CN115967654A - Service data auditing method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention relates to the technical field of data auditing, and provides an auditing method, device, electronic equipment and storage medium for business data, wherein the method comprises the following steps: collecting IDC flow data of an Internet data center; analyzing the IDC flow data to obtain the IDC flow data of each client; auditing IDC service data ordered by each customer according to the IDC flow data of each customer. The embodiment of the invention conducts multidimensional data auditing by introducing the real-time IDC flow data of the client in the current network and the currently managed IDC business data ordered by the client, finds the problem of the IDC business data ordered by the client, sends the problem to operation and maintenance personnel for closed-loop management by dispatching orders, improves the quality of the IDC business data ordered by the client, and thus improves the operation and maintenance efficiency of the IDC business data.
Description
Technical Field
The invention relates to the technical field of data auditing, in particular to an auditing method and device of business data, electronic equipment and a storage medium.
Background
In order to improve the operation and maintenance efficiency of the IDC (Internet Data Center) customer service, it is a prerequisite that the IDC service Data ordered by the customer is accurate. Because a large amount of historical inventory IDC business data are not electronized in the early stage, some IDC businesses are still switched on through wires and a large amount of customer businesses need to be changed at present, the IDC business data ordered by customers are inaccurate. Therefore, there is a need to solve the problem of auditing IDC traffic data.
Disclosure of Invention
The invention provides a method and a device for auditing service data, electronic equipment and a storage medium, which are used for solving the auditing problem of IDC service data, and performing multidimensional data auditing by introducing real-time IDC flow data of a client in the current network and the currently managed IDC service data ordered by the client to find the problem of the IDC service data ordered by the client, and sending the problem to operation and maintenance personnel for closed-loop management by dispatching a list, so that the quality of the IDC service data ordered by the client is improved, and the operation and maintenance efficiency of the IDC service data is improved.
The invention provides a method for auditing service data, which comprises the following steps:
collecting IDC flow data of an internet data center;
analyzing the IDC flow data to obtain the IDC flow data of each client;
auditing IDC service data ordered by each customer according to the IDC flow data of each customer.
In one embodiment, the auditing IDC traffic data subscribed by each customer according to the IDC traffic data of each customer includes:
determining the daily average flow rate and the daily peak flow rate corresponding to the IDC flow data of each client according to the IDC flow data of each client;
and auditing IDC bandwidth subscribed by each customer by adopting the daily average flow rate and the daily peak flow rate of each customer, wherein IDC service data comprise the IDC bandwidth subscribed by the customer and a leased IP address.
In one embodiment, said auditing IDC bandwidth ordered by each said customer using said daily average flow rate and said daily peak flow rate for each said customer comprises:
auditing the daily average flow rate of each customer and the IDC bandwidth to determine the absence condition of the IDC bandwidth;
auditing the daily peak flow rate of each customer with the IDC bandwidth to determine the absence of the IP address.
In one embodiment, said auditing said average daily flow rate for each said customer with said IDC bandwidth to determine absence of said IDC bandwidth comprises:
comparing the daily average flow rate of the customer per day to the IDC bandwidth over a set period of time to determine a first number of days that the daily average flow rate is greater than the IDC bandwidth;
and if the first day number is greater than or equal to a set value, determining that the IDC bandwidth of the client is absent.
In one embodiment, said auditing said daily peak flow rate and said IDC bandwidth for each said customer to determine absence of said IP address comprises:
comparing the daily peak flow rate of the customer each day with the IDC bandwidth over the set time period to determine a second number of days that the daily peak flow rate is less than a set multiple of the IDC bandwidth;
and if the second number of days is larger than or equal to the set value, determining that the IP address of the client is missing.
In one embodiment, the analyzing the IDC traffic data to obtain IDC traffic data for each customer includes:
analyzing the IDC flow data to determine target IDC flow data which lacks the IP address;
and filtering the target IDC flow data to obtain the IDC flow data of each client.
In one embodiment, after auditing IDC traffic data subscribed by each customer according to IDC traffic data of each customer, the method includes:
if the audit result is that the IDC bandwidth is absent, generating a first work order based on the customer information of the customer and the IDC bandwidth, and sending the first work order to an operation and maintenance terminal;
and if the audit result is that the IP address is missing, generating a second work order based on the customer information of the customer, the IDC bandwidth and the IP address, and sending the second work order to the operation and maintenance terminal.
The invention also provides an auditing device for the service data, which comprises:
the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring IDC flow data of an internet data center;
the analysis module is used for analyzing the IDC flow data to acquire the IDC flow data of each client;
and the auditing module is used for auditing the IDC service data ordered by each customer according to the IDC flow data of each customer.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor implements any one of the above service data auditing methods when executing the program.
The present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of auditing business data as described in any of the above.
The method, the device, the electronic equipment and the storage medium for auditing the business data acquire IDC flow data of an Internet data center; analyzing the IDC flow data to obtain the IDC flow data of each client; auditing IDC service data ordered by each customer according to the IDC flow data of each customer. The embodiment of the invention conducts multidimensional data auditing by introducing the real-time IDC flow data of the client in the current network and the currently managed IDC business data ordered by the client, finds the problem of the IDC business data ordered by the client, sends the problem to operation and maintenance personnel for closed-loop management by dispatching orders, improves the quality of the IDC business data ordered by the client, and thus improves the operation and maintenance efficiency of the IDC business data.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a business data auditing method according to the present invention;
FIG. 2 is a second flowchart illustrating a business data auditing method according to the present invention;
FIG. 3 is a schematic structural diagram of an auditing apparatus for business data provided by the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The method, the apparatus, the electronic device and the storage medium for auditing business data according to the present invention are described below with reference to fig. 1 to 4.
Specifically, the present invention provides a method for auditing service data, and referring to fig. 1, fig. 1 is a schematic flow diagram of the method for auditing service data provided by the present invention.
The method for auditing the service data provided by the embodiment of the invention comprises the following steps:
it should be noted that an Internet Data Center (IDC) is an all-round service for enterprises and governments to establish a standardized telecom professional computer room environment by using existing Internet communication lines and bandwidth resources, and provide server hosting, leasing, related value-added and the like.
The embodiment of the invention mainly audits the IDC service data ordered by the client based on the comparison of two types of data, wherein one type is the IDC service data ordered by the client, and the other type is the IDC flow data of the client in real time in the current network.
The IDC service data subscribed by the client mainly comprises IDC bandwidth subscribed by the client and IP address leased by the client, wherein the IDC bandwidth refers to data transmission rate, and the quantity of the data transmitted in a specified time is generally in bps as a calculation unit.
It can be understood that the IDC service subscribed by the customer generally subscribes to the IDC bandwidth and the IP address respectively, but the IDC service subscribed by the customer needs to be available at the same time, and thus the data of the IDC service subscribed by the customer needs to be audited. If the IDC service data has the IDC bandwidth and the IP address at the same time, the range is considered to be correct, and whether the size of the specific bandwidth service and the number of the IP addresses are correct or not needs to be audited with the flow data of the client. If the client only has one of the IDC bandwidth or the IP address, the data is considered to be wrong, and a data reforming work order needs to be initiated.
The IDC flow data of the existing network real-time client is mainly acquired from equipment through a NetFlow protocol, for example, the original IDC flow data is acquired from IDC outlet equipment through the NetFlow protocol, data acquisition is generally performed once according to 1 hour or N hours, and the acquisition period can be automatically adjusted according to actual conditions.
after the IDC traffic data is collected, the IDC traffic data is analyzed to obtain the IDC traffic data of each client, specifically, the IDC traffic data is analyzed to determine the target IDC traffic data lacking the IP address, and then the target IDC traffic data is filtered to obtain the IDC traffic data of each client.
For example, referring to fig. 2, IDC traffic data for a customer is collected via NetFlow and is hosted to each customer via customer IP, with the following steps:
the method comprises the following steps: acquiring original IDC flow data from IDC outlet equipment through a NetFlow protocol;
step two: analyzing original IDC flow data, and modeling the IDC flow data to analyze a source IP and a target IP, wherein an IDC flow data model is shown in Table 1:
TABLE 1
| Field(s) | Type (B) |
| Source IP | Character(s) |
| Destination IP | Character(s) |
| Device ID | Character(s) |
| Equipment port | Character(s) |
| Other fields | Others |
Step three: and filtering the IDC traffic data according to the IP address of each client managed by the IDC service data, and filtering the traffic data only containing the IP address of the IDC client.
And (3) filtering rules: source IP = client IP address or destination IP = client IP address.
Step four: modeling the IDC traffic data of the clients based on the client dimensions to form the IDC traffic data of each client, wherein the IDC traffic data model of the clients is shown in a table 2:
TABLE 2
Step 300, auditing IDC service data ordered by each customer according to the IDC flow data of each customer.
After the IDC flow data of each customer is determined, auditing the IDC service data ordered by each customer based on the IDC flow data of each customer. Specifically, the daily average flow rate and the daily peak flow rate corresponding to the IDC flow data of each client are determined according to the IDC flow data of each client.
For example, the flow rate data of each acquisition cycle of each client every day is averaged according to the dimension of the client to form a client daily granularity average flow rate, namely a daily average flow rate, wherein the daily average flow rate is calculated by the following formula:
day-average flow rate = AVG (flow rate at 1 st acquisition point + flow rate at 2 nd acquisition point + \8230; + flow rate at nth acquisition point), where AVG () represents the averaging function.
The flow speed data of each client in each acquisition period every day is maximized according to the dimension of the client to form the daily granularity peak flow speed of the client, namely the daily peak flow speed, wherein the daily peak flow speed has the calculation formula as follows:
peak daily flowrates = Max (flowrates at 1 st acquisition point + flowrates at 2 nd acquisition point + \8230; + nth acquisition point flowrates), where Max () represents taking the maximum function.
And then auditing the IDC bandwidth ordered by each client by adopting the daily average flow rate and the daily peak flow rate of each client, determining the deficiency condition of the IDC bandwidth or the IP address based on the auditing result, and finally dispatching to operation and maintenance personnel of IDC service, wherein the operation and maintenance personnel revise the IDC bandwidth data according to the information.
The method for auditing the service data provided by the embodiment of the invention comprises the steps of collecting IDC flow data of an internet data center; analyzing the IDC flow data to obtain the IDC flow data of each client; and auditing IDC service data ordered by each customer according to the IDC flow data of each customer. The embodiment of the invention conducts multidimensional data auditing by introducing the real-time IDC flow data of the client in the current network and the currently managed IDC business data ordered by the client, finds the problem of the IDC business data ordered by the client, sends the problem to operation and maintenance personnel for closed-loop management by dispatching orders, improves the quality of the IDC business data ordered by the client, and thus improves the operation and maintenance efficiency of the IDC business data.
Based on the above embodiment, auditing IDC bandwidth ordered by each customer by using the daily average flow rate and the daily peak flow rate of each customer includes: auditing the daily average flow rate of each customer and the IDC bandwidth to determine the absence condition of the IDC bandwidth; auditing the daily peak flow rate of each customer with the IDC bandwidth to determine the absence of the IP address.
It should be noted that, the technical implementation scheme for determining IDC bandwidth loss is mainly determined by comparing the average daily flow rate in the IDC traffic data of the client with the IDC bandwidth in the IDC traffic data.
Specifically, in a set time period, comparing the daily average flow rate of each day of a client with the IDC bandwidth to determine the first day when the daily average flow rate is greater than the IDC bandwidth; and if the first day number is greater than or equal to the set value, determining that the IDC bandwidth of the client is absent.
For example, the implementation steps for determining IDC bandwidth loss are as follows:
(1) Taking a month as an auditing period, and acquiring the daily average flow rate of each day in the month;
(2) Comparing the daily average flow rate of each day of the client with the IDC bandwidth of the client by taking the client as a dimension, identifying that the daily average flow rate is greater than the IDC bandwidth, and recording the days of which the daily average flow rate is greater than the IDC bandwidth;
(3) A client is considered to have a lack of IDC bandwidth when the number of days that the average daily flow rate of the same client is greater than or equal to 60% of the IDC bandwidth in a month, for example, if the number of days that the average daily flow rate is greater than or equal to 18 days, assuming a month of 30 days, the IDC bandwidth of the client is considered to be missing. Because the flow rate of the client is only smaller than the subscribed IDC bandwidth, if the flow rate of the client is larger than the subscribed IDC bandwidth, the IDC bandwidth service is judged to have a missing part, and the missing part is the IDC bandwidth switched on the wire, the IDC bandwidth left historically or the change of service data caused by the service change.
It should be noted that, the technical implementation scheme for determining the IP address missing is mainly determined by comparing the daily peak flow rate in the client IDC traffic data with the IDC bandwidth in the IDC service data.
Specifically, in a set time period, the daily peak flow rate of each day of a client is compared with the IDC bandwidth to determine the second day when the daily peak flow rate is smaller than the IDC bandwidth of a set multiple; if the second number of days is greater than or equal to the set value, determining that the IP address of the client is missing.
For example, the implementation steps for determining the missing IP address are as follows:
(1) Taking a month as an auditing period, and acquiring the daily peak flow rate of each day in the month;
(2) Comparing the daily peak flow rate of the client with the IDC bandwidth of the client by taking the client as a dimension, identifying that the daily peak flow rate is less than 70% of the IDC bandwidth, and recording the days that the daily peak flow rate is less than 70% of the IDC bandwidth;
(3) And when the ratio of days with the peak flow rate of time day of the same client being less than 70% of the IDC bandwidth in one month is more than or equal to 60%, the IP address of the client is considered to be missing. Because the flow rate of the client is calculated after filtering according to the IP address of the client in the IDC service data, if the IP address of the client is less, the value of the peak flow rate is reduced, and when the peak flow rate of the client is less than 70% of the IDC bandwidth in most of time, the client can be judged to be caused by the missing IP address of the client.
The embodiment of the invention audits the daily average flow rate of each client and the IDC bandwidth to determine the deficiency condition of the IDC bandwidth, and audits the daily peak flow rate of each client and the IDC bandwidth to determine the deficiency condition of the IP address, thereby improving the quality of the IDC service data ordered by the clients and improving the operation and maintenance efficiency of the IDC service data.
Based on the above embodiment, after auditing IDC traffic data subscribed by each customer according to IDC traffic data of each customer, the method includes: if the audit result is that the IDC bandwidth is absent, generating a first work order based on the customer information of the customer and the IDC bandwidth, and sending the first work order to an operation and maintenance terminal; and if the IP address is missing in the audit result, generating a second work order based on the customer information of the customer, the IDC bandwidth and the IP address, and sending the second work order to the operation and maintenance terminal.
For example, if the audit result is that the IDC bandwidth is missing, the customer information and the IDC bandwidth service of the customer are dispatched to the operation and maintenance personnel of the IDC service in a work order mode, and the operation and maintenance personnel revise the IDC bandwidth data according to the information.
If the auditing result is that the IP address is missing, the client information, the IDC bandwidth of the client and the IP address of the client are dispatched to operation and maintenance personnel of IDC service in a work order mode, and the operation and maintenance personnel revise the IP address data of the client according to the information.
The embodiment of the invention sends the problem to the operation and maintenance personnel for closed-loop management through the order distribution, thereby improving the quality of IDC service data ordered by a client and improving the operation and maintenance efficiency of the IDC service data.
Further, referring to fig. 2, fig. 2 is a second schematic flow chart of the auditing method of business data provided by the present invention.
In the embodiment of the invention, the steps of auditing IDC service data are as follows:
(1) The method comprises the steps of obtaining IDC service data ordered by a customer, and collecting original IDC flow data from IDC outlet equipment through a NetFlow protocol;
(2) And auditing the IDC service data ordered by the customer, wherein if the IDC service data has the IDC bandwidth and the IP address at the same time, the range is considered to be correct, and whether the size of the specific bandwidth service and the number of the IP addresses are correct or not needs to be audited with the flow data of the customer. If the client only has one of the IDC bandwidth or the IP address, the data is considered to be wrong, and a data reforming work order needs to be initiated.
(3) And forming an IDC flow data model and a client IDC flow data model based on the IDC flow data, and calculating the daily average flow rate and the daily peak flow rate corresponding to the IDC flow data of each client.
(4) And auditing the daily average flow rate and IDC bandwidth of each client to determine the deficiency condition of the IDC bandwidth, for example, when the daily average flow rate of each client in a month is 60% longer than the IDC bandwidth of each client, the IDC bandwidth of each client is considered to be deficient, and a work order is dispatched to maintain IDC bandwidth service data.
(5) And auditing the daily peak flow rate and IDC bandwidth of each client to determine the missing condition of the IP address, for example, when the daily peak flow rate of each client in one month is less than the bandwidth value of each client by 70%, the IP address of each client is considered to be missing, and the work order is dispatched to maintain IDCIP address service data.
The embodiment of the invention audits the IDC service data of the client in the initial stage to determine the condition that the IDC bandwidth and the IP address of the client are lacked, and mainly performs the additional recording of a large amount of historical and legacy stock data through the order revision. Subsequently, with the increase of client data and services, IDC service data is found to have problems, mainly including a few historical remaining stock data, and a majority of IDC service data is services switched on-line and changes of IDC service data caused by service change. Therefore, the accuracy of IDC service data of the client is improved, and efficient and accurate operation and maintenance of IDC for the client service are ensured.
Fig. 3 is a schematic structural diagram of an auditing device of business data provided by the present invention, and referring to fig. 3, an embodiment of the present invention provides an auditing device of business data, which includes an acquisition module 301, an analysis module 302, and an auditing module 303.
The acquisition module 301 is used for acquiring internet data center IDC traffic data;
an analyzing module 302, configured to analyze the IDC traffic data to obtain IDC traffic data of each client;
an auditing module 303, configured to audit the IDC service data subscribed by each customer according to the IDC traffic data of each customer.
The auditing device for the business data provided by the embodiment of the invention collects IDC flow data of an internet data center; analyzing the IDC flow data to obtain the IDC flow data of each client; and auditing IDC service data ordered by each customer according to the IDC flow data of each customer. The embodiment of the invention conducts multidimensional data auditing by introducing the real-time IDC flow data of the client in the current network and the currently managed IDC business data ordered by the client, finds the problem of the IDC business data ordered by the client, sends the problem to operation and maintenance personnel for closed-loop management by dispatching orders, improves the quality of the IDC business data ordered by the client, and thus improves the operation and maintenance efficiency of the IDC business data.
In one embodiment, the auditing module 303 is specifically configured to:
determining the daily average flow rate and the daily peak flow rate corresponding to the IDC flow data of each client according to the IDC flow data of each client;
auditing IDC bandwidth subscribed by each customer by adopting the daily average flow rate and the daily peak flow rate of each customer, wherein the IDC service data comprises the IDC bandwidth subscribed by the customer and a leased IP address.
In one embodiment, the auditing module 303 is specifically configured to:
auditing the daily average flow rate of each customer and the IDC bandwidth to determine the absence condition of the IDC bandwidth;
auditing the daily peak flow rate of each customer with the IDC bandwidth to determine the absence of the IP address.
In one embodiment, the auditing module 303 is specifically configured to:
comparing the daily average flow rate of the customer per day to the IDC bandwidth over a set period of time to determine a first number of days that the daily average flow rate is greater than the IDC bandwidth;
and if the first day number is greater than or equal to a set value, determining the absence of the IDC bandwidth of the client.
In one embodiment, the auditing module 303 is specifically configured to:
comparing the daily peak flow rate per day of the customer to the IDC bandwidth over the set time period to determine a second number of days that the daily peak flow rate is less than a set multiple of the IDC bandwidth;
and if the second number of days is larger than or equal to the set value, determining that the IP address of the client is missing.
In an embodiment, the analysis module 302 is specifically configured to:
analyzing the IDC flow data to determine target IDC flow data which lacks the IP address;
and filtering the target IDC flow data to obtain the IDC flow data of each client.
In one embodiment, the auditing module 303 is further configured to:
if the checking result is that the IDC bandwidth is absent, generating a first work order based on the customer information of the customer and the IDC bandwidth, and sending the first work order to an operation and maintenance terminal;
and if the audit result is that the IP address is missing, generating a second work order based on the customer information of the customer, the IDC bandwidth and the IP address, and sending the second work order to the operation and maintenance terminal.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor) 410, a communication interface (communications interface) 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 are in communication with each other via the communication bus 440. The processor 410 may invoke logic instructions in the memory 430 to perform a method of auditing business data, the method comprising:
collecting IDC flow data of an internet data center;
analyzing the IDC flow data to obtain the IDC flow data of each client;
auditing IDC service data ordered by each customer according to the IDC flow data of each customer.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to execute a method for auditing business data provided by the above methods, the method comprising:
collecting IDC flow data of an internet data center;
analyzing the IDC flow data to obtain the IDC flow data of each client;
and auditing IDC service data ordered by each customer according to the IDC flow data of each customer.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on the understanding, the above technical solutions substantially or otherwise contributing to the prior art may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for auditing business data is characterized by comprising the following steps:
collecting IDC flow data of an Internet data center;
analyzing the IDC flow data to obtain the IDC flow data of each client;
and auditing IDC service data ordered by each customer according to the IDC flow data of each customer.
2. The method for auditing service data according to claim 1, wherein said auditing service data of IDCs subscribed by each said customer based on IDC traffic data of each said customer comprises:
determining the daily average flow rate and the daily peak flow rate corresponding to the IDC flow data of each client according to the IDC flow data of each client;
and auditing IDC bandwidth subscribed by each customer by adopting the daily average flow rate and the daily peak flow rate of each customer, wherein IDC service data comprise the IDC bandwidth subscribed by the customer and a leased IP address.
3. The method for auditing traffic data according to claim 2 wherein said auditing IDC bandwidth subscribed to by each said customer using said daily average flow rate and said daily peak flow rate for each said customer comprises:
auditing the daily average flow rate of each customer and the IDC bandwidth to determine the absence condition of the IDC bandwidth;
auditing the daily peak flow rate of each customer with the IDC bandwidth to determine the absence of the IP address.
4. The method for auditing traffic data according to claim 3, wherein said auditing said average daily flow rate for each said customer with said IDC bandwidth to determine absence of said IDC bandwidth comprises:
comparing the daily average flow rate per day of the customer with the IDC bandwidth over a set period of time to determine a first number of days that the daily average flow rate is greater than the IDC bandwidth;
and if the first day number is greater than or equal to a set value, determining that the IDC bandwidth of the client is absent.
5. The method for auditing traffic data according to claim 4, wherein said auditing said daily peak flow rate and said IDC bandwidth for each said customer to determine absence of said IP address comprises:
comparing the daily peak flow rate per day of the customer to the IDC bandwidth over the set time period to determine a second number of days that the daily peak flow rate is less than a set multiple of the IDC bandwidth;
and if the second number of days is larger than or equal to the set value, determining that the IP address of the client is missing.
6. The method for auditing service data according to claim 2, wherein the analyzing the IDC traffic data to obtain IDC traffic data for each customer comprises:
analyzing the IDC flow data to determine target IDC flow data which lacks the IP address;
and filtering the target IDC flow data to obtain the IDC flow data of each client.
7. The method for auditing traffic data according to claim 3, wherein after auditing the IDC traffic data subscribed by each customer according to the IDC traffic data of each customer, the method comprises:
if the checking result is that the IDC bandwidth is absent, generating a first work order based on the customer information of the customer and the IDC bandwidth, and sending the first work order to an operation and maintenance terminal;
and if the audit result is that the IP address is missing, generating a second work order based on the customer information of the customer, the IDC bandwidth and the IP address, and sending the second work order to the operation and maintenance terminal.
8. An auditing apparatus for business data, comprising:
the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring IDC flow data of an internet data center;
the analysis module is used for analyzing the IDC flow data to acquire the IDC flow data of each client;
and the auditing module is used for auditing the IDC service data ordered by each customer according to the IDC flow data of each customer.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements a method of auditing traffic data according to any of claims 1 to 7.
10. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements a method of auditing traffic data according to any of claims 1-7.
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