CN106911518B - Running service state monitoring system and method based on cloud scheduling system - Google Patents
Running service state monitoring system and method based on cloud scheduling system Download PDFInfo
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- CN106911518B CN106911518B CN201710211035.3A CN201710211035A CN106911518B CN 106911518 B CN106911518 B CN 106911518B CN 201710211035 A CN201710211035 A CN 201710211035A CN 106911518 B CN106911518 B CN 106911518B
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- 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
- H04L41/22—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
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- 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
- H04L41/5009—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
- H04L43/045—Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
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Abstract
The invention relates to a running service state monitoring method for a cloud scheduling system. The problem of prior art service monitoring system not in time give the maintainer function with the condition feedback is solved. The system comprises a cloud scheduling end deployed with service units, a server end used for checking the service state and a user end. The server side comprises a service state acquisition unit, a functional service analysis unit, a graph drawing unit, a webpage unit, a service monitoring unit, a storage unit and an information sending unit. The service running state of the cloud scheduling terminal is acquired through detection, the service running state is displayed in a visual mode, information is fed back to a user more conveniently and visually, the information can be used and checked by any mobile device through a network, the user can check the information in a cross-platform mode through a webpage, and the service running state is more flexible to use. The timeliness of service maintenance work of the cloud scheduling system is greatly guaranteed through monitoring, the management efficiency is improved, the stability of the cloud scheduling system is guaranteed, and the use quality is guaranteed.
Description
Technical Field
The invention relates to the technical field of power dispatching, in particular to a running service state monitoring system and method based on a cloud dispatching system.
Background
The cloud scheduling system is a novel scheduling system which adopts an SOA framework and is deployed on a cloud platform. It is an important feature to provide functional support in the form of a service. It is important how to monitor its service and feed back the situation to maintenance personnel. At present, many service running state monitoring systems do not have timely feedback of monitoring conditions. Therefore, the design and application of the composite material are of great significance.
Disclosure of Invention
The invention mainly solves the problem that a service monitoring system in the prior art does not feed back the condition to a function of a maintainer in time, and provides a running service state monitoring system and method based on a cloud scheduling system.
The technical problem of the invention is mainly solved by the following technical scheme: a running service state monitoring system based on a cloud scheduling system comprises a cloud scheduling end, a server end and a user end, wherein the cloud scheduling end is provided with a service unit, the server end is used for checking service states, and the user end is provided with a service state acquisition unit, a function service analysis unit, a graph drawing unit, a webpage unit, a service monitoring unit, a storage unit and an information sending unit. The service unit is internally provided with functional services, and the service unit can be used for module scheduling in the power grid system. The service state acquisition unit is used for acquiring the current working state of each service unit, and the working state comprises whether the service units are switched on or off or not and whether the service units are normal or not. The function service analysis unit is used for analyzing the calling and using relations corresponding to the services of each service unit. The graph drawing unit is used for establishing a corresponding connection relation graph for each service according to the calling and using relation of the service, and expressing the state of each service on the image. The webpage unit displays the graph generated by the image drawing unit on the webpage and can update the service state on the image according to the information of the service state acquisition unit. The service monitoring unit is used for monitoring whether the service changes or not, and if the service changes, information is generated to service maintenance management personnel corresponding to the service. The storage unit stores information of service maintenance managers corresponding to the respective services. The information sending unit is used for sending information, and sending short messages through a communication channel or sending information through a network. The user side can access and check the webpage unit and receive the information sent by the information sending unit. According to the invention, the service running state of the cloud scheduling terminal is acquired through detection and displayed in a visual mode, so that information is more conveniently and visually fed back to a user, the information can be used and checked by any mobile device through a network, the user can check the information through a webpage in a cross-platform mode, and the use is more flexible. The timeliness of service maintenance work of the cloud scheduling system is greatly guaranteed through monitoring, the management efficiency is improved, the stability of the cloud scheduling system is guaranteed, and the use quality is guaranteed.
A running service state monitoring method based on a cloud scheduling system comprises the following steps:
s1, a service side draws a service relation graph according to the function condition of a cloud scheduling side and puts the service relation graph into a webpage unit;
s2, acquiring service state information in real time, detecting the service state and recording detection data;
s3, monitoring the service state according to the detection data, and sending the abnormal condition to maintenance personnel;
and S4, the webpage unit displays the service state in real time according to the acquired service state information for the user to access and view.
According to the invention, the service running state of the cloud scheduling terminal is acquired through detection and displayed in a visual mode, so that information is more conveniently and visually fed back to a user, the information can be used and checked by any mobile device through a network, the user can check the information through a webpage in a cross-platform mode, and the use is more flexible. The timeliness of service maintenance work of the cloud scheduling system is greatly guaranteed through monitoring, the management efficiency is improved, the stability of the cloud scheduling system is guaranteed, and the use quality is guaranteed.
As a preferable scheme, the specific process of step S1 includes:
s11, a functional service analysis unit acquires service information of each functional unit;
s12, analyzing each service and listing corresponding calling and using relations;
s13, drawing a functional service relation graph according to the corresponding relation of the services, representing one function by using blocks, setting round dots in the blocks to represent the services, displaying the working state by the round dots in red and green colors, and setting unique IDs (identity) for all the blocks and the round dots. One function may include multiple services, with the set ID used to match the service status.
As a preferable scheme, the specific process of step 2 comprises:
s21, counting websites corresponding to all services of the cloud server, arranging the websites according to the ID numbers of the dots, and storing the websites into an array;
s22, the service state acquisition unit calls a service through the website and sends feedback data to the service monitoring unit at intervals of 10 s;
s23, the service monitoring unit monitors whether data are returned in the service 10s, if the next step is not carried out, if the service is debugged, if the service returns to 1 normally, the service returns to 0 in failure;
s24, monitoring whether data are returned in the service 20s, if the next step is not carried out, if the service is debugged, returning to 1 if the service is normal, and returning to 0 if the service is failed;
s25, monitoring whether data are returned in the service 40s, if the service address is not disconnected, returning to 0, entering the next step, if the service is debugged, returning to 1 if the service is normal, returning to 0 if the service is failed, and then entering the next step;
and S26, collecting the returned information, and uniformly storing the returned information in an array according to the sequence of the dots.
As a preferable scheme, the specific process of step S3 includes:
s31, the service monitoring unit monitors the service state, traverses the array for storing the return information, acquires the state corresponding to each service, and stores the state as historical data into a historical variable H1;
s32, after the interval of 30s, traversing the array for storing the return information, acquiring the state corresponding to each service, and storing the state as current data into a current variable N1;
s33, comparing N1 with H1, finding out services with changed service states, acquiring names and mobile phone numbers of maintenance management personnel corresponding to the services from a storage unit, and sending the names and mobile phone numbers to the maintenance management personnel in a short message form through an information sending unit;
and S34, carrying out next round of service state detection, taking the current variable N1 as the historical variable H1, returning to the step S32, and repeating the operation until the operation is finished.
As a preferable scheme, the specific process of step S4 includes:
s41, monitoring the service working state every 30s by the webpage unit to obtain an array;
and S42, traversing the array, setting the dot corresponding to the ID to be red if the number is 1, and setting the dot corresponding to the ID to be green if the number is 0.
Therefore, the invention has the advantages that: the service running state of the cloud scheduling terminal is acquired through detection, the service running state is displayed in a visual mode, information is fed back to a user more conveniently and visually, the information can be used and checked by any mobile device through a network, the user can check the information in a cross-platform mode through a webpage, and the service running state is more flexible to use. The timeliness of service maintenance work of the cloud scheduling system is greatly guaranteed through monitoring, the management efficiency is improved, the stability of the cloud scheduling system is guaranteed, and the use quality is guaranteed.
Drawings
FIG. 1 is a block diagram of one configuration of the present invention.
The cloud scheduling method comprises the steps of 1-a cloud scheduling end 2-a server end 3-a user end 4-a service unit 5-a service state acquisition unit 6-a functional service analysis unit 7-an image drawing unit 8-a webpage unit 9-a service monitoring unit 10-a storage unit 11-an information sending unit.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.
Example (b):
in this embodiment, an operation service state monitoring system based on a cloud scheduling system is, as shown in fig. 1, includes a cloud scheduling terminal 1 deployed with a service unit 4, a server terminal 2 for checking a service state, and a user terminal 3. The server side comprises a service state acquisition unit 5, a functional service analysis unit 6, a graph drawing unit 7, a webpage unit 8, a service monitoring unit 9, a storage unit 10 and an information sending unit 11. Each service unit is respectively connected with a service state acquisition unit and a function service analysis unit through a network, the function service analysis unit is connected with a graph drawing unit, the graph drawing unit and the service state acquisition unit are respectively connected with a webpage unit, the webpage unit is connected with a service monitoring unit, a storage unit and an information sending unit are respectively connected with the service monitoring unit, and a user side is respectively connected with the webpage unit and the information sending unit.
A running service state monitoring method based on a cloud scheduling system comprises the following steps:
s1, a service side draws a service relation graph according to the function condition of a cloud scheduling side and puts the service relation graph into a webpage unit; the specific process comprises the following steps:
s11, a functional service analysis unit acquires service information of each functional unit;
s12, analyzing each service and listing corresponding calling and using relations;
s13, drawing a functional service relation graph according to the corresponding relation of the services, representing one function by using blocks, setting round dots in the blocks to represent the services, displaying the working state by the round dots in red and green colors, and setting unique IDs (identity) for all the blocks and the round dots.
S2, acquiring service state information in real time, detecting the service state and recording detection data; the specific process comprises the following steps:
s21, counting websites corresponding to all services of the cloud server, arranging the websites according to the ID numbers of the dots, and storing the websites into an array;
s22, the service state acquisition unit calls a service through the website and sends feedback data to the service monitoring unit at intervals of 10 s;
s23, the service monitoring unit monitors whether data are returned in the service 10s, if the next step is not carried out, if the service is debugged, if the service returns to 1 normally, the service returns to 0 in failure;
s24, monitoring whether data are returned in the service 20s, if the next step is not carried out, if the service is debugged, returning to 1 if the service is normal, and returning to 0 if the service is failed;
s25, monitoring whether data are returned in the service 40s, if the service address is not disconnected, returning to 0, entering the next step, if the service is debugged, returning to 1 if the service is normal, returning to 0 if the service is failed, and then entering the next step;
and S26, collecting the returned information, and uniformly storing the returned information in an array according to the sequence of the dots.
S3, monitoring the service state according to the detection data, and sending the abnormal condition to maintenance personnel; the specific process comprises the following steps:
s31, the service monitoring unit monitors the service state, traverses the array for storing the return information, acquires the state corresponding to each service, and stores the state as historical data into a historical variable H1;
s32, after the interval of 30s, traversing the array for storing the return information, acquiring the state corresponding to each service, and storing the state as current data into a current variable N1;
s33, comparing N1 with H1, finding out services with changed service states, acquiring names and mobile phone numbers of maintenance management personnel corresponding to the services from a storage unit, and sending the names and mobile phone numbers to the maintenance management personnel in a short message form through an information sending unit;
and S34, carrying out next round of service state detection, taking the current variable N1 as the historical variable H1, returning to the step S32, and repeating the operation until the operation is finished.
And S4, the webpage unit displays the service state in real time according to the acquired service state information for the user to access and view. The specific process comprises the following steps:
s41, monitoring the service working state every 30s by the webpage unit to obtain an array;
and S42, traversing the array, setting the dot corresponding to the ID to be red if the number is 1, and setting the dot corresponding to the ID to be green if the number is 0.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Although terms such as cloud scheduling side, server side, user side, service unit, service status acquisition unit, etc. are used more herein, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.
Claims (3)
1. A method for monitoring running service state based on a cloud scheduling system is adopted, the system comprises a cloud scheduling end, a server end and a user end, wherein service units are deployed in the cloud scheduling end, the server end is used for checking service states, the server end comprises a service state acquisition unit, a function service analysis unit, a graph drawing unit, a webpage unit, a service monitoring unit, a storage unit and an information sending unit, all the service units are respectively connected with the service state acquisition unit and the function service analysis unit through a network, the function service analysis unit is connected with the graph drawing unit, the graph drawing unit and the service state acquisition unit are respectively connected with the webpage unit, the webpage unit is connected with the service monitoring unit, the storage unit and the information sending unit are respectively connected with the service monitoring unit, and the user end is respectively connected with the webpage unit, the graph drawing unit and the service state acquisition unit, The information sending units are connected; the method is characterized by comprising the following steps:
s1, a service side draws a service relation graph according to the function condition of a cloud scheduling side and puts the service relation graph into a webpage unit; the specific process comprises the following steps:
s11, a functional service analysis unit acquires service information of each functional unit;
s12, analyzing each service and listing corresponding calling and using relations;
s13, drawing a functional service relation graph according to the corresponding relation of the services, representing one function by using blocks, setting dots in the blocks to represent the services, displaying the working state by using red and green colors of the dots, and setting unique IDs (identity) for all the blocks and the dots;
s2, acquiring service state information in real time, detecting the service state and recording detection data; the specific process comprises the following steps:
s21, counting websites corresponding to all services of the cloud server, arranging the websites according to the ID numbers of the dots, and storing the websites into an array;
s22, the service state acquisition unit calls a service through the website and sends feedback data to the service monitoring unit at intervals of 10 s;
s23, the service monitoring unit monitors whether data are returned in the service 10s, if the next step is not carried out, if the service is debugged, if the service returns to 1 normally, the service returns to 0 in failure;
s24, monitoring whether data are returned in the service 20s, if the next step is not carried out, if the service is debugged, returning to 1 if the service is normal, and returning to 0 if the service is failed;
s25, monitoring whether data are returned in the service 40s, if the service address is not disconnected, returning to 0, entering the next step, if the service is debugged, returning to 1 if the service is normal, returning to 0 if the service is failed, and then entering the next step;
s26, collecting the returned information, and uniformly storing the returned information in an array according to the sequence of the dots;
s3, monitoring the service state according to the detection data, and sending the abnormal condition to maintenance personnel;
and S4, the webpage unit displays the service state in real time according to the acquired service state information for the user to access and view.
2. The method according to claim 1, wherein the specific process of step S3 includes:
s31, the service monitoring unit monitors the service state, traverses the array for storing the return information, acquires the state corresponding to each service, and stores the state as historical data into a historical variable H1;
s32, after the interval of 30s, traversing the array for storing the return information, acquiring the state corresponding to each service, and storing the state as current data into a current variable N1;
s33, comparing N1 with H1, finding out services with changed service states, acquiring names and mobile phone numbers of maintenance management personnel corresponding to the services from a storage unit, and sending the names and mobile phone numbers to the maintenance management personnel in a short message form through an information sending unit;
and S34, carrying out next round of service state detection, taking the current variable N1 as the historical variable H1, returning to the step S32, and repeating the operation until the operation is finished.
3. The method according to claim 2, wherein the specific process of step S4 includes:
s41, monitoring the service working state every 30s by the webpage unit to obtain an array;
and S42, traversing the array, setting the dot corresponding to the ID to be red if the number is 1, and setting the dot corresponding to the ID to be green if the number is 0.
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| CN107733710A (en) * | 2017-10-17 | 2018-02-23 | 平安科技（深圳）有限公司 | Construction method, device, computer equipment and the storage medium of link call relation |
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| CN104104719A (en) * | 2014-07-04 | 2014-10-15 | 中国南方电网有限责任公司 | Demonstration method for power grid real-time flow diagram in power grid dispatching mobile application |
| CN104869012B (en) * | 2015-04-22 | 2016-10-19 | 国网山东省电力公司信息通信公司 | System and method are monitored based on dispatching of power netwoks phone comprehensive warning |
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