CN115442330A - Domain name resolution system, method and equipment - Google Patents

Domain name resolution system, method and equipment Download PDF

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Publication number
CN115442330A
CN115442330A CN202210937864.0A CN202210937864A CN115442330A CN 115442330 A CN115442330 A CN 115442330A CN 202210937864 A CN202210937864 A CN 202210937864A CN 115442330 A CN115442330 A CN 115442330A
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address
value
domain name
determining
response
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CN115442330B (en
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王金土
陈单江
曹聪
吴小英
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Tianyi Cloud Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L61/00—Network arrangements, protocols or services for addressing or naming
    • H04L61/09—Mapping addresses
    • H04L61/10—Mapping addresses of different types
    • H04L61/103—Mapping addresses of different types across network layers, e.g. resolution of network layer into physical layer addresses or address resolution protocol [ARP]

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Abstract

The application discloses a domain name resolution system, a domain name resolution method and domain name resolution equipment, which are used for enabling traffic scheduling to be more orderly. The CDN can acquire the flow parameter value of each IP address of each region aiming at each region corresponding to any domain name; determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local DNS corresponding to the region; the Local DNS can determine the responded target IP address based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name sent by a client, and based on the response probability, the purposes of more orderly flow scheduling and network fluency guarantee can be achieved.

Description

Domain name resolution system, method and equipment
Technical Field
The present application relates to the field of cloud computing technologies, and in particular, to a domain name resolution system, method, apparatus, device, and medium.
Background
Domain Name resolution refers to directing a Domain Name to an IP (Internet Protocol) address in a website space, that is, domain Name resolution refers to a conversion process from a Domain Name to an IP address, and Domain Name resolution is usually performed by a Domain Name Server (DNS).
Illustratively, when an object needs to access a network through a client, a domain name can be input in a browser, a domain name resolution request is triggered, after receiving the domain name resolution request, a DNS can determine each IP address corresponding to the domain name in a region where the client is located, and selects a target IP address from the IP addresses, thereby completing a domain name resolution process, and returning the selected target IP address to the client of the object. The object can be based on the target IP address, and the client side can access the server corresponding to the target IP address.
However, for the same domain name, when multiple objects trigger domain name resolution requests at the same time, if the target IP addresses returned by the clients of the multiple objects are all the same IP address, traffic may be congested, and the like, which may affect network fluency.
Therefore, how to select a target IP address from each IP address when performing domain name resolution is an urgent technical problem to be solved at present.
Disclosure of Invention
In order to make traffic scheduling more orderly, the application provides a domain name resolution system, a method, a device, equipment and a medium.
In a first aspect, the present application provides a domain name resolution system, including:
the content delivery network CDN is used for acquiring a flow parameter value of each IP address of each region aiming at each region corresponding to any domain name; determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local domain name server (Local DNS) corresponding to the region;
the Local DNS is used for receiving the response probability corresponding to each IP address and determining a target IP address for response based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name and sent by a client; sending the target IP address to the client; and the position of the client belongs to the area.
In a second aspect, the present application provides a domain name resolution method, where the method is applied to a content delivery network CDN, and the method includes:
aiming at each region corresponding to any domain name, acquiring a flow parameter value of each IP address of the region;
determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local domain name server (Local DNS) corresponding to the region, enabling the Local DNS to receive the response probability corresponding to each IP address, and enabling the Local DNS to determine a target IP address for response based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name sent by a client; causing the Local DNS to send the target IP address to the client; and the position of the client belongs to the area.
In a third aspect, the present application provides a domain name resolution method, which is applied to a Local domain name server Local DNS, and includes:
receiving response probability corresponding to each IP address sent by a Content Delivery Network (CDN); each IP address is of any region corresponding to any domain name; the response probability is based on the flow parameter value of each IP address and a set response proportion adjusting algorithm, and the response probability when the IP address is used for responding is determined aiming at each IP address;
when a domain name resolution request aiming at the domain name sent by a client is received, determining a target IP address for responding based on the response probability corresponding to each IP address; sending the target IP address to the client; and the position of the client belongs to the area.
In a fourth aspect, the present application provides a domain name resolution device, which is applied to a CDN and includes:
and the acquisition module is used for acquiring the flow parameter value of each IP address of each region aiming at each region corresponding to any domain name.
The determining module is used for determining the response probability when the IP address is used for responding according to each IP address based on the flow parameter value of each IP address and the set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local DNS corresponding to the region, enabling the Local DNS to receive the response probability corresponding to each IP address, and enabling the Local DNS to determine a target IP address for response based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name sent by a client; causing the Local DNS to send the target IP address to the client; and the position of the client belongs to the area.
In a fifth aspect, the present application provides a domain name resolution apparatus, which is applied to Local DNS, and includes:
the receiving module is used for receiving the response probability corresponding to each IP address sent by the CDN; each IP address is corresponding to each IP address of any region corresponding to any domain name; and the response probability is determined by aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm when the IP address is used for responding.
The response module is used for determining a target IP address for response based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name and sent by a client; sending the target IP address to the client; and the position of the client belongs to the area.
In a sixth aspect, the present application provides an electronic device, comprising: a processor, a memory;
the memory to store computer instructions;
the processor is used for reading the computer instructions and executing the method according to any one of the above items.
In a seventh aspect, the present application provides a computer-readable storage medium having stored thereon computer-executable instructions for causing a computer to perform the method of any of the above.
In an eighth aspect, the present application also provides a computer program product which, when invoked by a computer, causes the computer to perform the method of any one of the preceding claims.
The CDN can acquire the flow parameter value of each IP address of each region aiming at each region corresponding to any domain name; determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local DNS corresponding to the region; the Local DNS can determine the responded target IP address based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name sent by a client, and based on the response probability, the purposes of more orderly flow scheduling and network fluency guarantee can be achieved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings may be obtained according to the drawings without inventive labor.
Fig. 1 is a schematic diagram of a domain name resolution system according to an embodiment of the present application;
fig. 2 is a schematic diagram of a domain name resolution process according to an embodiment of the present application;
fig. 3 is a schematic diagram of a domain name resolution process according to an embodiment of the present application;
fig. 4 is a schematic view of another domain name resolution process provided in the embodiment of the present application;
fig. 5 is a schematic diagram of a domain name resolution apparatus according to an embodiment of the present application;
fig. 6 is a schematic diagram of another domain name resolution device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make traffic scheduling more orderly, embodiments of the present application provide a domain name resolution system, method, apparatus, device, and medium.
To make the purpose and embodiments of the present application clearer, the following will clearly and completely describe the exemplary embodiments of the present application with reference to the attached drawings in the exemplary embodiments of the present application, and it is obvious that the described exemplary embodiments are only a part of the embodiments of the present application, and not all the embodiments.
It should be noted that the brief descriptions of the terms in the present application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of the present application. These terms should be understood in their ordinary and customary meaning unless otherwise indicated.
The terms "first," "second," "third," and the like in the description and claims of this application and in the above-described drawings are used for distinguishing between similar or analogous objects or entities and not necessarily for describing a particular sequential or chronological order, unless otherwise indicated. It is to be understood that the terms so used are interchangeable under appropriate circumstances.
The terms "comprises" and "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a product or apparatus that comprises a list of elements is not necessarily limited to all elements expressly listed, but may include other elements not expressly listed or inherent to such product or apparatus.
The term "module" refers to any known or later developed hardware, software, firmware, artificial intelligence, fuzzy logic, or combination of hardware or/and software code that is capable of performing the functionality associated with that element.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and these modifications or substitutions do not depart from the scope of the technical solutions of the embodiments of the present application.
Example 1:
fig. 1 is a schematic diagram of a domain name resolution system according to an embodiment of the present application, where the system includes:
a Content Delivery Network (CDN) 11, configured to obtain, for each region corresponding to any domain name, a flow parameter value of each IP address of the region; determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; and sending the response probability corresponding to each IP address to a Local Domain Name server (Local DNS) 12 corresponding to the region;
the Local DNS 12 is configured to receive a response probability corresponding to each IP address, and determine a target IP address to be responded based on the response probability corresponding to each IP address when receiving a domain name resolution request for the domain name sent by a client; sending the target IP address to the client; and the position of the client belongs to the area.
In one possible implementation, to make the traffic scheduling more orderly, the CDN 11 and the Local DNS 12 may be interworked with each other to achieve accurate traffic scheduling. Optionally, the CDN 11 may obtain, for each region corresponding to any domain name, a traffic parameter value of each IP address (node) of the region. For example, traffic parameter values such as a bandwidth load rate and a health value of each IP address (node) may be acquired by the bandwidth load acquisition device, and the CDN 11 may acquire the traffic parameter values. Optionally, the bandwidth load collecting device may be included in the CDN 11, or may be another device independent of the CDN 11, which is not specifically limited in this application. In addition, the prior art may be adopted to acquire flow parameter values such as bandwidth load rate, health value, etc. of each IP address (node), which is not specifically limited in this application, for example, taking the acquisition of the health value of an IP address (node), health check may be performed on each IP address (node) periodically according to a set time period, so as to obtain the health value of each IP address (node).
After obtaining the flow parameter value of each IP address of each area corresponding to any domain name, the CDN 11 may determine, for each IP address, a response probability when responding with the IP address based on the flow parameter value of each IP address and a set response ratio adjustment algorithm. In a possible implementation manner, when determining the response probability for responding to any IP address in any region, the sum and average of the traffic parameter values of the IP addresses in the region may be determined, then, for each IP address, the difference between the average and the traffic parameter value of the IP address may be determined, and the response probability for responding to the IP address may be determined based on the ratio of the difference to the sum. For example, when determining the response probability, an initial probability value corresponding to each IP address may be determined according to the number of each IP address; and then, for each IP address, determining the response probability when the IP address is used for responding based on the initial probability value and the ratio of the difference value corresponding to the IP address to the sum value.
For ease of understanding, the process of determining the probability of response provided herein is illustrated in the form of a formula.
Assume that for a domain name, the domain name has n IP addresses (nodes) in common in a certain region. The specific value of n is not specifically limited in the present application, and may be flexibly set according to requirements, and optionally, n may be any positive integer not greater than 14. The value of the flow parameter for each IP address is denoted L (i), where i is 1,2,3, \8230; \8230, n.
The sum of the flow parameter values of each IP address is sum (L (1) + L (2) + L (3) + \8230; + L (n));
the average value of the flow parameter values of all IP addresses is avg (L (1) + L (2) + L (3) + \8230; + L (n));
the initial probability value corresponding to each IP address is 1/n;
for each IP address, the probability of reply at that IP address
Figure BDA0003784189450000071
In one possible embodiment, the probability of response P may be no greater than 1, i.e., 0 ≦ P ≦ 1.
In one possible embodiment, the traffic parameter value may include at least one of a bandwidth load rate and a health value, that is, the traffic parameter value may include only the bandwidth load rate, only the health value, and both the bandwidth load rate and the health value.
For convenience of understanding, the following description will first exemplify how to determine the above-mentioned acknowledgement probability when only the bandwidth load rate is included in the traffic parameter value. The process of determining the probability of response in the present application is still explained in terms of formula behavior.
Assume that for a domain name, the domain name has n IP addresses (nodes) in common in a certain region. The traffic parameter value, i.e. the bandwidth load rate, for each IP address is a load (i) representation, where i is 1,2,3, \8230 \8230n.
The sum of the flow parameter values of each IP address is sum (load (1) + load (2) + load (3) + \8230; + load (n));
the average value of the flow parameter values of all IP addresses is avg (load (1) + load (2) + load (3) + \8230; + load (n));
the initial probability value corresponding to each IP address is 1/n;
for each IP address, the probability of reply at that IP address
Figure BDA0003784189450000081
In a possible implementation manner, if the traffic parameter value includes a bandwidth load amount and a health value, when the traffic parameter value of the IP address is determined for each IP address, the traffic parameter value of the IP address may be determined based on the bandwidth load amount, the health value of the IP address and a set traffic parameter determination algorithm. For example, for each IP address, the traffic parameter value of the IP address may be determined according to the maximum value of the bandwidth load rate and the health value of the IP address, that is, the maximum value of the bandwidth load rate and the health value of the IP address may be determined as the traffic parameter value of the IP address.
In addition, when determining the traffic parameter value of the IP address, the traffic parameter value of the IP address may also be determined according to the minimum value of the bandwidth load rate and the health value of the IP address, that is, the minimum value of the bandwidth load rate and the health value of the IP address may be determined as the traffic parameter value of the IP address.
In addition, when determining the traffic parameter value of the IP address, the traffic parameter value of the IP address may also be determined according to an average value of the bandwidth load rate and the health value of the IP address, that is, the average value of the bandwidth load rate and the health value of the IP address may be determined as the traffic parameter value of the IP address.
When determining the traffic parameter value of the IP address, the traffic parameter value of the IP address may be determined according to the bandwidth load rate of the IP address, the set bandwidth load rate weight coefficient, the health value, and the set health value weight coefficient. For example, a first product of the bandwidth load rate of the IP address and the set bandwidth load rate weight coefficient (for convenience of description, the product of the bandwidth load rate and the bandwidth load rate weight coefficient is referred to as a first product) and a second product of the health value of the IP address and the set health value weight coefficient (for convenience of description, the product of the health value and the health value weight coefficient is referred to as a second product), and then the sum of the first product and the second product may be determined as the traffic parameter value of the IP address.
In a possible embodiment, the CDN 11 determines, for each IP address, a response probability when responding with the IP address based on a traffic parameter value of each IP address and a set response ratio adjustment algorithm, and then may send the response probability corresponding to each IP address to a corresponding Local domain name server (Local DNS 12).
After receiving the response probability corresponding to each IP address sent by the CDN 11, the Local DNS 12 may store the response probability corresponding to each IP address. When receiving a domain name resolution request for a domain name sent by a client belonging to a Local area, the Local DNS 12 may determine a target IP address for responding based on a response probability corresponding to each IP address, and respond based on the target IP address, that is, may send the target IP address to the client.
In one possible implementation, the process of determining the target IP address to reply based on the reply probability corresponding to each IP address by the Local DNS 12 may be as follows:
firstly, the Local DNS 12 may normalize the response probability corresponding to each IP address, and generate a random number value subinterval corresponding to each IP address based on the magnitude of the response probability corresponding to each IP address; and random number value subintervals corresponding to the IP addresses are not overlapped. The Local DNS 12 may generate a target random number that does not exceed the total length of each random number value subinterval based on a set random number generation algorithm (for convenience of description, the generated random number is referred to as a target random number).
Then, the Local DNS 12 may determine a target random number value subinterval to which the target random number belongs (for convenience of description, the random number value subinterval to which the target random number belongs is referred to as a target random number value subinterval), and determine an IP address corresponding to the target random number value subinterval as a target IP address for response.
For convenience of understanding, the process of determining a destination IP address provided herein is illustrated by a specific embodiment.
For a certain domain name (client domain name), each IP address (node) that the domain name provides service in each region is preconfigured. Illustratively, for a domain name, assume that each IP address configured in the north area is 1.1.1.1, 2.2.2.2, and 3.3.3.3, respectively, and each IP address configured in the wide area is 4.4.4.4, 5.5.5.5, and 6.6.6.6, respectively. The following is an example of the north region.
For the north area, the initial probability value corresponding to each IP address is 33.33%.
Referring to fig. 2, fig. 2 is a schematic diagram of a domain name resolution process provided in this embodiment, assuming that a traffic parameter value is a bandwidth load rate, and for a certain area north, the bandwidth load rate of each IP address of the area is as follows:
1.1.1.1 the bandwidth load rate of this IP address (node) is 100% (heavily overloaded);
2.2.2.2 the bandwidth load rate of this IP address (node) is 50% (normal load);
3.3.3 bandwidth load rate of this IP address (node) is 80% (normal overload).
For example, when determining the response probability in response to each IP address based on the traffic parameter value of each IP address and the set response ratio adjustment algorithm, the response ratio of 1.1.1.1 IP address (node) may be adjusted from 33.33% to 10%, the response ratio of 2.2.2.2 IP address (node) may be adjusted from 33.33% to 60%, and the response ratio of 3.3.3.3 IP address (node) may be adjusted from 33.33% to 30%.
The CDN 11 may send the response probability corresponding to each IP address in the north certain area to the Local DNS 12 corresponding to the north certain area. Local DNS 12 corresponding to this region may receive and load the configuration of the probability of response corresponding to each IP address.
When a client belonging to the north sends a domain name resolution request for the domain name to a Local DNS 12 corresponding to the north, the Local DNS 12 may determine a target IP address for responding based on a response probability corresponding to each IP address of the north.
For example, suppose that the response probability corresponding to each IP address in a certain area is normalized, and based on the magnitude of the response probability corresponding to each IP address, when the random number value subinterval corresponding to each IP address is generated, the random number value subinterval corresponding to 1.1.1.1 is [0,0.1], the random number value subinterval corresponding to 2.2.2.2 is (0.1, 0.7], and the random number value subinterval corresponding to 3.3.3 is (0.7, 1.0].
Assuming that the generated target random number is 0.6 based on the set random number generation algorithm, the target random number value subinterval to which the target random number belongs is (0.1, 0.7), and an IP address corresponding to the target random number value subinterval, that is, 2.2.2.2, can be determined as the target IP address for responding.
The CDN can acquire the flow parameter value of each IP address of each region aiming at each region corresponding to any domain name; determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local DNS corresponding to the region; the Local DNS can determine the responded target IP address based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name sent by a client, and based on the response probability, the purposes of more orderly flow scheduling and network fluency guarantee can be achieved.
In addition, when the Local DNS receives a domain name resolution request sent by a client and performs domain name resolution, the Local DNS can perform domain name resolution directly based on locally stored (configured) response probabilities corresponding to each IP address, and determine a target IP address to which a response is performed.
In addition, for the same domain name, when a plurality of large objects trigger domain name resolution requests at the same time, and domain name resolution is performed based on the domain name resolution process in the embodiment of the present application, the actual bandwidth proportion of each IP address (node) can be expected to be consistent with the response probability of each IP address, compared with the related art, if a plurality of large objects trigger domain name resolution requests at the same time, the target IP addresses returned to the clients of the plurality of large objects may all be the same IP address, which may cause traffic congestion and the like, and affect the network fluency, the embodiment of the present application may determine the response probability of each IP address based on the flow parameter value of each IP address, and determine a suitable target IP address based on the response probability, thereby making the traffic scheduling proportion finer and the bandwidth control more stable.
Example 2:
based on the same technical concept, the present application provides a domain name resolution method, which is applied to a CDN, and referring to fig. 3, fig. 3 is a schematic diagram of a domain name resolution process provided in an embodiment of the present application, where the process includes the following steps:
s301: and aiming at each region corresponding to any domain name, acquiring the flow parameter value of each IP address of the region.
S302: determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local DNS corresponding to the region, enabling the Local DNS to receive the response probability corresponding to each IP address, and enabling the Local DNS to determine a target IP address for response based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name sent by a client; causing the Local DNS to send the target IP address to the client; and the position of the client belongs to the area.
In one possible embodiment, the determining, for each IP address, a response probability in response to the IP address based on the flow parameter value of each IP address and the set response ratio adjustment algorithm includes:
determining the sum value and the average value of the flow parameter values of all IP addresses;
and determining the difference value of the average value and the flow parameter value of the IP address aiming at each IP address, and determining the response probability when the IP address is used for responding based on the ratio of the difference value to the sum value.
In a possible embodiment, the determining, based on the ratio of the difference value to the sum value, a response probability in responding to the IP address includes:
determining an initial probability value corresponding to each IP address according to the number of each IP address;
and for each IP address, determining the response probability when the IP address is used for responding based on the initial probability value and the ratio of the difference value corresponding to the IP address to the sum value.
In one possible implementation, the flow parameter values include: at least one of a bandwidth load rate, a health value.
In a possible implementation manner, if the traffic parameter value includes a bandwidth load amount and a health value, the obtaining a traffic parameter value of each IP address of the area includes:
and for each IP address, determining a flow parameter value of the IP address based on the bandwidth load capacity and the health value of the IP address and a set flow parameter determination algorithm.
In a possible implementation, the determining a traffic parameter value of the IP address based on the bandwidth load amount, the health value, and the set traffic parameter determination algorithm of the IP address includes:
for each IP address, determining a flow parameter value of the IP address based on any one of the following modes:
determining a flow parameter value of the IP address according to the maximum value of the bandwidth load rate and the health value of the IP address; or,
determining a flow parameter value of the IP address according to the minimum value of the bandwidth load rate and the health value of the IP address; or,
determining the flow parameter value of the IP address according to the average value of the bandwidth load rate and the health value of the IP address; or,
and determining the flow parameter value of the IP address according to the bandwidth load rate of the IP address, the set bandwidth load rate weight coefficient, the health value and the set health value weight coefficient.
Based on the same technical concept, the present application provides a domain name resolution method, which is applied to Local DNS, with reference to fig. 4, where fig. 4 is another schematic diagram of a domain name resolution process provided in the embodiment of the present application, the process includes the following steps:
s401: receiving response probability corresponding to each IP address sent by the CDN; each IP address is corresponding to each IP address of any region corresponding to any domain name; and the response probability is determined by aiming at each IP address and based on the flow parameter value of each IP address and a set response proportion adjusting algorithm when the IP address is used for responding.
S402: when a domain name resolution request aiming at the domain name sent by a client is received, determining a target IP address for responding based on the response probability corresponding to each IP address; sending the target IP address to the client; and the position of the client belongs to the area.
In a possible implementation manner, the determining, based on the response probability corresponding to each IP address, a target IP address to respond to includes:
normalizing the response probability corresponding to each IP address, and generating a random number value subinterval corresponding to each IP address based on the magnitude of the response probability corresponding to each IP address; wherein, the random number value subintervals corresponding to the IP addresses are not overlapped;
generating a target random number which does not exceed the total length of the random number value subinterval based on a set random number generation algorithm;
determining a target random number value subinterval to which the target random number belongs;
and determining the IP address corresponding to the target random number value subinterval as the target IP address for responding.
Example 3:
based on the same technical concept, the present application provides a domain name resolution device, which is applied to a CDN, and referring to fig. 5, fig. 5 is a schematic diagram of a domain name resolution device provided in an embodiment of the present application, where the device includes:
the obtaining module 51 is configured to obtain, for each region corresponding to any domain name, a flow parameter value of each IP address of the region.
A determining module 52, configured to determine, for each IP address, a response probability when a response is performed with the IP address based on a flow parameter value of each IP address and a set response ratio adjustment algorithm; sending the response probability corresponding to each IP address to a Local DNS corresponding to the region, enabling the Local DNS to receive the response probability corresponding to each IP address, and enabling the Local DNS to determine a target IP address for response based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name sent by a client; causing the Local DNS to send the target IP address to the client; and the position of the client belongs to the area.
In a possible implementation, the determining module 52 is specifically configured to:
determining the sum value and the average value of the flow parameter values of all IP addresses;
and determining the difference value of the average value and the flow parameter value of the IP address aiming at each IP address, and determining the response probability when the IP address is used for responding based on the ratio of the difference value to the sum value.
In a possible implementation, the determining module 52 is specifically configured to:
determining an initial probability value corresponding to each IP address according to the number of each IP address;
and for each IP address, determining the response probability when the IP address is used for responding based on the initial probability value and the ratio of the difference value corresponding to the IP address to the sum value.
In one possible embodiment, the flow parameter values include: at least one of a bandwidth load rate, a health value.
In a possible implementation manner, if the traffic parameter value includes a bandwidth load and a health value, the obtaining module 51 is specifically configured to:
and for each IP address, determining a flow parameter value of the IP address based on the bandwidth load capacity and the health value of the IP address and a set flow parameter determination algorithm.
In a possible implementation, the obtaining module 51 is specifically configured to:
for each IP address, determining a flow parameter value of the IP address based on any one of the following modes:
determining a flow parameter value of the IP address according to the maximum value of the bandwidth load rate and the health value of the IP address; or,
determining a flow parameter value of the IP address according to the minimum value of the bandwidth load rate and the health value of the IP address; or,
determining the flow parameter value of the IP address according to the average value of the bandwidth load rate and the health value of the IP address; or,
and determining the flow parameter value of the IP address according to the bandwidth load rate of the IP address, the set bandwidth load rate weight coefficient, the health value and the set health value weight coefficient.
Based on the same technical concept, the present application provides another domain name resolution device, which is applied to Local DNS, with reference to fig. 6, where fig. 6 is a schematic diagram of another domain name resolution device provided in an embodiment of the present application, and the device includes:
a receiving module 61, configured to receive a response probability corresponding to each IP address sent by the CDN; each IP address is of any region corresponding to any domain name; and the response probability is determined by aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm when the IP address is used for responding.
The response module 62 is configured to, when receiving a domain name resolution request for the domain name sent by a client, determine a target IP address for responding based on a response probability corresponding to each IP address; sending the target IP address to the client; and the position of the client belongs to the area.
In a possible implementation, the response module 62 is specifically configured to:
normalizing the response probability corresponding to each IP address, and generating a random number value subinterval corresponding to each IP address based on the response probability corresponding to each IP address; wherein, the random number value subintervals corresponding to the IP addresses are not overlapped with each other;
generating a target random number which does not exceed the total length of the random number value subinterval based on a set random number generation algorithm;
determining a target random number value subinterval to which the target random number belongs;
and determining the IP address corresponding to the target random number value subinterval as the target IP address for responding.
Example 4:
based on the same technical concept, the application provides an electronic device. Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application, as shown in fig. 7, including: the system comprises a processor 71, a communication interface 72, a memory 73 and a communication bus 74, wherein the processor 71, the communication interface 72 and the memory 73 are communicated with each other through the communication bus 74;
the memory 73 has stored therein a computer program which, when executed by the processor 71, causes the processor 71 to perform the steps of:
aiming at each region corresponding to any domain name, acquiring a flow parameter value of each IP address of the region;
determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local DNS corresponding to the region, enabling the Local DNS to receive the response probability corresponding to each IP address, and enabling the Local DNS to determine a target IP address for response based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name sent by a client; causing the Local DNS to send the target IP address to the client; and the position of the client belongs to the area.
In a possible implementation, the processor 71 is specifically configured to:
determining the sum value and the average value of the flow parameter values of all IP addresses;
and determining the difference value of the average value and the flow parameter value of the IP address aiming at each IP address, and determining the response probability when the IP address is used for responding based on the ratio of the difference value to the sum value.
In a possible implementation, the processor 71 is specifically configured to:
determining an initial probability value corresponding to each IP address according to the number of each IP address;
and for each IP address, determining the response probability when the IP address is used for responding based on the initial probability value and the ratio of the difference value corresponding to the IP address to the sum value.
In one possible implementation, the flow parameter values include: at least one of a bandwidth load rate, a health value.
In a possible implementation manner, if the traffic parameter value includes a bandwidth loading amount and a health value, the processor 71 is specifically configured to:
and for each IP address, determining a flow parameter value of the IP address based on the bandwidth load capacity and the health value of the IP address and a set flow parameter determination algorithm.
In a possible implementation, the processor 71 is specifically configured to:
for each IP address, determining a flow parameter value of the IP address based on any one of the following modes:
determining a flow parameter value of the IP address according to the maximum value of the bandwidth load rate and the health value of the IP address; or,
determining a flow parameter value of the IP address according to the minimum value of the bandwidth load rate and the health value of the IP address; or,
determining the flow parameter value of the IP address according to the average value of the bandwidth load rate and the health value of the IP address; or,
and determining the flow parameter value of the IP address according to the bandwidth load rate of the IP address, the set bandwidth load rate weight coefficient, the health value and the set health value weight coefficient.
In addition, the memory 73 has stored therein a computer program, which when executed by the processor 71, further causes the processor 71 to perform the steps of:
receiving response probability corresponding to each IP address sent by the CDN; each IP address is corresponding to each IP address of any region corresponding to any domain name; the response probability is based on the flow parameter value of each IP address and a set response proportion adjusting algorithm, and the response probability when the IP address is used for responding is determined aiming at each IP address;
when a domain name resolution request aiming at the domain name and sent by a client is received, determining a target IP address for responding based on the corresponding response probability of each IP address; sending the target IP address to the client; and the position of the client belongs to the area.
In a possible implementation, the processor 71 is specifically configured to:
normalizing the response probability corresponding to each IP address, and generating a random number value subinterval corresponding to each IP address based on the response probability corresponding to each IP address; wherein, the random number value subintervals corresponding to the IP addresses are not overlapped;
generating a target random number which does not exceed the total length of the random number value subinterval based on a set random number generation algorithm;
determining a target random number value subinterval to which the target random number belongs;
and determining the IP address corresponding to the target random number value subinterval as the target IP address for response.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface 72 is used for communication between the above-described electronic apparatus and other apparatuses.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Alternatively, the memory may be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a central processing unit, a Network Processor (NP), and the like; but may also be a Digital instruction processor (DSP), an application specific integrated circuit, a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc.
Example 5:
based on the same technical concept, embodiments of the present application provide a computer-readable storage medium, in which a computer program executable by an electronic device is stored, and when the program is run on the electronic device, the electronic device is caused to perform the following steps:
aiming at each region corresponding to any domain name, acquiring a flow parameter value of each IP address of the region;
determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local DNS corresponding to the region, enabling the Local DNS to receive the response probability corresponding to each IP address, and enabling the Local DNS to determine a target IP address for response based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name sent by a client; causing the Local DNS to send the target IP address to the client; and the position of the client belongs to the area.
In one possible embodiment, the determining, for each IP address, a response probability in response to the IP address based on the flow parameter value of each IP address and the set response ratio adjustment algorithm includes:
determining the sum value and the average value of the flow parameter values of all IP addresses;
and determining the difference value of the average value and the flow parameter value of the IP address aiming at each IP address, and determining the response probability when the IP address is used for responding based on the ratio of the difference value to the sum value.
In a possible embodiment, the determining, based on the ratio of the difference value to the sum value, a response probability in responding to the IP address includes:
determining an initial probability value corresponding to each IP address according to the number of each IP address;
and for each IP address, determining the response probability when the IP address is used for responding based on the initial probability value and the ratio of the difference value corresponding to the IP address to the sum value.
In one possible embodiment, the flow parameter values include: at least one of a bandwidth load rate, a health value.
In a possible implementation manner, if the traffic parameter value includes a bandwidth load amount and a health value, the obtaining a traffic parameter value of each IP address of the area includes:
and for each IP address, determining a flow parameter value of the IP address based on the bandwidth load capacity and the health value of the IP address and a set flow parameter determination algorithm.
In a possible implementation, the determining a traffic parameter value of the IP address based on the bandwidth load amount, the health value, and the set traffic parameter determination algorithm of the IP address includes:
for each IP address, determining a flow parameter value of the IP address based on any one of the following modes:
determining a flow parameter value of the IP address according to the maximum value of the bandwidth load rate and the health value of the IP address; or,
determining a flow parameter value of the IP address according to the minimum value of the bandwidth load rate and the health value of the IP address; or,
determining the flow parameter value of the IP address according to the average value of the bandwidth load rate and the health value of the IP address; or,
and determining the flow parameter value of the IP address according to the bandwidth load rate of the IP address, the set bandwidth load rate weight coefficient, the health value and the set health value weight coefficient.
In addition, the computer readable storage medium has stored therein a computer program executable by an electronic device, which when run on the electronic device, further causes the electronic device to perform the following steps:
receiving response probability corresponding to each IP address sent by the CDN; each IP address is of any region corresponding to any domain name; the response probability is determined by aiming at each IP address and based on the flow parameter value of each IP address and a set response proportion adjusting algorithm, and the response probability is determined when the IP address is used for responding;
when a domain name resolution request aiming at the domain name sent by a client is received, determining a target IP address for responding based on the response probability corresponding to each IP address; sending the target IP address to the client; and the position of the client belongs to the area.
In a possible implementation manner, the determining, based on the response probability corresponding to each IP address, a target IP address to respond to includes:
normalizing the response probability corresponding to each IP address, and generating a random number value subinterval corresponding to each IP address based on the response probability corresponding to each IP address; wherein, the random number value subintervals corresponding to the IP addresses are not overlapped;
generating a target random number which does not exceed the total length of the random number value subinterval based on a set random number generation algorithm;
determining a target random number value subinterval to which the target random number belongs;
and determining the IP address corresponding to the target random number value subinterval as the target IP address for responding.
The computer readable storage medium may be any available medium or data storage device that can be accessed by a processor in an electronic device, including but not limited to magnetic memory such as floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc., optical memory such as CDs, DVDs, BDs, HVDs, etc., and semiconductor memory such as ROMs, EPROMs, EEPROMs, non-volatile memories (NAND FLASH), solid State Disks (SSDs), etc.
Based on the same technical concept, on the basis of the above embodiments, the present application provides a computer program product, which includes: computer program code for causing a computer to perform the steps of any of the methods described above when said computer program code is run on a computer.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (10)

1. A domain name resolution system, the system comprising:
the content delivery network CDN is used for acquiring a flow parameter value of each IP address of each region aiming at each region corresponding to any domain name; determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local domain name server (Local DNS) corresponding to the region;
the Local DNS is used for receiving the response probability corresponding to each IP address and determining a target IP address for response based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name and sent by a client; sending the target IP address to the client; and the position of the client belongs to the area.
2. The system of claim 1, wherein the CDN is specifically configured to:
determining the sum value and the average value of the flow parameter values of all IP addresses;
and determining the difference value of the average value and the flow parameter value of the IP address aiming at each IP address, and determining the response probability when the IP address is used for responding based on the ratio of the difference value to the sum value.
3. The system of claim 2, wherein the CDN is specifically configured to:
determining an initial probability value corresponding to each IP address according to the number of each IP address;
and for each IP address, determining the response probability when the IP address is used for responding based on the initial probability value and the ratio of the difference value corresponding to the IP address to the sum value.
4. The system of any of claims 1-3, wherein the flow parameter values comprise: at least one of a bandwidth load rate, a health value.
5. The system of claim 4, wherein if the traffic parameter values include bandwidth load and health value, the CDN is specifically configured to:
and for each IP address, determining a flow parameter value of the IP address based on the bandwidth load capacity and the health value of the IP address and a set flow parameter determination algorithm.
6. The system of claim 5, wherein the CDN is specifically configured to:
for each IP address, determining a flow parameter value of the IP address based on any one of the following modes:
determining a flow parameter value of the IP address according to the maximum value of the bandwidth load rate and the health value of the IP address; or,
determining a flow parameter value of the IP address according to the minimum value of the bandwidth load rate and the health value of the IP address; or,
determining the flow parameter value of the IP address according to the average value of the bandwidth load rate and the health value of the IP address; or,
and determining the flow parameter value of the IP address according to the bandwidth load rate of the IP address, the set bandwidth load rate weight coefficient, the health value and the set health value weight coefficient.
7. The system of claim 1, wherein the Local DNS is specifically configured to:
normalizing the response probability corresponding to each IP address, and generating a random number value subinterval corresponding to each IP address based on the magnitude of the response probability corresponding to each IP address; wherein, the random number value subintervals corresponding to the IP addresses are not overlapped;
generating a target random number which does not exceed the total length of the random number value subinterval based on a set random number generation algorithm;
determining a target random number value subinterval to which the target random number belongs;
and determining the IP address corresponding to the target random number value subinterval as the target IP address for responding.
8. A domain name resolution method is applied to a Content Delivery Network (CDN), and comprises the following steps:
aiming at each region corresponding to any domain name, acquiring a flow parameter value of each IP address of the region;
determining the response probability when the IP address is used for responding aiming at each IP address based on the flow parameter value of each IP address and a set response proportion adjusting algorithm; sending the response probability corresponding to each IP address to a Local domain name server (Local DNS) corresponding to the region, enabling the Local DNS to receive the response probability corresponding to each IP address, and enabling the Local DNS to determine a target IP address for response based on the response probability corresponding to each IP address when receiving a domain name resolution request aiming at the domain name sent by a client; causing the Local DNS to send the target IP address to the client; and the position of the client belongs to the area.
9. A domain name resolution method is applied to a Local domain name server (Local DNS), and comprises the following steps:
receiving response probability corresponding to each IP address sent by a Content Delivery Network (CDN); each IP address is corresponding to each IP address of any region corresponding to any domain name; the response probability is based on the flow parameter value of each IP address and a set response proportion adjusting algorithm, and the response probability when the IP address is used for responding is determined aiming at each IP address;
when a domain name resolution request aiming at the domain name and sent by a client is received, determining a target IP address for responding based on the corresponding response probability of each IP address; sending the target IP address to the client; and the position of the client belongs to the area.
10. An electronic device, comprising: a processor, a memory;
the memory to store computer instructions;
the processor, reading the computer instructions, performing the method of claim 8 or 9.
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