CN112217672B - Service processing system for CDN platform - Google Patents
Service processing system for CDN platform Download PDFInfo
- Publication number
- CN112217672B CN112217672B CN202011064856.7A CN202011064856A CN112217672B CN 112217672 B CN112217672 B CN 112217672B CN 202011064856 A CN202011064856 A CN 202011064856A CN 112217672 B CN112217672 B CN 112217672B
- Authority
- CN
- China
- Prior art keywords
- service
- user
- maintenance
- cdn platform
- processing system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5003—Managing SLA; Interaction between SLA and QoS
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/083—Network architectures or network communication protocols for network security for authentication of entities using passwords
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
Abstract
The invention discloses a service processing system for a CDN platform, which comprises the CDN platform, a registration login module, a database, a user feedback unit, a fault alarm unit, a data input module and a service processing module, wherein the CDN platform constructs an intelligent virtual network through edge servers in various regions, acquires service information through the Internet, stores the acquired service information in each edge server, inputs an account password through the data input module for login, inputs the account password for login to the CDN platform by a user, matches the name of a service which the user needs to handle with the service information stored in the CDN platform, and calls data from the nearest server when the user handles the service to prevent network congestion and bring overlong waiting time to the user; the method reasonably distributes the processing time of the service, reduces the waiting time of all users, prevents the overtime handling of the users and improves the working efficiency.
Description
Technical Field
The invention relates to the technical field of service processing for a CDN platform, in particular to a service processing system for the CDN platform.
Background
The business processing system is also called a salesman information system, is a system for basic personnel to use, is an information system for pertinently supporting the business processing process, and can provide powerful tool support for completing certain work. The CDN is an intelligent virtual network constructed on the basis of the existing network, and by means of edge servers deployed in various places and through functional modules of load balancing, content distribution, scheduling and the like of a central platform, a user can obtain required content nearby, network congestion is reduced, the access response speed and the hit rate of the user are improved, and key technologies of the CDN mainly include content storage and distribution technologies.
A patent with publication number CN109088934A discloses a service processing system and a service processing method, which are used for improving the concurrent processing amount of service requests and realizing the flexible expansion and reconstruction of the service processing system structure; the service processing system in the application comprises: the intelligent interaction device comprises an intelligent interaction device, a user terminal, a service server and an operation and maintenance server, wherein the service server comprises a plurality of service modules, each service module is correspondingly deployed with a micro service, and the service server adopts a distributed micro service architecture or a distributed micro service and cluster deployment architecture.
However, in this patent, the service processing system cannot reasonably allocate the processing time to the user's processing time, which causes the user to overtime the transaction, and brings unnecessary trouble to the user.
Disclosure of Invention
The invention aims to provide a service processing system for a CDN platform, wherein the CDN platform constructs an intelligent virtual network through edge servers in various regions, acquires service information through the Internet, stores the acquired service information in each edge server, inputs an account password for login through a data input module, inputs the account password for login to the CDN platform, matches a service name required to be handled by a user with the service information stored in the CDN platform, and calls data from the nearest server when the user handles the service, so that the network waiting time is reduced, the network blocking is prevented, and overlong waiting time is brought to the user.
The purpose of the invention can be realized by the following technical scheme:
a service processing system for a CDN platform comprises the CDN platform, a registration login module, a database, a user feedback unit, a fault alarm unit, a data input module and a service processing module;
the service processing module is used for distributing and processing the service handled by the user according to the time data of the service, the time data of the service is represented by the expiration date of the service handled by the user and the date of the service handled by the user, and the specific distribution is as follows:
step one, acquiring an expiration date of a user handling service, comparing the expiration date of the user handling service with a current date, acquiring the time length of the current date from the service expiration date, and marking the time length of the current date from the service expiration date as Ti, wherein i =1.. Once.n;
step two, obtaining a date of the user handling the service, comparing the date of the user handling the service with the current date, obtaining a waiting time length after the user handles the service, and marking the waiting time length after the user handles the service as Pi, wherein i =1.. N;
comparing the time length Ti of the current date from the service to the date and the waiting time length Pi after the service is handled by the user with L1 and L2 respectively, wherein L1 is the time length threshold of the service from the service to the deadline and L2 is the waiting time length threshold after the service is handled;
if the time length Ti of the current date from the service to the date is more than L1, and the waiting time Pi of the service transacted by the user is more than L2, marking the service as a first-level service;
if the time length Ti of the current date from the service to the date is greater than L1, and the waiting time length Pi of the service transacted by the user is less than or equal to L2, marking the service as a second-level service;
if the time length Ti of the current date from the service to the date is less than or equal to L1 and the waiting time Pi of the service transacted by the user is more than L2, marking the service as a third-level service;
if the time length Ti of the current date from the service to the date is less than or equal to L1, and the waiting time Pi of the service transacted by the user is less than or equal to L2, marking the service as a fourth-level service;
and step four, sending the first-level service, the second-level service, the third-level service and the fourth-level service to the CDN platform, sequencing the first-level service, the second-level service, the third-level service and the fourth-level service according to the sequence of the levels from high to low by the CDN platform, sending the successfully-sequenced services to a service processing module, and processing the services by the service processing module according to the sequencing of the services.
Further, the registration login module is used for submitting user data and maintenance personnel data through mobile phone terminals by users and maintenance personnel, sending the user data and the maintenance personnel data which are successfully registered to a database for storage, sending login accounts to mobile phone terminals of the users and the maintenance personnel after the CDN platform receives the user data and the maintenance personnel data, setting passwords and login verification problems within t time after the users and the maintenance personnel receive the login accounts, sending the set passwords, the login verification problems and answers to the CDN platform for storage, setting a threshold value for t time, enabling the user data to comprise names, positions and mobile phone numbers authenticated by real names of the users, enabling the maintenance personnel data to comprise names, working time, mobile phone numbers authenticated by real names and maintenance types of the maintenance personnel, and enabling the maintenance types to comprise hardware maintenance and software maintenance.
Furthermore, the CDN platform is configured to construct an intelligent virtual network through edge servers in each region, obtain service information through the internet, store the obtained service information in each edge server, and send geographical locations of each edge server to the database for storage, where the service information includes a service type, a field to which the service relates, and a name of the service;
the data input module is used for logging in by a user through inputting an account password and matching a service name of the user with service information stored in the CDN platform, and the specific matching process is as follows:
s1, a user inputs an account password to log in a CDN platform, the CDN platform generates an identity authentication problem after receiving a login request of the user and sends the identity authentication problem to a mobile phone terminal of the user, the user sends an answer of the identity authentication problem to the CDN platform through the mobile phone terminal, and the CDN platform generates a login success signal after receiving the answer of the identity authentication problem;
s2, matching the business name to be handled by the user with the business information stored in the CDN platform, wherein the specific matching process is as follows:
s21, establishing a rectangular coordinate system by taking the geographic position of the user currently logging in the CDN platform as a center, and setting the coordinate as (X0, Y0);
s22, bringing the geographical position of each edge server into a rectangular coordinate system, and setting the coordinates as (X1, Y1),...., (Xn, yn);
s23, calculating the distance from each edge server to the geographic position where the user currently logs in the CDN platform through the Pythagorean theorem, and sequentially and correspondingly marking the distance as S1,... Multidot.Sn;
s24, establishing a coordinate system by taking the edge server as an X axis and taking the distance as a Y axis, bringing the distance from each edge server to the geographic position of the CDN platform currently logged in by the user into the coordinate system, forming a distance curve, selecting the lowest point, and marking the server corresponding to the lowest point as the selected server;
and S3, sending the selected server to the CDN platform, sending the service types stored in the selected server to a user mobile phone terminal after the CDN platform receives the selected server, and selecting the service types by the user through the mobile phone terminal and sending the selected service types to the service processing module.
Furthermore, the user feedback unit is used for detecting the processing speed of the service processing system through user feedback data, wherein the user feedback data comprises the number of bad comments of the users on the service processing system in one month, the number of registered new users and the number of system use times of old users;
p1: acquiring the bad comment quantity of a user on the service processing system, and marking the bad comment quantity of the user on the service processing system as Uv;
p2: acquiring the registration number of new users in one month, and marking the registration number of the new users in one month as Zv;
p3: acquiring the system use times of an old user in one month, and marking the system use times of the old user in one month as Sv;
p4: by the formula Tv = β (Uv × a1+ Zv × a2+ Sv × a 3) a1+a2+a3 Acquiring a processing speed coefficient Tv of a service processing system, wherein a1, a2 and a3 are all preset proportionality coefficients, a1+ a2+ a3=2.362541, a1 is greater than a2 is greater than a3, and beta is a correction factor and has a value of 2.365147;
p5: comparing the processing speed coefficient Tv of the service processing system with a processing speed coefficient threshold, if the processing speed coefficient Tv of the service processing system is greater than or equal to the processing speed coefficient threshold, judging that the processing speed of the service processing system is high, and if the processing speed coefficient Tv of the service processing system is less than the processing speed coefficient threshold, judging that the processing speed of the service processing system is low, generating a low-speed signal, and sending the low-speed signal to a fault alarm unit;
the fault alarm unit is used for receiving the slow speed signal and analyzing the fault, and marking the server as g, g =1.
T1: obtaining the available memory and running speed of the server, and marking them as Cg and Vg correspondingly, by formula
Calculating a hardware maintenance coefficient Tg, wherein b1 and b2 are preset proportionality coefficients, b1+ b2=2.31452, and e is a natural constant;
t2: obtaining the reaction time and the error reporting times of the service processing system, correspondingly marking the reaction time and the error reporting times as TU and CO, and obtaining the response time and the error reporting times of the service processing system through a formula
Calculating a software maintenance coefficient RR, wherein c1 and c2 are preset proportionality coefficients, and c1+ c2=2.365412;
t3: comparing the hardware maintenance coefficient Tg and the software maintenance coefficient RR with K1 and K2 respectively, wherein K1 is a hardware maintenance coefficient threshold value, and K2 is a software maintenance coefficient threshold value;
if the hardware maintenance coefficient Tg is larger than K1 and the software maintenance coefficient RR is larger than K2, judging that both hardware and software need maintenance, generating a hardware and software maintenance signal and respectively sending the hardware and software maintenance signal to mobile phone terminals of hardware maintenance personnel and software maintenance personnel;
if the hardware maintenance coefficient Tg is larger than K1 and the software maintenance coefficient RR is smaller than or equal to K2, judging that the hardware needs to be maintained, generating a hardware maintenance signal and sending the hardware maintenance signal to a mobile phone terminal of a hardware maintenance worker;
and if the hardware maintenance coefficient Tg is less than or equal to K1 and the software maintenance coefficient RR is more than K2, judging that the software needs to be maintained, generating a software maintenance signal and sending the software maintenance signal to a mobile phone terminal of a software worker.
Compared with the prior art, the invention has the beneficial effects that:
1. the CDN platform constructs an intelligent virtual network through edge servers of each region, acquires service information through the Internet, stores the acquired service information in each edge server, inputs an account password through a data input module for login, inputs the account password for login to the CDN platform by a user, matches a service name to be handled by the user with the service information stored in the CDN platform, and calls data of a server closest to the user when the user handles the service, so that the network waiting time is reduced, network blockage is prevented, and overlong waiting time is brought to the user;
2. the service processing module performs allocation processing on services handled by a user according to time data of the services, acquires the time from the current date to the date when the services are cut, acquires the date when the users handle the services, acquires the waiting time after the users handle the services by comparing the date when the users handle the services with the current date, divides the services into four grades of a first grade, a second grade, a third grade and a fourth grade, sends the first grade service, the second grade service, the third grade service and the fourth grade service to the CDN platform, the CDN platform sorts the first grade service, the second grade service, the third grade service and the fourth grade according to the sequence of the grades from high to low, and sends the successfully sorted services to the service processing module, the service processing module processes according to the sequence of the services, reasonably allocates processing time for the services, reduces the waiting time of all users, prevents overtime phenomenon of user handling, and improves the working efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1, a service processing system for a CDN platform includes a CDN platform, a registration login module, a database, a user feedback unit, a fault alarm unit, a data input module, and a service processing module;
the system comprises a registration login module, a database, a CDN platform, a database and a server, wherein the registration login module is used for submitting user data and maintenance personnel data through mobile phone terminals by a user and maintenance personnel and sending login accounts to the mobile phone terminals of the user and the maintenance personnel for storage, the CDN platform receives the user data and the maintenance personnel data and then sends the login accounts to the mobile phone terminals of the user and the maintenance personnel, the user and the maintenance personnel carry out password setting and login verification within t time after receiving the login accounts, the set password, the login verification problem and answers are sent to the CDN platform for storage, t is a time setting threshold value, the user data comprise names, positions and mobile phone numbers authenticated by real names of the user, the maintenance personnel data comprise names, working time, mobile phone numbers authenticated by real names and maintenance types of the maintenance personnel, and the maintenance types comprise hardware maintenance and software maintenance;
the CDN platform is used for constructing an intelligent virtual network through edge servers in each region, acquiring service information through the Internet, storing the acquired service information in each edge server, and sending the geographical position of each edge server to a database for storage, wherein the service information comprises a service type, a service related field and a service name;
the data input module is used for logging in by a user through inputting an account password and matching a service name of the user with service information stored in the CDN platform, and the specific matching process is as follows:
s1, a user inputs an account password to log in a CDN platform, the CDN platform generates an identity authentication problem after receiving a login request of the user and sends the identity authentication problem to a mobile phone terminal of the user, the user sends an answer of the identity authentication problem to the CDN platform through the mobile phone terminal, and the CDN platform generates a login success signal after receiving the answer of the identity authentication problem;
s2, matching the business name to be handled by the user with the business information stored in the CDN platform, wherein the specific matching process is as follows:
s21, establishing a rectangular coordinate system by taking the geographic position of the user currently logging in the CDN platform as a center, and setting the coordinate as (X0, Y0);
s22, bringing the geographical position of each edge server into a rectangular coordinate system, and setting the coordinates as (X1, Y1),...., (Xn, yn);
s23, calculating the distance from each edge server to the geographic position where the user currently logs in the CDN platform through the pythagorean theorem, and sequentially and correspondingly marking the distance as S1,... An.Sn;
s24, establishing a coordinate system by taking the edge server as an X axis and taking the distance as a Y axis, bringing the distance from each edge server to the geographic position of the user currently logged in the CDN platform into the coordinate system, forming a distance curve, selecting the lowest point, and marking the server corresponding to the lowest point as a selected server;
s3, sending the selected server to a CDN platform, sending the service types stored in the selected server to a user mobile phone terminal after the CDN platform receives the selected server, and enabling a user to select the service types through the mobile phone terminal and send the selected service types to a service processing module;
the service processing module is used for distributing and processing the service handled by the user according to the time data of the service, the time data of the service is represented by the deadline of the service handled by the user and the date of the service handled by the user, and the specific distribution is as follows:
step one, acquiring an expiration date of a user handling service, comparing the expiration date of the user handling service with a current date, acquiring the time length of the current date from the service expiration date, and marking the time length of the current date from the service expiration date as Ti, wherein i =1.. Once.n;
step two, obtaining a date of business handling by a user, comparing the date of business handling by the user with the current date, obtaining the waiting time after business handling by the user, and marking the waiting time after business handling by the user as Pi, wherein i =1.. Once.n;
comparing the time length Ti of the current date from the service to the date and the waiting time Pi after the service is handled by the user with L1 and L2 respectively, wherein L1 is a time length threshold of the service from the service to the deadline and L2 is a waiting time length threshold after the service is handled;
if the time length Ti of the current date from the service to the date is more than L1, and the waiting time length Pi of the service transacted by the user is more than L2, marking the service as a first-level service;
if the time length Ti of the current date from the service to the date is more than L1, and the waiting time length Pi after the user transacts the service is less than or equal to L2, marking the service as a second-level service;
if the time length Ti of the current date from the service to the date is less than or equal to L1, and the waiting time length Pi of the service transacted by the user is greater than L2, marking the service as a third-level service;
if the time length Ti of the current date from the service to the date is less than or equal to L1, and the waiting time length Pi of the service transacted by the user is less than or equal to L2, marking the service as a fourth-level service;
step four, sending the first-level service, the second-level service, the third-level service and the fourth-level service to a CDN platform, sequencing the first-level service, the second-level service, the third-level service and the fourth-level service according to the sequence of the levels from high to low by the CDN platform, sending the successfully-sequenced services to a service processing module, and processing the successfully-sequenced services by the service processing module according to the sequencing of the services;
the user feedback unit is used for detecting the processing speed of the service processing system through user feedback data, and the user feedback data comprises the number of the bad comments of the users to the service processing system, the number of the registered new users and the number of the system use times of the old users in one month;
p1: acquiring the bad comment quantity of a user on the service processing system, and marking the bad comment quantity of the user on the service processing system as Uv;
p2: acquiring the registration number of new users in one month, and marking the registration number of the new users in one month as Zv;
p3: acquiring the system use times of an old user in one month, and marking the system use times of the old user in one month as Sv;
p4: by the formula Tv = β (Uv × a1+ Zv × a2+ Sv × a 3) a1+a2+a3 Acquiring a processing speed coefficient Tv of a service processing system, wherein a1, a2 and a3 are all preset proportionality coefficients, a1+ a2+ a3=2.362541, a1 > a2 > a3, and beta is a correction factor, and the value is 2.365147;
p5: comparing the processing speed coefficient Tv of the business processing system with a processing speed coefficient threshold, if the processing speed coefficient Tv of the business processing system is not less than the processing speed coefficient threshold, judging that the processing speed of the business processing system is high, and if the processing speed coefficient Tv of the business processing system is less than the processing speed coefficient threshold, judging that the processing speed of the business processing system is low, generating a low-speed signal, and sending the low-speed signal to a fault alarm unit;
the fault alarm unit is used for receiving the slow speed signal and analyzing the fault, and marking the server as g, g =1.
T1: obtaining the available memory and running speed of the server, marking them as Cg and Vg correspondingly, and calculating the running speed of the server according to the formula
Calculating a hardware maintenance coefficient Tg, wherein b1 and b2 are preset proportionality coefficients, b1+ b2=2.31452, and e is a natural constant;
t2: obtaining the reaction time and the error reporting times of the service processing system, correspondingly marking the reaction time and the error reporting times as TU and CO, and obtaining the response time and the error reporting times of the service processing system through a formula
Calculating a software maintenance coefficient RR, wherein c1 and c2 are preset proportionality coefficients, and c1+ c2=2.365412;
t3: comparing the hardware maintenance coefficient Tg and the software maintenance coefficient RR with K1 and K2 respectively, wherein K1 is a hardware maintenance coefficient threshold value, and K2 is a software maintenance coefficient threshold value;
if the hardware maintenance coefficient Tg is larger than K1 and the software maintenance coefficient RR is larger than K2, judging that both hardware and software need maintenance, generating a hardware and software maintenance signal and respectively sending the hardware and software maintenance signal to mobile phone terminals of hardware maintenance personnel and software maintenance personnel;
if the hardware maintenance coefficient Tg is larger than K1 and the software maintenance coefficient RR is smaller than or equal to K2, judging that the hardware needs to be maintained, generating a hardware maintenance signal and sending the hardware maintenance signal to a mobile phone terminal of a hardware maintenance worker;
if the hardware maintenance coefficient Tg is less than or equal to K1 and the software maintenance coefficient RR is greater than K2, judging that the software needs to be maintained, generating a software maintenance signal and sending the software maintenance signal to a mobile phone terminal of a software worker;
the prediction unit is used for predicting the service processing system, obtaining the maintenance times and maintenance interval duration of the service processing system in one month, correspondingly marking the maintenance times and the maintenance interval duration as CC and TT, obtaining a prediction coefficient YC through a formula YC = eta (CC × m1+ TT × m 2), wherein m1 and m2 are both preset proportionality coefficients, m1+ m2=1.3256, eta is a correction factor, the value is 2.36512, comparing the prediction coefficient YC with the prediction coefficient of the previous two months, if the prediction coefficient is in a descending trend, determining that the service processing system does not need shutdown maintenance, and if the prediction coefficient is in an ascending trend, determining that the service processing system needs shutdown maintenance.
The working principle of the invention is as follows: the CDN platform constructs an intelligent virtual network through edge servers of each region, acquires service information through the Internet, stores the acquired service information in each edge server, inputs an account password through a data input module for logging in, inputs the account password for logging in the CDN platform, matches a service name required to be handled by a user with the service information stored in the CDN platform, and establishes a rectangular coordinate system by taking the current geographic position of the user for logging in the CDN platform as a center; bringing the geographic position of each edge server into a rectangular coordinate system; calculating the distance from each edge server to the geographic position of the user currently logging in the CDN platform by the pythagorean theorem, establishing a coordinate system by taking the edge server as an X axis and the distance as a Y axis, bringing the distance from each edge server to the geographic position of the user currently logging in the CDN platform into the coordinate system, forming a distance curve, selecting the lowest point, and marking the server corresponding to the lowest point as a selected server; the selected server is sent to the CDN platform, the CDN platform receives the selected server and then sends the service types stored in the selected server to a user mobile phone terminal, and a user selects the service types through the mobile phone terminal and sends the selected service types to a service processing module;
the method comprises the steps that a service processing module carries out distribution processing on services handled by a user according to time data of the services, the time length of the current date from the service to the date is obtained, the date of the service handled by the user is obtained, the waiting time length after the service handled by the user is obtained by comparing the date of the service handled by the user with the current date, the time length Ti of the current date from the service to the date and the waiting time length Pi after the service handled by the user are respectively compared with L1 and L2, the services are divided into four levels of a first level, a second level, a third level and a fourth level, the first level service, the second level service, the third level service and the fourth level service are sent to a CDN platform, the CDN platform sorts the first level service, the second level service, the third level service and the fourth level according to the order of the levels from high to low, the successfully sorted services are sent to the service processing module, and the service processing module processes according to the sorting of the services.
The above formulas are all dequantization and numerical calculation, the formula is a formula for obtaining the latest real situation by software simulation of collected mass data, and the preset parameters in the formula are set by the technical personnel according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (3)
1. A service processing system for a CDN platform is characterized by comprising the CDN platform, a registration login module, a database, a user feedback unit, a fault alarm unit, a data input module and a service processing module;
the service processing module is used for distributing and processing the service handled by the user according to the time data of the service, the time data of the service is represented by the expiration date of the service handled by the user and the date of the service handled by the user, and the specific distribution is as follows:
step one, acquiring an expiration date of a user handling service, comparing the expiration date of the user handling the service with a current date, acquiring the time length of the current date from the service expiration date, and marking the time length of the current date from the service expiration date as Ti, wherein i =1.
Step two, obtaining a date of the user handling the service, comparing the date of the user handling the service with the current date, obtaining a waiting time length after the user handles the service, and marking the waiting time length after the user handles the service as Pi, wherein i =1.. N;
comparing the time length Ti of the current date from the service to the date and the waiting time length Pi after the service is handled by the user with L1 and L2 respectively, wherein L1 is the time length threshold of the service from the service to the deadline and L2 is the waiting time length threshold after the service is handled;
if the time length Ti of the current date from the service to the date is more than L1, and the waiting time length Pi of the service transacted by the user is more than L2, marking the service as a first-level service;
if the time length Ti of the current date from the service to the date is greater than L1, and the waiting time length Pi of the service transacted by the user is less than or equal to L2, marking the service as a second-level service;
if the time length Ti of the current date from the service to the date is less than or equal to L1, and the waiting time length Pi of the service transacted by the user is greater than L2, marking the service as a third-level service;
if the time length Ti of the current date from the service to the date is less than or equal to L1, and the waiting time length Pi of the service transacted by the user is less than or equal to L2, marking the service as a fourth-level service;
step four, sending the first-level service, the second-level service, the third-level service and the fourth-level service to a CDN platform, sequencing the first-level service, the second-level service, the third-level service and the fourth-level service according to the sequence of the levels from high to low by the CDN platform, sending the successfully-sequenced services to a service processing module, and processing the successfully-sequenced services by the service processing module according to the sequencing of the services;
the user feedback unit is used for detecting the processing speed of the service processing system through user feedback data, and the user feedback data comprises the number of the bad comments of the users to the service processing system, the number of the registered new users and the number of the system use times of the old users in one month;
p1: acquiring the bad comment quantity of a user on the service processing system, and marking the bad comment quantity of the user on the service processing system as Uv;
p2: acquiring the registration number of new users in one month, and marking the registration number of the new users in one month as Zv;
p3: acquiring the system use times of an old user in one month, and marking the system use times of the old user in one month as Sv;
p4: acquiring a processing speed coefficient Tv of the service processing system through a formula Tv = beta (Uv × a1+ Zv × a2+ Sv × a 3) a1+ a2+ a3, wherein a1, a2 and a3 are all preset proportionality coefficients, a1+ a2+ a3=2.362541, a1 > a2 > a3, and beta is a correction factor, and the value is 2.365147;
p5: comparing the processing speed coefficient Tv of the service processing system with a processing speed coefficient threshold, if the processing speed coefficient Tv of the service processing system is greater than or equal to the processing speed coefficient threshold, judging that the processing speed of the service processing system is high, and if the processing speed coefficient Tv of the service processing system is less than the processing speed coefficient threshold, judging that the processing speed of the service processing system is low, generating a low-speed signal, and sending the low-speed signal to a fault alarm unit;
the fault alarm unit is used for receiving the slow speed signal and analyzing the fault, and marking the server as g, g =1.
T1: acquiring an available memory and an operating speed of a server, correspondingly marking the available memory and the operating speed as Cg and Vg, and calculating a hardware maintenance coefficient Tg by a formula, wherein b1 and b2 are preset proportionality coefficients, b1+ b2=2.31452, and e is a natural constant;
t2: acquiring the reaction time and the error reporting times of the service processing system, correspondingly marking the reaction time and the error reporting times as TU and CO, and calculating a software maintenance coefficient RR through a formula, wherein c1 and c2 are preset proportionality coefficients, and c1+ c2=2.365412;
t3: comparing the hardware maintenance coefficient Tg and the software maintenance coefficient RR with K1 and K2 respectively, wherein K1 is a hardware maintenance coefficient threshold value, and K2 is a software maintenance coefficient threshold value;
if the hardware maintenance coefficient Tg is larger than K1 and the software maintenance coefficient RR is larger than K2, judging that both hardware and software need maintenance, generating a hardware and software maintenance signal and respectively sending the hardware and software maintenance signal to mobile phone terminals of hardware maintenance personnel and software maintenance personnel;
if the hardware maintenance coefficient Tg is larger than K1 and the software maintenance coefficient RR is smaller than or equal to K2, judging that the hardware needs to be maintained, generating a hardware maintenance signal and sending the hardware maintenance signal to a mobile phone terminal of a hardware maintenance worker;
if the hardware maintenance coefficient Tg is less than or equal to K1 and the software maintenance coefficient RR is greater than K2, judging that the software needs to be maintained, generating a software maintenance signal and sending the software maintenance signal to a mobile phone terminal of a software worker;
the service processing system comprises a service processing system and is characterized by further comprising a prediction unit, wherein the prediction unit is used for predicting the service processing system, obtaining the maintenance times and maintenance interval duration of the service processing system in one month, correspondingly marking the maintenance times and maintenance interval duration as CC and TT, obtaining a prediction coefficient YC through a formula YC = eta (CC × m1+ TT × m 2), wherein m1 and m2 are both preset proportional coefficients, m1+ m2=1.3256, eta is a correction factor, the value of the correction factor is 2.36512, comparing the prediction coefficient YC with the prediction coefficients of the first two months, if the prediction coefficient is in a descending trend, judging that the service processing system does not need shutdown maintenance, and if the prediction coefficient is in an ascending trend, judging that the service processing system needs shutdown maintenance.
2. The service processing system for the CDN platform as recited in claim 1, wherein the login registration module is configured to enable a user and a serviceman to submit user data and serviceman data through a mobile phone terminal and send the successfully registered user data and serviceman data to the database for storage, the CDN platform sends a login account to the mobile phone terminals of the user and the serviceman after receiving the user data and the serviceman data, the user and the serviceman perform password setting and login verification within t time after receiving the login account and send the set password, login verification problem, and answer to the CDN platform for storage, t is a time setting threshold, the user data includes a name, a position, and a mobile phone number of real-name authentication of the user, the serviceman data includes a name, a post time, a mobile phone number of real-name authentication, and a maintenance type, and the maintenance type includes hardware maintenance and software maintenance.
3. The service processing system for the CDN platform as recited in claim 1, wherein the CDN platform is configured to construct an intelligent virtual network using edge servers in each region, obtain service information via the internet, store the obtained service information in each edge server, and send geographical locations of each edge server to a database for storage, where the service information includes a service type, a field to which the service relates, and a name of the service;
the data input module is used for logging in by a user through inputting an account password and matching a service name of the user with service information stored in the CDN platform, and the specific matching process is as follows:
s1, a user inputs an account password to log in a CDN platform, the CDN platform generates an identity authentication problem after receiving a login request of the user and sends the identity authentication problem to a mobile phone terminal of the user, the user sends an answer of the identity authentication problem to the CDN platform through the mobile phone terminal, and the CDN platform generates a login success signal after receiving the answer of the identity authentication problem;
s2, matching the service name which needs to be handled by the user with the service information stored in the CDN platform, wherein the specific matching process is as follows:
s21, establishing a rectangular coordinate system by taking the geographic position of the user currently logging in the CDN platform as a center, and setting the coordinate as (X0, Y0);
s22, bringing the geographical position of each edge server into a rectangular coordinate system, and setting the coordinates as (X1, Y1),...., (Xn, yn);
s23, calculating the distance from each edge server to the geographic position where the user currently logs in the CDN platform through the pythagorean theorem, and sequentially and correspondingly marking the distance as S1,... An.Sn;
s24, establishing a coordinate system by taking the edge server as an X axis and taking the distance as a Y axis, bringing the distance from each edge server to the geographic position of the CDN platform currently logged in by the user into the coordinate system, forming a distance curve, selecting the lowest point, and marking the server corresponding to the lowest point as the selected server;
and S3, sending the selected server to the CDN platform, sending the service types stored in the selected server to a user mobile phone terminal after the CDN platform receives the selected server, and selecting the service types by the user through the mobile phone terminal and sending the selected service types to a service processing module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011064856.7A CN112217672B (en) | 2020-09-30 | 2020-09-30 | Service processing system for CDN platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011064856.7A CN112217672B (en) | 2020-09-30 | 2020-09-30 | Service processing system for CDN platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112217672A CN112217672A (en) | 2021-01-12 |
| CN112217672B true CN112217672B (en) | 2022-10-21 |
Family
ID=74051724
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011064856.7A Active CN112217672B (en) | 2020-09-30 | 2020-09-30 | Service processing system for CDN platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112217672B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113761006A (en) * | 2021-09-10 | 2021-12-07 | 南京星邺汇捷网络科技有限公司 | Event time sequence guaranteeing method based on multiple queues |
| CN115021961A (en) * | 2022-04-28 | 2022-09-06 | 广东电网有限责任公司 | Account registration method, device, equipment and storage medium |
| CN115373857B (en) * | 2022-10-24 | 2023-03-24 | 日照职业技术学院 | Data optimization system for economic management |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7007089B2 (en) * | 2001-06-06 | 2006-02-28 | Akarnai Technologies, Inc. | Content delivery network map generation using passive measurement data |
| CN103312629B (en) * | 2012-03-09 | 2018-02-27 | 深圳市腾讯计算机系统有限公司 | A kind of CDN flow allocation methods, equipment and system |
| CN103024001B (en) * | 2012-11-30 | 2018-07-31 | 中兴通讯股份有限公司 | A kind of business scheduling method and device and fusion device |
| CN103763209A (en) * | 2014-01-03 | 2014-04-30 | 上海聚力传媒技术有限公司 | Scheduling method and device of CDN servers |
| CN105407005B (en) * | 2015-12-09 | 2018-09-14 | 中国联合网络通信集团有限公司 | Content distribution method and device |
| CN108173783A (en) * | 2017-11-22 | 2018-06-15 | 深圳市买买提信息科技有限公司 | A kind of message treatment method and system |
| CN107979704A (en) * | 2017-12-01 | 2018-05-01 | 中国联合网络通信集团有限公司 | Queuing strategy, queuing system |
| CN113408899A (en) * | 2017-12-05 | 2021-09-17 | 北京绪水互联科技有限公司 | Detection method, early warning method and early warning system for early warning points of residual emergency maintenance time of equipment |
| CN108234604A (en) * | 2017-12-12 | 2018-06-29 | 北京好修科技有限公司 | A kind of information acquisition method and its application server, system |
| CN108200132B (en) * | 2017-12-21 | 2021-06-04 | 中国平安人寿保险股份有限公司 | Resource acquisition method, device, equipment and computer readable storage medium |
| CN109034870A (en) * | 2018-06-27 | 2018-12-18 | 北京中电普华信息技术有限公司 | Service network recommended method based on service network pressure and road network information |
| US10904757B2 (en) * | 2018-12-20 | 2021-01-26 | HCL Technologies Italy S.p.A. | Remote pre-authentication of a user device for accessing network services |
| CN109640127A (en) * | 2018-12-30 | 2019-04-16 | 北京奇艺世纪科技有限公司 | The Fault Locating Method and device of content distributing network |
| CN110147905B (en) * | 2019-05-08 | 2022-03-25 | 联想(北京)有限公司 | Information processing method, device, system and storage medium |
| CN111402039B (en) * | 2020-06-08 | 2020-09-15 | 杭州连银科技有限公司 | Credit customer registration management system |
| CN111683157B (en) * | 2020-08-11 | 2020-11-03 | 杭州优云科技有限公司 | Network security protection method for Internet of things equipment |
-
2020
- 2020-09-30 CN CN202011064856.7A patent/CN112217672B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN112217672A (en) | 2021-01-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112217672B (en) | Service processing system for CDN platform | |
| US7765108B2 (en) | Method and apparatus for inter-pharmacy workload balancing | |
| US7734478B2 (en) | Method and apparatus for inter-pharmacy workload balancing using resource function assignments | |
| CN108053042A (en) | A kind of outage information is reported and submitted and delivery system | |
| US20180247265A1 (en) | Task grouping method and apparatus, electronic device, and computer storage medium | |
| CN109543372A (en) | Service authority data processing method, device, computer equipment and storage medium | |
| CN103986741B (en) | Cloud data system, cloud data center and its method for managing resource | |
| CN104956330A (en) | Workload distribution with resource awareness | |
| CN111918225B (en) | Method for sending short message based on multiple operators | |
| CN110796343A (en) | Intelligent dispatching method, device and system | |
| US20070162908A1 (en) | Behavior-based resource capacity adjustment method for business processes | |
| CN110689325A (en) | Information processing method, device and computer readable storage medium | |
| CN111476460A (en) | Method, equipment and medium for intelligent operation scheduling of bank self-service equipment | |
| CN112381418A (en) | Case allocation method, device, equipment and storage medium | |
| CN111476626A (en) | Intelligent water ordering method and intelligent water station system | |
| CN114021056A (en) | Dynamic partitioning method and partitioning system for ICT (information communication technology) resource link virtual operation platform | |
| CN113315825A (en) | Distributed request processing method, device, equipment and storage medium | |
| CN112651733A (en) | Channel route selection method, device, equipment and storage medium | |
| US20180089774A1 (en) | Method for automatic property valuation | |
| CN112132462A (en) | Customer service dispatching method, device, equipment and storage medium | |
| CN116797345A (en) | Task processing method, device, computer equipment and storage medium | |
| CN115099707A (en) | Order evaluation data evaluation system, method, electronic device and storage medium | |
| CN112001454A (en) | Clustering method and device for passenger collecting special line | |
| CN113034076A (en) | Logistics carrying object recommendation method and device, electronic equipment and storage medium | |
| US20230376975A1 (en) | Cloud-based system and method for dynamic incident management using machine learning operations |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |