficients for the i-th evaluation term, niThe total number, x, of the evaluation information corresponding to the ith evaluation item in the sorting resultijA recommendation score, x, for the jth evaluation information corresponding to the ith evaluation item in the ranking resultimaxThe maximum value of the recommendation scores of the evaluation information corresponding to the ith evaluation item in the sorting 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 to store 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 above 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 an evaluation value of each evaluation requirement; receiving a plurality of CDN manufacturer information provided by the outside, wherein each CDN manufacturer information comprises a manufacturer identifier and a plurality of evaluation information corresponding to an evaluation item; aiming at each 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 accorded with the evaluation information, and recording an evaluation value of the evaluation requirement as a recommendation score of the evaluation information; calculating the sum of recommendation scores of each piece of evaluation information included in the CDN vendor information to serve as the recommendation score of the vendor identifier; and sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence of the recommendation scores from high to low to obtain and output a sequencing result. The invention can provide convenience for accurately selecting CDN manufacturers.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
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
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer and more complete, the technical solutions in the embodiments of the present invention will be 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, and based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the scope 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 piece of CDN vendor information provided from the outside, wherein the CDN vendor information comprises a vendor identifier and at least one piece of evaluation information, each piece of evaluation information in the at least one piece of evaluation information corresponds to an evaluation item, and the evaluation items corresponding to different pieces of evaluation information are different.
Step 103: for any first CDN vendor information in the at least one CDN vendor information, executing, 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 conforms to the target evaluation requirement; and recording the evaluation value required by the target evaluation as the recommended score of the current evaluation information.
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 identifier included in the first CDN vendor information.
Step 105: and sequencing the manufacturer identifications 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 an evaluation value of each evaluation requirement; receiving a plurality of CDN manufacturer information provided by the outside, wherein each CDN manufacturer information comprises a manufacturer identifier and a plurality of evaluation information corresponding to an evaluation item; aiming at each 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 accorded with the evaluation information, and recording an evaluation value of the evaluation requirement as a recommendation score of the evaluation information; calculating the sum of recommendation scores of each piece of evaluation information included in the CDN vendor information to serve as the recommendation score of the vendor identifier; and sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence of the recommendation scores from high to low to obtain and output a sequencing result. The embodiment of the invention can provide convenience for accurately selecting CDN manufacturers.
In detail, when an enterprise fuses CDN products, some evaluation items are usually needed to reasonably select CDN vendors. Preferably, the evaluation items at least can cover the four aspects of node quality, technical standard, service support and function coverage. These four points will be described separately below.
In detail, for node quality:
the quality of the node determines the quality of the CDN. Typically, the CDN requirements of most users are not a quantity of resources, but rather stability and high performance in end use. The CDN node consists of two parts, namely a load balancing device, a cache and a dynamic acceleration server. No matter CDN resource allocation is carried out through an intelligent scheduling strategy, so that a user cannot use the CDN resources without perception, or multi-CDN disaster recovery and rapid switching are realized under the extreme disaster condition, and a node with good quality can carry out resource scheduling more rapidly and intelligently so as to ensure that the user obtains the optimal CDN service performance in different areas.
In detail, for technical standards:
because CDN manufacturers are numerous, if the technical standards are not uniform enough, the difference of CDN functions is easily large. Therefore, when choosing the manufacturer, the data such as delay, pause rate, download speed, opening speed, broadband redundancy promotion rate, etc. can be emphasized.
In detail, for service support:
the selection of service support is also important, and the highest cost performance mode is selected under the comprehensive comparison of price, technical indexes and service modes. After the performance is guaranteed, the monitoring level of the platform, the DNS scheduling capability, and the flexibility and the expandability of the system of the platform all need to be concerned by previous research.
In detail, for functional coverage:
the key point of the converged CDN is that a plurality of CDN manufacturers are converged to provide unified service for the outside, the requirement of meeting the requirement of a plurality of customers as much as possible is required, and the key point of selection at the moment can be that the function coincidence degree of the plurality of manufacturers is low, the quality is high, and the coverage is wide.
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, stuck rate, download speed, open speed, bandwidth redundancy improvement rate, function coverage, function overlap ratio, and the like that can be provided by the CDN manufacturer. The evaluation information can be formed by the corresponding specific conditions of the CDN manufacturers on the evaluation items.
According to the evaluation items provided by the enterprise server, the CDN manufacturer can generate CDN manufacturer information according to its actual situation, where the CDN manufacturer information may generally include a manufacturer identifier and several pieces of evaluation information, and send the information to the enterprise server. The vendor identification is used to uniquely distinguish each CDN vendor. In general, the CDN vendor information may include evaluation information corresponding to each evaluation item. After receiving the information of the CDN manufacturers, the enterprise server can evaluate the summarized information of each CDN manufacturer according to a preset evaluation rule.
In order to reasonably evaluate the evaluation information, a plurality of evaluation requirements of each evaluation item can be preset, and any evaluation information can usually meet a certain evaluation requirement corresponding to the corresponding evaluation item. In addition, the evaluation value of each evaluation requirement can be reasonably set as required according to the importance degree of each evaluation item on the fused 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
Because the CDN manufacturer information can basically reflect the actual situation of CDN manufacturers, after the information of each CDN manufacturer is evaluated according to the preset evaluation requirements, the evaluation result can be used as an important basis for enterprises to reasonably select CDN manufacturers. Generally, the more preferred which CDN vendor is, the higher the recommendation score of the CDN vendor in the evaluation result, so that business personnel can give priority to and give priority to those CDN vendors ranked ahead.
In general, the enterprise server may output the obtained ranking result to the client, so as to facilitate enterprise personnel to view the specific ranking condition. Of course, in other cases, the enterprise server may also output the ranking results to a particular mailbox, a particular memory, and so on.
In summary, the CDN manufacturer recommendation method provided by the embodiment of the present invention may help enterprise personnel to reasonably and accurately select a CDN manufacturer. In addition, enterprise personnel do not need to perform manual evaluation on each CDN manufacturer, so that the labor investment is greatly reduced, and the selection efficiency of the CDN manufacturers is improved.
In the embodiment of the invention, the evaluation of the CDN manufacturer can involve a plurality of evaluation items preset as required, and the evaluation items can at least cover the four aspects of node quality, technical standard, service support and function coverage, so that the manufacturer can select the standard, comprehensive and blind, thereby avoiding fund waste, improving the quality of the fused CDN product, ensuring the reliability and controllability of product service and ensuring user experience.
In an embodiment of the present invention, the sorting the vendor identifiers in the CDN vendor information includes: sequencing each CDN manufacturer information to enable the recommendation score of the manufacturer identifier in the CDN manufacturer information sequenced in the front to be not less than the recommendation score of the manufacturer identifier in the CDN manufacturer information sequenced in the back.
In the embodiment of the invention, when sequencing the manufacturer identifications according to the high-low order of the recommendation score, the sequencing can be realized by sequencing the information of each CDN manufacturer. Therefore, when the enterprise personnel check the sequencing result, the interested CDN manufacturers can directly check the information of the manufacturers so as to visually, quickly and comprehensively know the CDN manufacturers, thereby providing convenience for the enterprise personnel to reasonably select the CDN manufacturers.
Based on the above, in an embodiment of the present invention, the method may further include: calculating a reference value of each evaluation item according to the recommendation score of each evaluation information in the sequencing result;
before the outputting the 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 shows that the first recommendation score is larger than the first reference value, the first evaluation information is highlighted;
and when the comparison result shows 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 present invention, for any evaluation item, the reference value of the evaluation item may be calculated according to the recommendation score of the evaluation information corresponding to the evaluation item in each piece of CDN vendor information. And then whether each piece of evaluation information is a dominant item or a subordinate item can be highlighted based on the comparison between the reference value and the recommendation score.
Based on the distinctive highlighting of the evaluation information, when enterprise personnel check the sequencing result, the advantage and disadvantage of each CDN manufacturer can be conveniently and visually and rapidly known, and convenience is provided for the enterprise personnel to reasonably select the CDN manufacturers.
Based on the above, in an embodiment of the present invention, the calculating the reference value of each of the evaluation items according to the recommendation score of each of the evaluation information in the ranking result includes: calculating a reference value of each evaluation item by using a formula I according to the recommendation score of each evaluation information in the sequencing result;
the first formula comprises:
Figure BDA0002403942120000101
wherein ,
Figure BDA0002403942120000102
when in use
Figure BDA0002403942120000103
Time kiWhen 1 is equal to
Figure BDA0002403942120000104
Time of flight
Figure BDA0002403942120000105
wherein ,yiIs the reference value, k, of the i-th evaluation item of the at least one evaluation itemiAs coefficients for the i-th evaluation term, niThe total number, x, of the evaluation information corresponding to the ith evaluation item in the sorting resultijA recommendation score, x, for the jth evaluation information corresponding to the ith evaluation item in the ranking resultimaxThe maximum value of the recommendation scores of the evaluation information corresponding to the ith evaluation item in the sorting result.
In summary, the embodiment of the invention provides an implementation method for fusing CDN scientific vendors, which can solve the problem that it is difficult for an enterprise to select vendors when the enterprise makes a fused CDN product.
Based on the above content, as shown in fig. 2, an 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 piece of CDN vendor information provided by the outside, wherein the CDN vendor information comprises a vendor identifier and at least one piece of evaluation information, each piece of evaluation information in the at least one piece of evaluation information corresponds to an evaluation item, and the evaluation items corresponding to different pieces of evaluation information are different.
Step 203: for any first CDN vendor information in the at least one CDN vendor information, executing, 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 conforms to the target evaluation requirement; and recording the recommendation score of the current evaluation information as the evaluation value required by the target evaluation.
Step 204: 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 identifier included in the first CDN vendor information.
Step 205: sequencing each CDN manufacturer information according to the sequence of the recommendation scores from high to low, so that the recommendation score of the manufacturer identifier in the CDN manufacturer information sequenced in the front is not less than the recommendation score of the manufacturer identifier in the CDN manufacturer information sequenced in the back, and a sequencing result is obtained.
Step 206: and calculating a 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 the 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 carried out on the first evaluation information; and when the comparison result shows 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;
an interaction unit 302, configured to receive at least one piece of CDN vendor information provided from the outside, where the CDN vendor information includes a vendor identifier and at least one piece of evaluation information, where each piece of evaluation information in the at least one piece of evaluation information corresponds to an evaluation item, and evaluation items corresponding to different pieces of evaluation information are different;
a processing unit 303, configured to execute, for any first CDN vendor information in the at least one CDN vendor information, 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 conforms to the target evaluation requirement; recording the evaluation value of the recommended score of the current evaluation information as the target evaluation requirement; 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 identifier included in the first CDN vendor information;
the sorting unit 304 is configured to sort, according to a sequence from high recommendation scores to low recommendation scores, vendor identifiers in each piece of CDN vendor information to obtain a sorting result, and output the sorting result.
In an 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 a piece of CDN vendor information sorted before is not less than a recommendation score of a vendor identifier in a piece of CDN vendor information sorted after.
In an embodiment of the present invention, the processing unit 303 is configured to calculate a reference value of each of the evaluation items according to a recommendation score of each of the evaluation information in the ranking result;
the sorting unit 304 is configured to, before outputting the sorting result, perform, 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 shows that the first recommendation score is larger than the first reference value, the first evaluation information is highlighted; and when the comparison result shows that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
In an embodiment of the present invention, the processing unit 303 is configured to calculate a reference value of each of the evaluation items according to the recommendation score of each of the evaluation information in the ranking result by using the above formula one.
Because the information interaction, execution process, and other contents between the units in the device are based on the same concept as the method embodiment of the present invention, specific contents may refer to the description in the method embodiment of the present invention, and are not described herein again.
Embodiments of the present invention also provide a computer-readable medium storing instructions for causing a computer to perform the CDN vendor recommendation method as described herein. Specifically, a system or an apparatus equipped with a storage medium on which software program codes that realize the functions of any of the above-described embodiments are stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program codes stored in the storage medium.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying 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 via a communications network.
Further, it should be clear that the functions of any one 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 a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described 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 an evaluation value of each evaluation requirement; receiving a plurality of CDN manufacturer information provided by the outside, wherein each CDN manufacturer information comprises a manufacturer identifier and a plurality of evaluation information corresponding to an evaluation item; aiming at each 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 accorded with the evaluation information, and recording an evaluation value of the evaluation requirement as a recommendation score of the evaluation information; calculating the sum of recommendation scores of each piece of evaluation information included in the CDN vendor information to serve as the recommendation score of the vendor identifier; and sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence of the recommendation scores from high to low to obtain and output a sequencing result. The embodiment of the invention can provide convenience for accurately selecting CDN manufacturers.
2. In the embodiment of the invention, the evaluation of the CDN manufacturer can involve a plurality of evaluation items preset as required, and the evaluation items can at least cover the four aspects of node quality, technical standard, service support and function coverage, so that the manufacturer can select the standard, comprehensive and blind, thereby avoiding fund waste, improving the quality of the fused CDN product, ensuring the reliability and controllability of product service and ensuring user experience.
3. The embodiment of the invention provides an implementation method for selecting manufacturers in a converged CDN science, which can solve the problem that manufacturers are difficult to select when enterprises make a converged CDN product.
It should be noted that not all steps and modules in the above flows and system structure diagrams are necessary, and some steps or modules may be omitted according to actual needs. The execution order 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 a plurality of physical entities, or some components in a plurality of independent devices may be implemented together.
In the above embodiments, the hardware unit may be implemented mechanically or electrically. For example, a hardware element may comprise permanently dedicated circuitry or logic (such as a dedicated processor, FPGA or ASIC) to perform the corresponding operations. The hardware elements may also comprise programmable logic or circuitry, such as a general purpose processor or other programmable processor, that may be temporarily configured by software to perform the corresponding operations. The specific implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other similar elements in a process, method, article, or apparatus that comprises the element.
While the invention has been shown and described in detail in the drawings and in the preferred embodiments, it is not intended to limit the invention to the embodiments disclosed, and it will be apparent to those skilled in the art that various combinations of the code auditing means in the various embodiments described above may be used to obtain further embodiments of the invention, which are also within the scope of the invention.

Claims (10)

1. The content delivery network CDN manufacturer recommendation 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 piece of CDN vendor information provided from the outside, wherein the CDN vendor information comprises a vendor identifier and at least one piece of evaluation information, each piece of evaluation information in the at least one piece of evaluation information corresponds to an evaluation item, and the evaluation items corresponding to different pieces of evaluation information are different;
for any first CDN vendor information in the at least one CDN vendor information, executing, 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 conforms to the target evaluation requirement; recording the evaluation value of the recommended score of the current evaluation information as the target evaluation requirement;
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 identifier included in the first CDN vendor information;
and sequencing the manufacturer identifications 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.
2. The method of claim 1,
the sequencing of the vendor identifier in each piece of CDN vendor information includes: sequencing each CDN manufacturer information to enable the recommendation score of the manufacturer identifier in the CDN manufacturer information sequenced in the front to be not less than the recommendation score of the manufacturer identifier in the CDN manufacturer information sequenced in the back.
3. The method of claim 2,
further comprising: calculating a reference value of each evaluation item according to the recommendation score of each evaluation information in the sequencing result;
before the outputting the 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 shows that the first recommendation score is larger than the first reference value, the first evaluation information is highlighted;
and when the comparison result shows that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
4. The method of claim 3,
the calculating the reference value of each evaluation item according to the recommendation score of each evaluation information in the sorting result comprises: calculating a reference value of each evaluation item by using a formula I according to the recommendation score of each evaluation information in the sequencing result;
the first formula comprises:
Figure FDA0002403942110000021
wherein ,
Figure FDA0002403942110000022
when in use
Figure FDA0002403942110000023
Time kiWhen 1 is equal to
Figure FDA0002403942110000024
Time of flight
Figure FDA0002403942110000025
wherein ,yiIs the reference value, k, of the i-th evaluation item of the at least one evaluation itemiAs coefficients for the i-th evaluation term, niThe total number, x, of the evaluation information corresponding to the ith evaluation item in the sorting resultijA recommendation score, x, for the jth evaluation information corresponding to the ith evaluation item in the ranking resultimaxThe maximum value of the recommendation scores of the evaluation information corresponding to the ith evaluation item in the sorting result.
5. The content delivery network CDN manufacturer recommendation device is characterized by comprising:
the device comprises a setting unit, a judging unit and a judging unit, wherein 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 interaction unit is used for receiving at least one piece of CDN vendor information provided from the outside, wherein the CDN vendor information comprises a vendor identifier and at least one piece of evaluation information, each piece of evaluation information in the at least one piece of evaluation information corresponds to an evaluation item, and the evaluation items corresponding to different pieces of evaluation information are different;
a processing unit, configured to execute, for any first CDN vendor information in the at least one CDN vendor information, 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 conforms to the target evaluation requirement; recording the evaluation value of the recommended score of the current evaluation information as the target evaluation requirement; 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 identifier included in the first CDN vendor information;
and the sequencing unit is used for sequencing the manufacturer identifications in the CDN manufacturer information according to the sequence of the recommendation scores from high to low to obtain a sequencing result and outputting the sequencing result.
6. The CDN vendor recommendation device of claim 5,
the sequencing unit is used for sequencing each piece of CDN manufacturer information, so that the recommendation score of the manufacturer identifier in the CDN manufacturer information sequenced in the front is not less than the recommendation score of the manufacturer identifier in the CDN manufacturer information sequenced in the back.
7. The CDN vendor recommendation device of claim 6,
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, before outputting the sorting result, perform, 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 shows that the first recommendation score is larger than the first reference value, the first evaluation information is highlighted; and when the comparison result shows that the first recommendation score is smaller than the first reference value, performing second highlighting on the first evaluation information.
8. The CDN vendor recommendation device of claim 7,
the processing unit is used for calculating a reference value of each evaluation item by using a formula I according to the recommendation score of each evaluation information in the sequencing result;
the first formula comprises:
Figure FDA0002403942110000031
wherein ,
Figure FDA0002403942110000032
when in use
Figure FDA0002403942110000033
Time kiWhen 1 is equal to
Figure FDA0002403942110000034
Time of flight
Figure FDA0002403942110000035
wherein ,yiIs the reference value, k, of the i-th evaluation item of the at least one evaluation itemiAs coefficients for the i-th evaluation term, niThe total number, x, of the evaluation information corresponding to the ith evaluation item in the sorting resultijA recommendation score, x, for the jth evaluation information corresponding to the ith evaluation item in the ranking resultimaxThe maximum value of the recommendation scores of the evaluation information corresponding to the ith evaluation item in the sorting result.
CDN vendor recommendation apparatus, comprising: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor, configured to invoke the machine readable program to perform the method of any of claims 1 to 4.
10. Computer readable medium, characterized in that it has stored thereon computer instructions which, when executed by a processor, cause the processor to carry out the method of any one of claims 1 to 4.
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