CN110932927B - Service processing method, device, equipment and readable storage medium - Google Patents
Service processing method, device, equipment and readable storage medium Download PDFInfo
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- CN110932927B CN110932927B CN201911053679.XA CN201911053679A CN110932927B CN 110932927 B CN110932927 B CN 110932927B CN 201911053679 A CN201911053679 A CN 201911053679A CN 110932927 B CN110932927 B CN 110932927B
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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
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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
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
Abstract
The invention discloses a service processing method, a device, equipment and a readable storage medium, wherein the method comprises the following steps: collecting system monitoring data according to the timeliness requirement of a private cloud management platform; storing the system monitoring data to a system monitoring data storage space in the memory; after receiving a large-screen service request sent by a client, performing timeliness detection on large-screen service data in a large-screen display data storage space in a memory; when the large-screen service data fails, updating the large-screen service data by using the system monitoring data; and when the large-screen service data is effective, feeding back the large-screen service data to the client. The method not only ensures the timeliness of the large-screen service data, but also directly responds to the user request through the memory, and improves the service performance.
Description
Technical Field
The present invention relates to the field of computer application technologies, and in particular, to a method, an apparatus, a device, and a readable storage medium for processing a service.
Background
With the popularization of the private cloud, the monitoring and real-time resource conditions of the private cloud management platform are more and more emphasized. The private cloud management platform is complex and scattered in relation to a large number of resources, difficulty in collecting real-time conditions of monitoring data and resources is high, timeliness of displaying the resources and monitoring information of the whole system in a large screen is low, or corresponding delay is long.
At present, the problems are solved by mostly adopting distributed memory database middleware, various synchronization or recovery measures are adopted to keep the consistency of the data stored in the distributed data, and the normal operation of the system is ensured.
In summary, how to effectively solve the problems of service processing of the private cloud management platform and the like is a technical problem that needs to be solved urgently by technical personnel in the field at present.
Disclosure of Invention
The invention aims to provide a service processing method, a device, equipment and a readable storage medium, so as to simplify the large-screen service processing flow and improve the timeliness of large-screen services in a private cloud scene.
In order to solve the technical problems, the invention provides the following technical scheme:
a large-screen service processing method comprises the following steps:
collecting system monitoring data according to the timeliness requirement of a private cloud management platform;
storing the system monitoring data to a system monitoring data storage space in a memory;
after receiving a large-screen service request sent by a client, performing timeliness detection on large-screen service data in a large-screen display data storage space in the memory;
when the large-screen service data fails, updating the large-screen service data by using the system monitoring data;
and when the large-screen service data is effective, feeding back the large-screen service data to the client.
Preferably, the acquiring system monitoring data according to the timeliness requirement of the private cloud management platform includes:
and acquiring monitoring information and system resource information according to the timeliness requirement, and taking the monitoring information and the system resource information as the system monitoring data.
Preferably, according to the timeliness requirement, collecting monitoring information and system resource information includes:
and acquiring the monitoring information and the system resource information according to the acquisition frequency corresponding to the timeliness requirement.
Preferably, the acquiring system monitoring data according to the timeliness requirement of the private cloud management platform includes:
and locking the system monitoring data storage space when the system monitoring data is collected.
Preferably, locking the system monitoring data storage space comprises:
and locking the data which is not updated in the system monitoring data storage space.
Preferably, updating the large screen service data by using the system monitoring data includes:
reading the system monitoring data from the system monitoring data storage space by using a single thread;
and updating invalid data in the large-screen service data by using the system monitoring data.
Preferably, the time efficiency detection of the large-screen service data in the large-screen display data storage space in the memory includes:
and according to the timeliness requirement, performing timeliness detection on the large-screen service data in the large-screen display data storage space in the memory.
A traffic processing apparatus, comprising:
the system monitoring data acquisition module is used for acquiring system monitoring data according to the timeliness requirement of the private cloud management platform;
the system monitoring data storage module is used for storing the system monitoring data to a system monitoring data storage space in the memory;
the timeliness detection module is used for performing timeliness detection on large-screen service data in the large-screen display data storage space in the memory after receiving a large-screen service request sent by a client;
the large-screen service data updating module is used for updating the large-screen service data by using the system monitoring data when the large-screen service data fails;
and the large-screen service data feedback module is used for feeding back the large-screen service data to the client when the large-screen service data is effective.
A traffic processing device, comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of the service processing method when the computer program is executed.
A readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the above-mentioned service processing method.
By applying the method provided by the embodiment of the invention, system monitoring data is acquired according to the timeliness requirement of the private cloud management platform; storing the system monitoring data to a system monitoring data storage space in the memory; after receiving a large-screen service request sent by a client, performing timeliness detection on large-screen service data in a large-screen display data storage space in a memory; when the large-screen service data fails, updating the large-screen service data by using the system monitoring data; and when the large-screen service data is effective, feeding back the large-screen service data to the client.
In the method, a system monitoring data storage space for storing system monitoring data and a large-screen display data storage space for storing large-screen service data are acquired and set in a memory according to the timeliness requirement of a private cloud management platform, so that large-screen services are separated and the monitoring system is unlocked, and thus, when a short-time fault (if the fault time is shorter than the unresponsive fault of the timeliness requirement of the large-screen service data) occurs in the monitoring system, effective large-screen service data can still be fed back to a client. After receiving the large-screen service request, when determining that the large-screen service data is valid, feeding back the large-screen service data, and when determining that the service data is invalid, updating the large-screen service data by using the system monitoring data. In addition, compared with a middleware-based processing mode, the method is simpler in flow and more suitable for the requirements of specific scenes of the private cloud.
Accordingly, embodiments of the present invention further provide a service processing apparatus, a device and a readable storage medium corresponding to the service processing method, which have the above technical effects and are not described herein again.
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 description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an implementation of a service processing method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a service processing apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a service processing device in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a service processing device in an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the 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 first embodiment is as follows:
referring to fig. 1, fig. 1 is a flowchart of a service processing method in an embodiment of the present invention, where the method is applicable to a private cloud management platform, and the method includes the following steps:
s101, collecting system monitoring data according to the timeliness requirement of the private cloud management platform.
The timeliness requirement can be specifically the timeliness requirement of the private cloud management platform on each item of data in the system monitoring data.
The system monitoring data may specifically include monitoring information and system resource information. Namely, collecting the system monitoring data is to collect the monitoring information and the system resource information according to the timeliness requirement, and to use the monitoring information and the system resource information as the system monitoring data. Specifically, the monitoring information and the system resource information can be acquired according to the acquisition frequency corresponding to the timeliness requirement.
The monitoring information is data information obtained by monitoring the running state, service condition and the like of the private cloud by the monitoring system; the system resource information is data information obtained by counting the occupation condition and the remaining condition of the system resources of the private cloud by the monitoring system. The system monitoring data may specifically include data items related to CPU, host, network, memory, virtual machine, storage resource, storage, and the like. For example, the frequency of the CPU, the memory usage rate, the number of virtual machines, and the like include display data information that needs to be displayed on a large screen of the private cloud management platform, and certainly, the system monitoring data may also include other monitoring data that does not need to be displayed in a matching manner on the private cloud management platform.
S102, storing the system monitoring data to a system monitoring data storage space in the memory.
In this embodiment, a system monitoring data storage space may be reserved in the memory in advance, where the system monitoring data storage space is used to store the system monitoring data acquired in real time. In the system monitoring data storage space, only the latest system monitoring data can be stored, and the system monitoring data collected all the time can be stored.
S103, after receiving a large-screen service request sent by the client, performing timeliness detection on large-screen service data in a large-screen display data storage space in the memory.
It should be noted that, in this embodiment, the large screen refers to a large screen that displays resources and monitoring information of the entire private cloud system.
The User can send a large screen service request to the private cloud management platform by controlling a User Interface (UI) of the client. The large-screen service request can request the private cloud management platform to feed back all large-screen service data, so that a user can know the running state, the occupation and the residual state of system resources of the current private cloud. Of course, the large-screen service request may also request the private cloud management platform to feed back part of the service data, that is, specify one or more specific large-screen service data that specifically need to be fed back. For example, the large screen service request may request feedback of storage related data and may also request feedback of data related to virtual machine statistics.
In this embodiment, a large-screen display data storage space may be reserved in the memory in advance, where the large-screen display data storage space stores large-screen service data that can be currently used for displaying in a large screen.
After receiving the large-screen service request, the timeliness detection can be carried out on the large-screen service data in the large-screen display data storage space stored in the memory.
Specifically, the timeliness detection may specifically be to perform timeliness detection on large-screen service data in a large-screen display data storage space in the memory according to the timeliness requirement. That is, if the timeliness requirement specifies that the timeliness of the large screen business data related to the CPU is 30S, when the timeliness requirement is used for detecting the data, it is determined whether the large screen business data related to the CPU exceeds 30S and is not updated. For different large-screen service data, the corresponding ineffectiveness requirements can be different, that is, for contents which change frequently, such as CPU related data and memory related data, the corresponding timeliness duration is shorter; while for example for virtual machine related data, storage related data, the corresponding timeliness is longer, e.g. the timeliness for storing statistical data may be 5 minutes.
It should be noted that, in this embodiment, it may be determined that the large-screen service data is valid when each item of data in the large-screen service data meets the timeliness requirement. Of course, if the large-screen service request specifies one or more specific large-screen service data items, it may be determined that the large-screen service data is valid when it is determined that the specified large-screen service data items are all valid.
And after the timeliness detection result of the large-screen service data is obtained, determining a subsequent execution step according to the timeliness detection result of the large-screen service data. Specifically, when the large-screen service data has timeliness, the step S105 is directly executed; when the service data is not time-efficient, step S104 is executed.
And S104, when the large-screen service data fails, updating the large-screen service data by using the system monitoring data.
When the large-screen service data is determined to be invalid, the latest system monitoring data can be read from the system monitoring data storage space, and the large-screen service data is updated based on the latest system monitoring data.
Preferably, in order to ensure the integrity and consistency of the data, the specific update implementation process of the large-screen service data includes:
reading system monitoring data from a system monitoring data storage space by utilizing a single thread;
and step two, updating invalid data in the large-screen service data by using the system monitoring data.
Specifically, a Worker Thread (a single Thread) can be used as a unique entry, system monitoring data is read from a system monitoring data storage space, and then invalid data in large-screen service data is updated based on the system monitoring data. The invalid data is part of data which does not meet the timeliness requirement in the large-screen service data. In practical application, the updating time of each item of data in the large-screen service data is recorded, and when a large-screen service request is received, the updating time is compared with the time length in the timeliness requirement, so that which data belong to invalid data can be determined.
Preferably, it is considered that when the system monitoring data is acquired, part of the system monitoring data may not be completely updated, and a dirty data condition exists. The influence of dirty data on the updating of large-screen business data is avoided. And when the system monitoring data is acquired, locking the system monitoring data storage space. Therefore, the influence on the updating of large-screen service data caused by reading the dirty data can be avoided, and the condition of feeding back the dirty data to the user is avoided.
Furthermore, considering that the collection frequency of each item of data in the system monitoring data is not completely the same, even if some part of the system monitoring data is collected and updated to the latest data, a part of the data still exists in the system monitoring data storage space and is always in the latest state without dirty data, so when the system monitoring data space is locked, the system monitoring data storage space can be locked only for the part of the system monitoring data which is in data collection. Namely, locking the data which is not updated in the system monitoring data storage space.
After step S104 is executed, if the updating is successful, the large-screen service data at this time are all data in the latest state, and have timeliness. Therefore, after step S104 is successfully performed, the operation of step S105 may be performed.
And S105, feeding back the large-screen service data to the client when the large-screen service data is effective.
And when the large-screen service data is effective, the large-screen service data can be directly fed back to the client. Of course, if the user specifies one or more large-screen service data, the specified one or more large-screen service data may be fed back to the client only.
By applying the method provided by the embodiment of the invention, system monitoring data is acquired according to the timeliness requirement of the private cloud management platform; storing the system monitoring data to a system monitoring data storage space in the memory; after receiving a large-screen service request sent by a client, performing timeliness detection on large-screen service data in a large-screen display data storage space in a memory; when the large-screen service data fails, updating the large-screen service data by using the system monitoring data; and when the large-screen service data is effective, feeding back the large-screen service data to the client.
In the method, a system monitoring data storage space for storing system monitoring data and a large-screen display data storage space for storing large-screen service data are acquired and set in a memory according to the timeliness requirement of a private cloud management platform, so that large-screen services are separated and the monitoring system is unlocked, and thus, when a short-time fault (if the fault time is shorter than the unresponsive fault of the timeliness requirement of the large-screen service data) occurs in the monitoring system, effective large-screen service data can still be fed back to a client. After receiving the large-screen service request, when determining that the large-screen service data is valid, feeding back the large-screen service data, and when determining that the service data is invalid, updating the large-screen service data by using the system monitoring data. In addition, compared with a middleware-based processing mode, the method is simpler in flow and more suitable for the requirements of specific scenes of the private cloud.
In order to facilitate better understanding of the service processing method provided by the embodiment of the present invention for those skilled in the art, the service processing method is described in detail below with reference to specific application scenarios.
As can be seen from the foregoing, the service processing method provided in the embodiment of the present invention may adopt a large-screen summary data (i.e., large-screen service data) stored in a direct-operation memory (e.g., a Cache in a memory), reduce dependence on a distributed memory database middleware, and construct a low-cost high-performance response architecture. By separating the private cloud management platform large-screen display service from the system monitoring and resource information collecting service, the management platform large-screen display service is simplified, the large-screen service processing performance is favorably improved, and the corresponding time is shortened. The large-screen service is separated, the monitoring system is decoupled, the design of the monitoring system is simplified, and the real-time performance of data collection of the system is ensured. And the memory data updating consistency is ensured through a Work Thread single Thread inlet.
By adopting the Cache-based high-performance private cloud management platform large-screen design, the architecture design is simpler, the system is easier to maintain, the dependence on middleware is reduced, the development cost is saved, low-delay response is realized, the monitoring of the private cloud platform and the real-time collection of resource information are not influenced, and the appropriate contact point between the time effect and the quick response is realized through simple design.
The specific implementation process is as follows:
step one, reserving a large-screen display data storage space of a platform in a memory, and storing large-screen service data;
reserving a system monitoring data storage space in the memory, storing monitoring and resource real-time collection data, and initializing large-screen data;
thirdly, setting monitoring and resource information data collection frequency according to the requirement of the private cloud management platform on timeliness, and ensuring timeliness of a system monitoring data storage space;
fourthly, detecting the timeliness of large-screen service data according to the large-screen service request of the platform, and triggering to update the large-screen display data storage space according to the monitoring real-time data if the large-screen service data is invalid; if the data is not invalid, directly reading Cache data (namely large-screen service data cached in an internal memory);
fifthly, locking a system monitoring data storage space when monitoring real-time data is collected, preventing a large-screen service from reading dirty data, and triggering the large-screen service logic to process the real-time data and store the real-time data in a large-screen display data storage space after the collection is finished;
sixthly, when the large-screen service data is updated, adopting a Worker Thread single-Thread unique entrance, and switching to a waiting state when monitoring and updating real-time data are detected;
therefore, a user requests large-screen data through the UI, and the large-screen data are directly returned through the memory, so that the service performance can be greatly improved.
Example two:
corresponding to the above method embodiment, an embodiment of the present invention further provides a service processing apparatus, and the service processing apparatus described below and the service processing method described above may be referred to in correspondence.
Referring to fig. 2, the apparatus includes the following modules:
the system monitoring data acquisition module 101 is used for acquiring system monitoring data according to the timeliness requirement of the private cloud management platform;
the system monitoring data storage module 102 is used for storing system monitoring data to a system monitoring data storage space in the memory;
the timeliness detection module 103 is used for performing timeliness detection on large-screen service data in a large-screen display data storage space in the memory after receiving a large-screen service request sent by the client;
the large-screen service data updating module 104 is used for updating the large-screen service data by using the system monitoring data when the large-screen service data fails;
and the large-screen service data feedback module 105 is used for feeding back the large-screen service data to the client when the large-screen service data is effective.
By applying the device provided by the embodiment of the invention, system monitoring data is acquired according to the timeliness requirement of the private cloud management platform; storing the system monitoring data to a system monitoring data storage space in the memory; after receiving a large-screen service request sent by a client, performing timeliness detection on large-screen service data in a large-screen display data storage space in a memory; when the large-screen service data fails, updating the large-screen service data by using the system monitoring data; and when the large-screen service data is effective, feeding back the large-screen service data to the client.
In the device, a system monitoring data storage space for storing system monitoring data and a large screen display data storage space for storing large screen service data are acquired and set in a memory according to the timeliness requirement of a private cloud management platform, so that large screen services are separated and the monitoring system is unlocked, and thus, when a short-time fault (if the fault time is shorter than the unresponsive fault of the timeliness requirement of the large screen service data) occurs in the monitoring system, effective large screen service data can still be fed back to a client. After receiving the large-screen service request, when determining that the large-screen service data is valid, feeding back the large-screen service data, and when determining that the service data is invalid, updating the large-screen service data by using the system monitoring data. In addition, compared with a middleware-based processing mode, the device is simpler in flow and more suitable for the requirements of specific scenes of the private cloud.
In a specific embodiment of the present invention, the system monitoring data collecting module 101 is specifically configured to collect monitoring information and system resource information according to a timeliness requirement, and use the monitoring information and the system resource information as system monitoring data.
In a specific embodiment of the present invention, the system monitoring data acquisition module 101 is specifically configured to acquire monitoring information and system resource information according to an acquisition frequency corresponding to a timeliness requirement.
In an embodiment of the present invention, the system monitoring data acquisition module 101 is specifically configured to lock the system monitoring data storage space when acquiring the system monitoring data.
In an embodiment of the present invention, the system monitoring data acquisition module 101 is specifically configured to lock data that is not updated in the system monitoring data storage space.
In a specific embodiment of the present invention, the large screen service data updating module 104 is specifically configured to read system monitoring data from the system monitoring data storage space by using a single thread; and updating invalid data in the large-screen service data by using the system monitoring data.
In a specific embodiment of the present invention, the timeliness detection module 103 is configured to perform timeliness detection on large-screen service data in a large-screen display data storage space in a memory according to a timeliness requirement.
Example three:
corresponding to the above method embodiment, an embodiment of the present invention further provides a service processing device, and a service processing device described below and a service processing method described above may be referred to in a corresponding manner.
Referring to fig. 3, the service processing device includes:
a memory D1 for storing computer programs;
the processor D2 is configured to implement the steps of the service processing method of the above-mentioned method embodiment when executing the computer program.
Specifically, referring to fig. 4, a specific structural diagram of a service processing device provided in this embodiment is shown, where the service processing device may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 322 (e.g., one or more processors) and a memory 332, and one or more storage media 330 (e.g., one or more mass storage devices) storing an application 342 or data 344. Memory 332 and storage media 330 may be, among other things, transient storage or persistent storage. The program stored on the storage medium 330 may include one or more modules (not shown), each of which may include a series of instructions operating on a data processing device. Still further, central processor 322 may be configured to communicate with storage medium 330 to perform a series of instructional operations on storage medium 330 on business process device 301.
The traffic processing apparatus 301 may also include one or more power supplies 326, one or more wired or wireless network interfaces 350, one or more input-output interfaces 358, and/or one or more operating systems 341. Such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
The steps in the service processing method described above may be implemented by the structure of the service processing device.
Example four:
corresponding to the above method embodiment, an embodiment of the present invention further provides a readable storage medium, and a readable storage medium described below and a service processing method described above may be referred to in correspondence.
A readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the service processing method of the above-described method embodiments.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other readable storage media capable of storing program codes.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Claims (9)
1. A method for processing a service, comprising:
collecting system monitoring data according to the timeliness requirement of a private cloud management platform;
storing the system monitoring data to a system monitoring data storage space in a memory;
after receiving a large-screen service request sent by a client, performing timeliness detection on large-screen service data in a large-screen display data storage space in the memory;
when the large-screen service data fails, updating the large-screen service data by using the system monitoring data;
when the large-screen service data is effective, feeding back the large-screen service data to the client;
specifically, the updating time of each item of data in the large-screen service data is recorded, and when the large-screen service request is received, the updating time is compared with the duration in the timeliness requirement to determine which data belong to invalid data;
wherein, according to the timeliness requirement of the private cloud management platform, the system monitoring data is collected, and the method comprises the following steps:
acquiring monitoring information and system resource information according to the timeliness requirement, and taking the monitoring information and the system resource information as the system monitoring data; the system monitoring data includes data items relating to CPUs, hosts, networks, memory, virtual machines, storage resources and storage.
2. The traffic processing method according to claim 1, wherein collecting monitoring information and system resource information according to the timeliness requirement includes:
and acquiring the monitoring information and the system resource information according to the acquisition frequency corresponding to the timeliness requirement.
3. The business processing method of claim 1, wherein the collecting system monitoring data according to the timeliness requirement of the private cloud management platform comprises:
and locking the system monitoring data storage space when the system monitoring data is collected.
4. The transaction processing method of claim 3, wherein locking the system monitoring data storage space comprises:
and locking the data which is not updated in the system monitoring data storage space.
5. The traffic processing method according to claim 1, wherein updating the large-screen traffic data using the system monitoring data comprises:
reading the system monitoring data from the system monitoring data storage space by using a single thread;
and updating invalid data in the large-screen service data by using the system monitoring data.
6. The service processing method according to claim 1, wherein performing timeliness detection on the large-screen service data in the large-screen display data storage space in the memory comprises:
and according to the timeliness requirement, performing timeliness detection on the large-screen service data in the large-screen display data storage space in the memory.
7. A traffic processing apparatus, comprising:
the system monitoring data acquisition module is used for acquiring system monitoring data according to the timeliness requirement of the private cloud management platform;
the system monitoring data storage module is used for storing the system monitoring data to a system monitoring data storage space in the memory;
the timeliness detection module is used for performing timeliness detection on large-screen service data in the large-screen display data storage space in the memory after receiving a large-screen service request sent by a client; specifically, the updating time of each item of data in the large-screen service data is recorded, and when the large-screen service request is received, the updating time is compared with the duration in the timeliness requirement to determine which data belong to invalid data;
the large-screen service data updating module is used for updating the large-screen service data by using the system monitoring data when the large-screen service data fails;
the large-screen service data feedback module is used for feeding back the large-screen service data to the client when the large-screen service data is effective;
the system monitoring data acquisition module is specifically used for acquiring monitoring information and system resource information according to the timeliness requirement, and taking the monitoring information and the system resource information as the system monitoring data; the system monitoring data includes data items relating to CPUs, hosts, networks, memory, virtual machines, storage resources and storage.
8. A traffic processing device, comprising:
a memory for storing a computer program;
processor for implementing the steps of the service processing method according to any of claims 1 to 6 when executing said computer program.
9. A readable storage medium, characterized in that the readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the traffic processing method according to any one of claims 1 to 6.
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