CN110944061A - Content distribution network scheduling method and device, computer equipment and storage medium - Google Patents
Content distribution network scheduling method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a content distribution network scheduling method, a content distribution network scheduling device, computer equipment and a storage medium. The method comprises the following steps: collecting at least one call chain data generated by interaction between a target type server and a target type client in a content distribution network according to the received screening conditions to form at least one interaction sample; respectively scoring each interactive sample according to at least one evaluation index to obtain a scoring result of each interactive sample; generating a server set according to the target type server associated with each call chain data; screening the servers in the server set according to the scoring results of the interaction samples matched with the scoring indexes; and taking the server included in the server set obtained by screening as the optimization server corresponding to the screening condition. The embodiment of the invention can reduce the labor cost for adjusting the scheduling strategy of the content distribution network and improve the efficiency for adjusting the scheduling strategy.
Description
Technical Field
The embodiment of the invention relates to the field of data processing, in particular to a content distribution network scheduling method, a content distribution network scheduling device, computer equipment and a storage medium.
Background
A Content Delivery Network (CDN) is an intelligent virtual Network built on the basis of the existing Network, and enables a user to obtain required Content nearby by means of functional modules of load balancing, Content Delivery, scheduling and the like of a central platform by means of edge servers deployed in various places, so that Network congestion is reduced, and the access response speed of the user is increased.
Because there are many vendors providing CDN acceleration services, the emphasis points of the vendors on deploying CDN node networks are different, and the distribution scheduling policies of the vendors are different, it is not guaranteed that networks of all regions and operators can obtain continuous, stable, and high-quality acceleration experiences, and it is necessary to continuously monitor the acceleration service quality and continuously adjust and optimize the acceleration service quality.
Conventional Application Performance Management (APM) products can monitor data such as Performance and availability of network requests for access to the CDN to accelerate in various regions and operators, but quality assessment and adjustment schemes require professional data analysts to manually analyze the monitored data. Moreover, the quality evaluation and adjustment scheme has high requirements on personnel, and needs to have high professional background knowledge such as the internet, the CDN and the like, data sensitivity and data analysis capability; meanwhile, the efficiency of data analysis is greatly different according to the personal ability and experience of analysts, but the general efficiency is not high; in addition, on the aspect of analyzing data in a long time and a large scale, a plurality of analysts can be completed together, and the unification of standards is difficult to ensure.
Disclosure of Invention
The embodiment of the invention provides a content distribution network scheduling method, a content distribution network scheduling device, computer equipment and a storage medium, which can reduce the labor cost of content distribution network scheduling policy adjustment and improve the efficiency of scheduling policy adjustment.
In a first aspect, an embodiment of the present invention provides a content delivery network scheduling method, including:
collecting at least one call chain data generated by interaction between a target type server and a target type client in a content distribution network according to the received screening conditions to form at least one interaction sample; wherein the screening condition comprises a geographical area condition and/or an operator condition;
respectively scoring each interactive sample according to at least one evaluation index to obtain a scoring result of each interactive sample;
generating a server set according to the target type server associated with each call chain data;
screening the servers in the server set according to the scoring results of the interaction samples matched with the scoring indexes;
and taking the server included in the server set obtained by screening as an optimization server corresponding to the screening condition, so that the content distribution network distributes the request generated by the target type client to the optimization server for processing.
In a second aspect, an embodiment of the present invention provides a content delivery network scheduling apparatus, including:
the interactive sample generation module is used for collecting at least one calling chain data generated by interaction between a target type server and a target type client in a content distribution network according to the received screening conditions to form at least one interactive sample; wherein the screening condition comprises a geographical area condition and/or an operator condition;
the scoring result determining module is used for scoring each interactive sample according to at least one evaluation index to obtain a scoring result of each interactive sample;
the server set generation module is used for generating a server set according to the target type server associated with each calling chain data;
the server set screening module is used for screening the servers in the server set according to the grading result of each interactive sample matched with each grading index;
and the optimization server determining module is used for taking the server included in the server set obtained by screening as the optimization server corresponding to the screening condition so as to enable the content distribution network to distribute the request generated by the target type client to the optimization server for processing.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the content distribution network scheduling method according to any one of the embodiments of the present invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the content distribution network scheduling method according to any one of the embodiments of the present invention.
The embodiment of the invention collects the call chain data meeting the screening condition, each call chain data takes a target type client as a requester and a target type server as a receiver and forms at least one interactive sample, scores each interactive sample by adopting a plurality of different evaluation indexes to obtain the scoring result of each interactive sample, screens the servers in a server set formed by the servers involved in each call chain data to obtain an optimized server which is used as a load object to be distributed in a content distribution network, solves the problems of manually evaluating the quality of the content distribution network and determining a scheduling strategy in the prior art, realizes the automatic quality evaluation of the content distribution network, determines the scheduling strategy, reduces the manual cost of the scheduling strategy adjustment of the content distribution network and improves the efficiency of the scheduling strategy adjustment, therefore, the service quality of the content distribution network is improved, the response efficiency of the request is improved, and the reliability of the content distribution network is enhanced.
Drawings
Fig. 1 is a flowchart of a content distribution network scheduling method according to a first embodiment of the present invention;
fig. 2a is a flowchart of a content distribution network scheduling method in the second embodiment of the present invention;
fig. 2b is a flowchart of a content distribution network scheduling method in the second embodiment of the present invention;
fig. 2c is a flowchart of a content distribution network scheduling method in the second embodiment of the present invention;
FIG. 2d is a diagram illustrating the scoring results of a content distribution network according to a second embodiment of the present invention;
fig. 2e is a diagram illustrating the scoring result of a content distribution network according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a scheduling apparatus of a content distribution network in a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a content distribution network scheduling method in an embodiment of the present invention, where this embodiment is applicable to a situation where scheduling policy adjustment is performed in a content distribution network, and the method may be executed by a content distribution network scheduling apparatus provided in an embodiment of the present invention, where the apparatus may be implemented in a software and/or hardware manner, and may generally be integrated into a computer device, such as a server. As shown in fig. 1, the method of this embodiment specifically includes:
s110, collecting at least one calling chain data generated by interaction between a target type server and a target type client in a content distribution network according to the received screening conditions to form at least one interaction sample; wherein the screening condition comprises a geographical area condition and/or an operator condition.
Specifically, the screening condition is used to determine and collect call chain data of a server with a target type, where an initiator of the request is the client with the target type, and a receiver of the request is the server with the target type. The call chain is used to describe a process from a client initiating a request to a server responding to the client, that is, the call chain is used to describe an interaction process between the client and the server, and the call chain data may refer to data associated with a process from a client initiating a request to a server responding to the client. Typically, there is one client and at least one server in one call chain.
The content distribution network may refer to a new network architecture added to the existing Internet (Internet), and is composed of high-performance acceleration nodes distributed throughout the country. The service nodes with high performance can store the service contents according to a certain caching strategy, when a user sends a request to a certain service content, the request can be dispatched to the service node closest to the user, the service node can directly and quickly respond, the access delay of the user is effectively reduced, and the availability is improved.
The screening conditions comprise at least geographical area conditions and/or operator conditions. The geographic region condition is used for screening out call chain data associated with the client terminal located in the set first region, namely the call chain data indicate a request sent by the client terminal located in the set first region; or the server is used for screening out the call chain data which is associated with the client terminal positioned in the set first area and is associated with the server positioned in the set second area, namely the call chain data indicates the request sent by the client terminal positioned in the set first area, and meanwhile, the request is responded by the server positioned in the set second area. The first region and the second region may be the same or different, or may partially overlap.
The operator condition is used for screening out call chain data associated with the client terminal provided with the network service by the first operator, namely the call chain data indicates a request sent by the client terminal provided with the network service by the first operator; or for screening out invocation chain data associated with a client provided with network service by the first operator and associated with a server affiliated to the second operator, namely the invocation chain data indicates a request sent by the client provided with network service by the first operator, and meanwhile, the request is responded by the server affiliated to the second operator. The first operator and the second operator may be the same or different.
The filtering condition may further include a time condition for filtering out the call chain data in the set time period, and the filtering condition may further include other contents, which is not specifically limited in the embodiment of the present invention.
The target type server is a service node in the content distribution network; wherein the content distribution network is composed of a plurality of service nodes. The target type server refers to a server located in a set second area and/or affiliated with a second operator.
The target type client may refer to a client located in a set first area and/or provided with network services by a first operator.
One call chain data is used to form one interaction sample.
And S120, scoring each interactive sample according to at least one evaluation index to obtain a scoring result of each interactive sample.
Specifically, the evaluation index is used to evaluate the service quality of the server providing the service in each interaction sample in one dimension. And the grading result of the interactive sample is used for describing the service quality grades of the servers providing the services, which are obtained by respectively adopting different evaluation indexes in the calling chain corresponding to the interactive sample. The overall scoring result is used for describing the service quality scores of the content distribution network (including all screened servers) obtained by respectively adopting different evaluation indexes.
Optionally, the evaluation index includes: transmission speed, call elapsed time, availability, or overall coverage, wherein the call elapsed time comprises domain name resolution elapsed time, TCP connection elapsed time, and response time.
The transmission speed is used for describing the speed of downloading or uploading the file, and is equal to the ratio of the number of bytes downloaded or uploaded to the transmission time.
The call time is used to describe the time consumed for completing the call chain, i.e. the time from the client initiating the request to the server responding to the client is received. Specifically, the time consumed for calling includes time consumed for domain name resolution, time consumed for TCP connection, and response time. Where the resolution time is used to describe the time required for the server to convert the domain name to an IP address. TCP connection elapsed time is used to describe the time required for a client to establish a TCP connection with a server during a file download or upload process. The response time is used to describe the time required from the completion of the client sending the request to the completion of the service request response, for example, the time between the completion of the client sending the download request and the reception of the first packet of download data responded by the server, and the time between the completion of the client sending the upload data and the reception of the server response data.
Availability is used to describe the availability of a server, and specifically refers to the ratio of the number of correct transmissions between a type of client (e.g., a target type of client) and a server to the number of total transmissions between the type of client and the server. One class of clients includes at least one client.
The overall coverage is used to describe the service times of the servers belonging to the same province and the same operator as the client, specifically, the overall coverage is a ratio of the number of times of interaction between the target type client and the servers belonging to the same province and the same operator to the total number of times of interaction between the target type client and any server.
Wherein, the number of times can be represented by the number of the interactive samples. Whether the transmission is correct or not can be judged through the data in the interactive sample, for example, the data of any interaction abnormality is judged not to exist in the interactive sample, which indicates that the transmission corresponding to the interactive sample is correct.
And evaluating the corresponding numerical value obtained by calculating according to each evaluation index to obtain a score corresponding to the numerical value as an evaluation result corresponding to each evaluation index.
The quality evaluation of the server in the content distribution network can be carried out in multiple dimensions by configuring a plurality of evaluations, so that the accuracy of the quality evaluation of the server is improved, and the accuracy of the quality evaluation of the content distribution network is improved.
Specifically, the score calculation mode of the score index is specifically as follows:
for the transmission speed, when the transmission speed is greater than or equal to the transmission industry value, the scoring result of the transmission speed of the interactive sample is full (such as 100 points or 10 points). When the transmission speed is less than the transmission industry value, the grading result of the transmission speed of the interactive sample is the ratio of the transmission speed to the industry value.
For example, the scoring result y of the transmission speed of the interactive sample is calculated based on the following formula:
when x is more than or equal to a, y is A
When x is<at the time of a, the number of the first layer,
wherein, a is the full score, a is the industry value, and x is the transmission speed of the interactive sample. Illustratively, a is 100 points.
And the scoring calculation method of the availability and the overall coverage rate is the same as the scoring calculation method of the transmission speed.
And aiming at the time consumed by domain name resolution, when the time consumed by domain name resolution is less than or equal to the domain name industry value, the scoring result of the time consumed by domain name resolution of the interactive sample is full. When the time consumed for domain name resolution is more than or equal to five times of the domain name industry value, the scoring result of the time consumed for domain name resolution of the interaction sample is zero. When the domain name resolution time consumption is larger than the domain name industry value and smaller than five times of the domain name industry value, the scoring result of the domain name resolution time consumption of the interaction sample is determined according to the position of the domain name resolution time consumption in the interval larger than the domain name industry value and smaller than five times of the domain name industry value. For example, the scoring result y of the interaction sample for time-consuming domain name resolution is calculated based on the following formula:
when x is more than or equal to 5a, y is 0
When x is less than or equal to a, y is A
When a is<x<At the time of 5a, the first step,
wherein, A is full score, a is an industry value, and x is the domain name resolution time of the interactive sample. Illustratively, a is 100 points.
And the grading calculation method of TCP connection time consumption and response time is the same as the grading calculation method of domain name resolution time consumption.
The industry value calculation method of each evaluation index specifically comprises the following steps: and selecting at least one front-line enterprise website application in the industries of news portals, e-commerce, finance, games, videos, education, governments, verticality, operators, medical health, traffic tourism and the like for long-term monitoring by using an active detection technology, calculating a numerical value corresponding to each evaluation index for each collected interactive sample, and calculating an average value to serve as an industrial value corresponding to the evaluation index.
Optionally, the at least one evaluation index includes: availability; the screening the servers in the server set according to the scoring results of the interaction samples matched with the scoring indexes comprises the following steps: and screening the servers with the matching interaction samples with the availability smaller than a preset availability threshold value from the server set.
The availability threshold is used to determine whether the server is operating properly. An interactive sample matching server with an availability less than a preset availability threshold indicates that the server is not functioning properly.
And (4) screening out the servers which can not work normally from the server set, wherein the rest servers are normal servers.
The content distribution network distributes the request to the normally operating servers for processing to provide the correct service by screening out the servers with availability below the availability threshold from the server set and retaining the servers with high availability.
Optionally, the at least one evaluation index includes: calling time consumption and transmission speed; after screening out from the set of servers that match interaction samples having an availability less than a preset availability threshold, further comprising: and screening the servers matched with the interaction samples with the transmission speed less than or equal to a preset speed threshold value and/or the calling time more than or equal to a preset calling threshold value from the server set.
The preset speed threshold is used for judging the quality of the network condition between the server and the client. The fact that the transmission speed is less than or equal to the preset speed threshold value indicates that the network condition of the server and the client is poor, when the server provides service for the client, the data transmission speed is low, the time consumed for the client to receive response data is long, and even data loss occurs in the data transmission process, so that the client cannot normally receive the response data.
The preset calling threshold is used for judging the processing speed of the server. The calling time consumption is larger than or equal to the preset calling threshold, which indicates that the processing speed of the server is low, and the time consumption for the client to receive the response data is long.
And (4) screening the servers with low processing speed and/or low transmission speed from the server set, wherein the processing quality of the rest servers is high.
The servers with the output speed less than or equal to the preset speed threshold and/or the calling time greater than or equal to the preset calling threshold are screened from the server set, and the servers with high processing quality are reserved, so that the content distribution network distributes the request to the servers with high-quality work for processing, and efficient and correct service is provided.
Optionally, after the server matching the interaction samples with the transmission speed less than or equal to the preset speed threshold and/or the call time greater than or equal to the preset call threshold is screened from the server set, the method further includes: if the screened server set is empty, adding the server of the operator which is in the geographic area matched with the screening condition and is matched with the screening condition to the screened server set; and if the geographic area and the server of the operator which are matched with the screening condition do not exist, adding the expanded geographic area which is matched with the geographic area and the server of the operator which is matched with the screening condition to the screened server set.
In the foregoing screening process, it may happen that all servers in the server set are screened, i.e., the server set is empty. At this time, a server of the same province and the same operator as the target type client is selected and added to the server set for subsequent screening, or the server is obtained after the final screening.
The enlarged geographic area encompasses a geographic area. And expanding the geographic area into the upper city area range of the geographic area. For example, the geographic region may be from the company of the chen stage city, and the expanded geographic region may be from the province of north river.
If there are no servers of the same province and the same operator, a server of the same operator and located in an enlarged geographic area may be selected to be added to the server set.
And adding the servers which are matched with the expanded geographic area and have the same operation business to the filtered server set, thereby gradually widening the selection range of the servers and ensuring that at least one server exists in the server set.
It will be appreciated that the same operator server is a prerequisite since the quality of service provided across provincial servers is higher than the quality of service provided across operators.
The server of the same province and the same operator or the server of the same operator is added in the server set which is empty after the screening, so that the server set is ensured to comprise at least one server, the content distribution network is ensured to comprise at least one server capable of being distributed, and the reliability of the content distribution network is improved.
And S130, generating a server set according to the target type server associated with each calling chain data.
Each server included in the server set is used as a load object of the request distribution initiated by the target type client. It will be appreciated that the client's request is distributed to a designated server for processing over the content distribution network. In order to improve the processing efficiency of the request of the client, the content distribution network selects a server with good service quality and in a normal working state according to the strategy to process the request sent by the client. And generating a server set, namely generating a load list of the target type client.
In fact, the content distribution network will distribute the request from the client to the server in the same or nearby geographical location of the client for processing. The target type client actually refers to a client located in the first area. Thus, the servers in the server set are used as alternative servers to the target type client, so that the content distribution network distributes the request of the target type client to the servers in the server set to provide efficient and correct service.
S140, screening the servers in the server set according to the scoring results of the interaction samples matched with the scoring indexes.
Specifically, an evaluation index is adopted to evaluate an interactive sample, so that a scoring result can be obtained, and correspondingly, the scoring result actually represents the service quality of the server in the call chain data corresponding to the interactive sample. Thus, the scoring result is effectively a score that indicates the quality of service of the server with which the interaction sample is associated.
And screening the servers to reserve the servers with good service quality and better meeting the response requirements of the target type client as load objects provided by the content distribution network aiming at the target type client, so that the service quality of the content distribution network is improved.
And S150, taking the server included in the server set obtained by screening as an optimization server corresponding to the screening condition, so that the content distribution network distributes the request generated by the target type client to the optimization server for processing.
And the optimization server is used for providing service for the target type client matched with the screening condition. The optimization server is actually a server selected from the servers and more suitable for providing service for the target type client.
Optionally, after taking the server included in the filtered server set as the optimization server corresponding to the filtering condition, the method further includes: and distributing the load tasks related to the screened servers to the optimization servers corresponding to the screening conditions.
The load tasks associated with the excluded servers may refer to requests to be processed by the allocated servers. The screened servers are actually servers with low service quality, and the load tasks of the screened servers are distributed to the servers with higher service quality for processing, so that the processing efficiency and quality of the load tasks can be improved.
On the basis of the foregoing embodiment, optionally, the content delivery network scheduling method further includes: and calculating the weighted sum of the scoring results of the interaction samples matched with the scoring indexes according to the weights of the scoring indexes to obtain a network scoring result.
The network scoring result is used as a network quality of service scoring result for the content distribution network. The weights are used for determining the proportion of each evaluation index so as to calculate a network scoring result.
By means of calculating the weighted sum, a plurality of evaluation indexes are comprehensively considered, and finally a network scoring result is determined, so that the network scoring result of the content distribution network is more accurate.
The embodiment of the invention collects the call chain data meeting the screening condition, each call chain data takes a target type client as a requester and a target type server as a receiver and forms at least one interactive sample, scores each interactive sample by adopting a plurality of different evaluation indexes to obtain the scoring result of each interactive sample, screens the servers in a server set formed by the servers involved in each call chain data to obtain an optimized server which is used as a load object to be distributed in a content distribution network, solves the problems of manually evaluating the quality of the content distribution network and determining a scheduling strategy in the prior art, realizes the automatic quality evaluation of the content distribution network, determines the scheduling strategy, reduces the manual cost of the scheduling strategy adjustment of the content distribution network and improves the efficiency of the scheduling strategy adjustment, therefore, the service quality of the content distribution network is improved, the response efficiency of the request is improved, and the reliability of the content distribution network is enhanced.
Example two
Fig. 2a is a flowchart of a content distribution network scheduling method according to a second embodiment of the present invention, which is embodied based on the foregoing embodiment. As shown in fig. 2a, the method of this embodiment specifically includes:
s201, collecting at least one call chain data generated by interaction between a target type server and a target type client in a content distribution network according to the received screening conditions to form at least one interaction sample; wherein the screening condition comprises a geographical area condition and/or an operator condition.
And screening the call chain data in the content distribution network according to the city and the operator to which the client side associated in the call chain data belongs and the city and the operator to which the server associated in the call chain data belongs. Specifically, the city and the operator to which the client belongs can be determined through the IP of the client, and the city and the operator to which the server belongs can be determined according to the IP of the server. That is, statistics is carried out according to the dimension of the client city operator-server city operator-IP, and at least one call chain data generated by interaction between the target type server and the target type client is obtained through screening.
The screening conditions, the geographic area conditions, the operator conditions, the content distribution network, the target type server, the target type client, the call chain data, the interaction samples, the evaluation indexes, the transmission speed, the call time consumption, the availability, the domain name resolution time consumption, the TCP connection time consumption, the response time, the scoring results, the server set, the geographic area expansion and the optimization server of the embodiments of the present invention can refer to the description of the above embodiments.
S202, scoring each interactive sample according to at least one evaluation index to obtain a scoring result of each interactive sample; the evaluation index includes: transmission speed, call elapsed time or availability, wherein the call elapsed time comprises domain name resolution elapsed time, TCP connection elapsed time and response time.
Wherein, the evaluation index can also comprise the overall coverage rate.
And after the scoring result of each interactive sample is obtained, calculating the statistical result of the whole interactive sample set, wherein the whole interactive sample set is the whole interactive samples obtained in the previous step.
Specifically, the statistical result includes a quartile consumed by calling the interactive sample set and a quartile of the transmission speed of the interactive sample set.
Specifically, the calculation method of the quartile is as follows: and arranging the numerical values corresponding to all the interactive samples from small to large and dividing the numerical values into four equal parts, wherein the numerical values at the positions of the three dividing points are quartiles.
And S203, generating a server set according to the target type server associated with each calling chain data.
S204, screening out the servers with the availability smaller than the preset availability threshold value and matched with the interaction samples from the server set.
Illustratively, the availability threshold is 100%.
S205, the servers matched with the interactive samples with the transmission speed less than or equal to the preset speed threshold and/or the calling time more than or equal to the preset calling threshold are screened from the server set.
Illustratively, the preset speed threshold is a quarter of the number of quantiles of the transmission speed of the aforementioned interactive sample set; the preset calling threshold is three quarters of the time consumed by calling the interactive sample set.
S206, if the screened server set is empty, adding the server of the operator matched with the screening condition to the screened server set in the geographic area matched with the screening condition.
S207, if the geographic area and the operator server which are matched with the screening condition do not exist, the expanded geographic area which is matched with the geographic area is added to the screened server set, and the operator server which is matched with the screening condition is added to the screened server set.
Specifically, the geographical area is a provincial and urban geographical area, and the enlarged geographical area is a north China area, a middle China area or a south China area.
And S208, taking the server included in the server set obtained by screening as the optimization server corresponding to the screening condition, so that the content distribution network distributes the request generated by the target type client to the optimization server for processing.
S209, distributing the load tasks related to the screened servers to the optimization servers corresponding to the screening conditions.
On the basis of the foregoing embodiment, optionally, the content delivery network scheduling method further includes: and calculating the weighted sum of the scoring results of the interaction samples matched with the scoring indexes according to the weights of the scoring indexes to obtain a network scoring result.
In a specific example, as shown in fig. 2 b-2 c, the content distribution network scheduling method specifically includes:
s211, collecting at least one call chain data generated by interaction between a target type server and a target type client in a content distribution network according to the received screening conditions, and forming at least one interaction sample.
S212, scoring each interactive sample according to at least one evaluation index to obtain a scoring result of each interactive sample; the evaluation index includes: transmission speed, call elapsed time or availability, wherein the call elapsed time comprises domain name resolution elapsed time, TCP connection elapsed time and response time.
And S213, calculating three quarters of the number of the calling time-consuming interactive sample sets formed by all the interactive samples and one quarter of the number of the transmission speed.
And S214, generating a server set according to the target type server associated with each calling chain data.
S215, screening out the servers with the interaction sample matching availability less than 100% from the server set.
And S216, judging whether the screened server set is empty, if so, executing S217, otherwise, executing S218.
S217, adding the servers of the operators which are matched with the screening conditions and the geographical areas which are matched with the screening conditions to the screened server set, and executing S218.
S218, screening the servers with the transmission speed less than or equal to one-quarter quantile of the transmission speed and/or the server with the interaction sample matching time consumption more than or equal to three-quarter quantile of the calling time consumption from the server set.
And S219, judging whether the filtered server set is empty, if so, executing S220, otherwise, executing S225.
And S220, judging whether the screened servers have geographic areas matched with the screening conditions and the servers of the operators matched with the screening conditions, if so, executing S222, otherwise, executing S221.
And S221, judging whether the screened servers have the server of the operator matched with the screening condition, if so, executing S223, otherwise, executing S224.
S222, adding the server of the operator matching the geographic area and the screening condition to the server set, and executing S225.
S223, adding the server of the operator matching the screening condition to the server set, and executing S225.
S224, adding the expanded geographic area matched with the geographic area and the operator server matched with the screening condition to the screened server set, and executing S225.
And S225, taking the server included in the server set obtained by screening as the optimization server corresponding to the screening condition, so that the content distribution network distributes the request generated by the target type client to the optimization server for processing.
And S226, distributing the load tasks related to the screened servers to the optimization servers corresponding to the screening conditions.
In addition, as shown in fig. 2d, the CDN composite score is shown as a pie chart, where the overall speed is the transmission speed. The domain name resolution time is DNS time, TCP time is TCP connection time, and response time is response time. The low speed ratio is the ratio of the number of interaction samples with low overall speed in each interaction sample to the number of all interaction samples, wherein the low overall speed is the interaction sample with the overall speed value lower than a preset overall speed threshold, the low speed ratio is used for evaluating the acceleration quality level of each CDN service, the higher the low speed ratio is, the higher the ratio of the low overall acceleration service quality is, namely the lower the acceleration quality of the CDN is, the low speed ratio can convert the analysis of specific index values into more visual ratio display, and the method plays a positive role in analyzing the acceleration service quality of the CDN more quickly.
The task trend graph is used for describing the trend of the comprehensive score of the CDN changing with time, describing the trend of the slow speed ratio changing with time, describing the trend of the comprehensive score of the industry value changing with time, and describing the trend of the slow speed ratio changing with time.
Illustratively, table 1 provides values of evaluation indexes of the CDN in the task trend graph and values of evaluation indexes of the industry values.
TABLE 1
In more detail, the values of the evaluation indexes of the CDN at different times are shown in table 2.
TABLE 2
Through experiments, specific data of the content distribution network before and after being optimized by the content distribution network scheduling method provided by the embodiment of the invention are respectively shown in table 3 and table 4. Table 3 provides information and values of various evaluation indexes of different servers that serve the clients of the shanghai telecommunication before tuning by the content distribution network. The overall performance is the time consumed for calling, and the arrival rate is the overall coverage rate.
TABLE 3
| Client terminal | Server | Server IP | Availability (%) | Overall Property(s) | Arrival Rate (%) |
| Shanghai telecommunication | Huzhou telecommunications | A.A.A.A | 99.94 | 0.211 | 90.92 |
| Shanghai telecommunication | Dongguan telecommunication | B.B.B.B | 100 | 0.323 | 8.78 |
| Shanghai telecommunication | River communication | C.C.C.C | 100 | 0.353 | 0.3 |
| Shanghai telecommunication | Corridor house communication | D.D.D.D | 0 | 0 | 0 |
According to the content distribution network scheduling method provided by the embodiment of the invention, the servers in the content distribution network in the table 3 are evaluated and screened, and correspondingly, the obtained optimized servers are shown in the table 4. Table 4 provides information and values of various evaluation indexes for different servers of the content distribution network that serve clients of the shanghai telecommunication after tuning.
TABLE 4
| Client terminal | Server | Server IP | Availability (%) | Overall Property(s) | Arrival Rate (%) |
| Shanghai telecommunication | Dongguan telecommunication | B.B.B.B | 100 | 0.323 | 8.78 |
| Shanghai telecommunication | River communication | C.C.C.C | 100 | 0.353 | 0.3 |
The results of scoring the clients of the Shanghai telecommunication for the content distribution network by the servers according to the data provided in tables 3 and 4 are shown in FIG. 2 e. Specifically, fig. 2e shows each scoring result of the content distribution network that provides service for the client of the shanghai telecommunication, and each scoring result that is evaluated and screened by the server according to the capacity distribution network scheduling method provided by the embodiment of the present invention, that is, each scoring result of the content distribution network after being optimized.
According to the embodiment of the invention, the servers of the target city operator type are screened out, and the servers are evaluated according to availability and performance, so that the high-quality servers are obtained to carry out load task distribution, and the service quality and the service efficiency of the content distribution network are improved.
EXAMPLE III
Fig. 3 is a schematic diagram of a content distribution network scheduling apparatus in a third embodiment of the present invention. The third embodiment is a corresponding device for implementing the content distribution network scheduling method provided by the foregoing embodiments of the present invention, and the device may be implemented in a software and/or hardware manner, and may generally integrate a computer device and the like.
Accordingly, the apparatus of the present embodiment may include:
an interactive sample generating module 310, configured to collect, according to the received screening condition, at least one call chain data generated by interaction between a target type server and a target type client in a content distribution network, and form at least one interactive sample; wherein the screening condition comprises a geographical area condition and/or an operator condition;
the scoring result determining module 320 is configured to score each interactive sample according to at least one evaluation index, so as to obtain a scoring result of each interactive sample;
a server set generating module 330, configured to generate a server set according to a target type server associated with each call chain data;
the server set screening module 340 is configured to screen servers in the server set according to the scoring results of the interaction samples matched with the scoring indexes;
an optimization server determining module 350, configured to use a server included in the filtered server set as an optimization server corresponding to the filtering condition, so that the content distribution network distributes the request generated by the target type client to the optimization server for processing.
The embodiment of the invention collects the call chain data meeting the screening condition, each call chain data takes a target type client as a requester and a target type server as a receiver and forms at least one interactive sample, scores each interactive sample by adopting a plurality of different evaluation indexes to obtain the scoring result of each interactive sample, screens the servers in a server set formed by the servers involved in each call chain data to obtain an optimized server which is used as a load object to be distributed in a content distribution network, solves the problems of manually evaluating the quality of the content distribution network and determining a scheduling strategy in the prior art, realizes the automatic quality evaluation of the content distribution network, determines the scheduling strategy, reduces the manual cost of the scheduling strategy adjustment of the content distribution network and improves the efficiency of the scheduling strategy adjustment, therefore, the service quality of the content distribution network is improved, the response efficiency of the request is improved, and the reliability of the content distribution network is enhanced.
Further, the evaluation index includes: transmission speed, call elapsed time, availability, or overall coverage, wherein the call elapsed time comprises domain name resolution elapsed time, TCP connection elapsed time, and response time.
Further, the at least one evaluation index includes: availability; the server set filtering module 330 includes: and the availability screening unit is used for screening the servers matched with the interaction samples with the availability smaller than a preset availability threshold value from the server set.
Further, the at least one evaluation index includes: calling time consumption and transmission speed; the server set filtering module 330 further includes: and the availability screening unit is used for screening the servers with the interaction sample matching with the availability smaller than a preset availability threshold value from the server set, and then screening the servers with the interaction sample matching with the transmission speed smaller than or equal to the preset speed threshold value and/or the interaction sample matching with the calling time larger than or equal to the preset calling threshold value from the server set.
Further, the content distribution network scheduling apparatus further includes: a server set adding module, configured to, after a server matched with an interaction sample whose transmission speed is less than or equal to a preset speed threshold and/or whose calling time is greater than or equal to a preset calling threshold is screened from the server set, add, if the screened server set is empty, a server of an operator that is in a geographic area matched with the screening condition and that is in a geographic area matched with the screening condition to the screened server set; and if the geographic area and the server of the operator which are matched with the screening condition do not exist, adding the expanded geographic area which is matched with the geographic area and the server of the operator which is matched with the screening condition to the screened server set.
Further, the content distribution network scheduling apparatus further includes: and the load task distribution module is used for distributing the load tasks related to the screened servers to the optimization servers corresponding to the screening conditions after the servers included in the screened server set are used as the optimization servers corresponding to the screening conditions.
Further, the content distribution network scheduling apparatus further includes: and the network scoring result calculating module is used for calculating the weighted sum of the scoring results of the interaction samples matched with the scoring indexes according to the weights of the scoring indexes to obtain a network scoring result.
The content distribution network scheduling device can execute the content distribution network scheduling method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executed content distribution network scheduling method.
Example four
Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in FIG. 4 is only one example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 4, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16. The computer device 12 may be a device that is attached to a bus.
Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk Read-Only Memory (CD-ROM), Digital Video disk (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with computer device 12, and/or with any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication may be through an Input/Output (I/O) interface 22. Also, computer device 12 may communicate with one or more networks (e.g., Local Area Network (LAN), Wide Area Network (WAN)) via Network adapter 20. As shown, Network adapter 20 communicates with other modules of computer device 12 via bus 18. it should be understood that although not shown in FIG. 4, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to microcode, device drivers, Redundant processing units, external disk drive Arrays, (Redundant Arrays of Inesponsive Disks, RAID) systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, implementing a content distribution network scheduling method provided by any embodiment of the present invention.
EXAMPLE five
An embodiment five of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the content distribution network scheduling method provided in all the inventive embodiments of the present application:
that is, the program when executed by the processor implements: collecting at least one call chain data generated by interaction between a target type server and a target type client in a content distribution network according to the received screening conditions to form at least one interaction sample; wherein the screening condition comprises a geographical area condition and/or an operator condition; respectively scoring each interactive sample according to at least one evaluation index to obtain a scoring result of each interactive sample; generating a server set according to the target type server associated with each call chain data; screening the servers in the server set according to the scoring results of the interaction samples matched with the scoring indexes; and taking the server included in the server set obtained by screening as an optimization server corresponding to the screening condition, so that the content distribution network distributes the request generated by the target type client to the optimization server for processing.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a RAM, a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable CD-ROM, an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a LAN or a WAN, or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for scheduling a content delivery network, comprising:
collecting at least one call chain data generated by interaction between a target type server and a target type client in a content distribution network according to the received screening conditions to form at least one interaction sample; wherein the screening condition comprises a geographical area condition and/or an operator condition;
respectively scoring each interactive sample according to at least one evaluation index to obtain a scoring result of each interactive sample;
generating a server set according to the target type server associated with each call chain data;
screening the servers in the server set according to the scoring results of the interaction samples matched with the scoring indexes;
and taking the server included in the server set obtained by screening as an optimization server corresponding to the screening condition, so that the content distribution network distributes the request generated by the target type client to the optimization server for processing.
2. The method according to claim 1, wherein the evaluation index includes: transmission speed, call elapsed time, availability, or overall coverage, wherein the call elapsed time comprises domain name resolution elapsed time, TCP connection elapsed time, and response time.
3. The method of claim 2, wherein the at least one evaluation index comprises: availability;
the screening the servers in the server set according to the scoring results of the interaction samples matched with the scoring indexes comprises the following steps:
and screening the servers with the matching interaction samples with the availability smaller than a preset availability threshold value from the server set.
4. The method of claim 3, wherein the at least one evaluation index comprises: calling time consumption and transmission speed;
after screening out from the set of servers that match interaction samples having an availability less than a preset availability threshold, further comprising:
and screening the servers matched with the interaction samples with the transmission speed less than or equal to a preset speed threshold value and/or the calling time more than or equal to a preset calling threshold value from the server set.
5. The method according to claim 4, further comprising, after the step of screening out from the server set the server with the transmission speed less than or equal to the preset speed threshold and/or the server with the matched interaction sample with the calling time greater than or equal to the preset calling threshold:
if the screened server set is empty, adding the server of the operator which is in the geographic area matched with the screening condition and is matched with the screening condition to the screened server set;
and if the geographic area and the server of the operator which are matched with the screening condition do not exist, adding the expanded geographic area which is matched with the geographic area and the server of the operator which is matched with the screening condition to the screened server set.
6. The method according to claim 1, wherein after taking the server included in the filtered server set as the optimization server corresponding to the filtering condition, the method further includes:
and distributing the load tasks related to the screened servers to the optimization servers corresponding to the screening conditions.
7. The method of claim 1, further comprising:
and calculating the weighted sum of the scoring results of the interaction samples matched with the scoring indexes according to the weights of the scoring indexes to obtain a network scoring result.
8. A content distribution network scheduling apparatus, comprising:
the interactive sample generation module is used for collecting at least one calling chain data generated by interaction between a target type server and a target type client in a content distribution network according to the received screening conditions to form at least one interactive sample; wherein the screening condition comprises a geographical area condition and/or an operator condition;
the scoring result determining module is used for scoring each interactive sample according to at least one evaluation index to obtain a scoring result of each interactive sample;
the server set generation module is used for generating a server set according to the target type server associated with each calling chain data;
the server set screening module is used for screening the servers in the server set according to the grading result of each interactive sample matched with each grading index;
and the optimization server determining module is used for taking the server included in the server set obtained by screening as the optimization server corresponding to the screening condition so as to enable the content distribution network to distribute the request generated by the target type client to the optimization server for processing.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the content distribution network scheduling method according to any one of claims 1 to 7 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out a method of scheduling a content distribution network according to any one of claims 1 to 7.
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