WO2021093171A1 - Procédé, système et dispositif de surveillance, et support de stockage - Google Patents

Procédé, système et dispositif de surveillance, et support de stockage Download PDF

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Publication number
WO2021093171A1
WO2021093171A1 PCT/CN2020/073122 CN2020073122W WO2021093171A1 WO 2021093171 A1 WO2021093171 A1 WO 2021093171A1 CN 2020073122 W CN2020073122 W CN 2020073122W WO 2021093171 A1 WO2021093171 A1 WO 2021093171A1
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Prior art keywords
monitoring
task
analysis
data
arbitration
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PCT/CN2020/073122
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English (en)
Chinese (zh)
Inventor
田琳
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苏州浪潮智能科技有限公司
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Publication of WO2021093171A1 publication Critical patent/WO2021093171A1/fr

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    • 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
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • 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
    • H04L41/14—Network analysis or design
    • 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
    • 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
    • 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
    • H04L43/16—Threshold monitoring
    • 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
    • H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]

Definitions

  • This application relates to the field of server operation and maintenance, and in particular to a monitoring method, system, equipment, and storage medium.
  • a data center is a network of specific equipment for global collaboration, composed of a large number of servers, used to transmit, accelerate, display, calculate, and store data information on the network infrastructure.
  • the data center is often used to store important data required for business operations. To ensure the reliable operation of the servers in the data center, technicians often need to monitor the status information of the servers in the data center.
  • the current monitoring solution for data center servers is usually to set up separate monitoring equipment in the data center, and the monitoring system is deployed in the monitoring equipment, and then the monitoring system performs complete monitoring operations on the servers in the data center.
  • the business line is long, which increases the operational risks of the current monitoring system and makes it difficult to ensure the overall reliability of the monitoring process.
  • the purpose of this application is to provide a monitoring method, system, equipment and storage medium to relatively ensure the overall reliability of the monitoring process.
  • this application provides a monitoring method applied to task agent equipment, including:
  • the method before acquiring the monitoring task passed by the arbitration device, the method further includes:
  • Obtain the incoming monitoring tasks from the arbitration device including:
  • the operating status information includes MAC address, IP address, resource utilization, and software version number.
  • the target device information is included in the monitoring task
  • Perform monitoring operations on the data center and obtain monitoring data based on monitoring tasks including:
  • this application also provides a monitoring method applied to arbitration equipment, including:
  • the monitoring task is delivered to the task agent device corresponding to the data center in the form of groups, and the delivery time interval of each group is preset for the duration;
  • the monitoring task will be sent to the task agent device at one time.
  • the monitoring task is sent to the task agent device corresponding to the data center in the form of grouping, including:
  • the monitoring tasks are distributed to each task agent device in a balanced manner in groups;
  • this application also provides a monitoring method applied to analysis equipment, including:
  • the analysis result is sent to the arbitration device for the arbitration device to display the analysis result.
  • this application also provides a monitoring system, including:
  • the task agent device is used to obtain the monitoring tasks passed in by the arbitration device; perform monitoring operations on the data center according to the monitoring tasks and obtain monitoring data; upload the monitoring data to the analysis device to perform analysis operations on the monitoring data and generate analysis results;
  • the arbitration device is used to generate monitoring tasks and obtain the total amount of monitoring tasks; determine whether the total amount of tasks is greater than a preset threshold, and the preset threshold is an integer greater than 1; if so, the monitoring tasks are delivered in groups To the task agent device corresponding to the data center, each group is issued at a preset time interval; otherwise, the monitoring task is issued to the task agent device at one time.
  • the analysis device is used to obtain the monitoring data transmitted by the task agent device, and perform analysis operations on the monitoring data according to preset rules to generate analysis results; and send the analysis results to the arbitration device for the arbitration device to display the analysis results.
  • this application also provides a monitoring device, including:
  • Memory used to store computer programs
  • the processor is used to implement the steps of the above-mentioned monitoring method when the computer program is executed.
  • the present application also provides a computer-readable storage medium with a computer program stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the monitoring method as described above are realized.
  • the task agent device obtains the monitoring task passed by the arbitration device, and performs monitoring operations on the monitored data center according to the monitoring task, thereby obtaining monitoring data, and then uploading the monitoring data to the analysis device for For analysis equipment to perform analysis operations on the monitoring data, and finally generate analysis results to achieve the purpose of monitoring the data center. Since this method is based on the task agent equipment, arbitration equipment and analysis equipment to realize the monitoring of the data center, the complete business line of the monitoring business is distributed to multiple equipment for collaborative execution, thereby relatively reducing the overall operation risk of the current monitoring system. Ensure the overall reliability of the monitoring process. In addition, the present application also provides a monitoring system, equipment, and storage medium, and the beneficial effects are the same as those described above.
  • FIG. 1 is a flowchart of a monitoring method applied to task agent equipment disclosed in this application;
  • FIG. 3 is a flowchart of a specific monitoring method applied to task agent equipment disclosed in this application;
  • FIG. 5 is a flowchart of a specific monitoring method applied to arbitration equipment disclosed in this application.
  • FIG. 6 is a flowchart of a monitoring method applied to analysis equipment disclosed in this application.
  • Fig. 7 is a schematic structural diagram of a monitoring system disclosed in this application.
  • the current monitoring solution for data center servers is usually to set up separate monitoring equipment in the data center, and the monitoring system is deployed in the monitoring equipment, and then the monitoring system performs complete monitoring operations on the servers in the data center.
  • the business line is long, which increases the operational risks of the current monitoring system and makes it difficult to ensure the overall reliability of the monitoring process.
  • the core of this application is to provide a monitoring method to relatively ensure the overall reliability of the monitoring process.
  • an embodiment of the present application discloses a monitoring method, which is applied to a task agent device, and includes:
  • Step S10 Obtain the monitoring task transmitted by the arbitration device.
  • the execution subject of this embodiment is the task agent device, and the task agent device and the arbitration device are independent of each other and have a communication relationship.
  • the task agent device and the server device in the data center have a communication relationship to respond to the arbitration device.
  • the data center performs corresponding monitoring operations.
  • the arbitration device is also responsible for the management of task agents.
  • the monitoring task transmitted by the arbitration device may be initiated by the user in real time through the arbitration device, or it may be read item by item in a task list pre-written by the user.
  • the monitoring content corresponding to the monitoring task includes, but is not limited to, the occupancy of various computing resources in the data center.
  • Step S11 Perform a monitoring operation on the data center according to the monitoring task and obtain monitoring data.
  • the task agent device After the task agent device obtains the monitoring task passed in by the arbitration device, it further performs corresponding monitoring operations on the data center according to the monitoring task and obtains the corresponding monitoring data. Because the task agent device has direct communication with the server device in the data center Therefore, the task agent device can directly initiate corresponding monitoring instructions to the server device in the data center according to the monitoring requirements corresponding to the monitoring task, so as to obtain the monitoring data of the data center.
  • Step S12 Upload the monitoring data to the analysis device to perform an analysis operation on the monitoring data, and generate an analysis result.
  • the task agent device After the task agent device obtains the monitoring data of the data center, it further uploads the monitoring data to the analysis device, so as to perform corresponding analysis operations on the monitoring data through the analysis device, thereby generating the final analysis result.
  • analysis device and the task agent device are independent of each other, and there is a communication relationship, and the analysis device is responsible for collecting and analyzing the monitoring results collected by the task agent device.
  • the task agent device obtains the monitoring task passed by the arbitration device, and performs monitoring operations on the monitored data center according to the monitoring task, thereby obtaining monitoring data, and then uploading the monitoring data to the analysis device for For analysis equipment to perform analysis operations on the monitoring data, and finally generate analysis results to achieve the purpose of monitoring the data center. Since this method is based on the task agent equipment, arbitration equipment, and analysis equipment to realize the monitoring of the data center, the complete business line of the monitoring business is distributed to multiple equipment for collaborative execution, thereby relatively reducing the overall operation risk of the current monitoring system. Ensure the overall reliability of the monitoring process.
  • an embodiment of the present application discloses a monitoring method, which is applied to a task agent device, and includes:
  • Step S20 Respond to the binding instruction transmitted by the arbitration device and establish a binding relationship with the arbitration device.
  • Step S21 Send the operating status information to the arbitration device having the binding relationship according to the preset frequency, so that the arbitration device can determine the availability of the task agent device.
  • Step S22 Obtain the monitoring task transmitted by the arbitration device with the binding relationship.
  • Step S23 Perform a monitoring operation on the data center according to the monitoring task and obtain monitoring data.
  • Step S24 Upload the monitoring data to the analysis device to perform an analysis operation on the monitoring data, and generate an analysis result.
  • the focus of this embodiment is to establish a binding relationship between the task agent device and the arbitration device in advance before acquiring the monitoring task passed in by the arbitration device.
  • the arbitration device first sends the information to the arbitration device.
  • the task agent device initiates a binding instruction, and after receiving the binding instruction of the arbitration device, the task agent device establishes a communication binding relationship with the arbitration device.
  • the binding relationship is the task response relationship of the task agent device to the arbitration device.
  • the task agent device responds to the monitoring task of the arbitration device that has a binding relationship with itself, and executes the corresponding monitoring service.
  • the task agent device After the task agent device establishes a binding relationship with the arbitration device, it only sends operating status information to the arbitration device that has a binding relationship according to the preset frequency. The purpose is to inform the arbitration device of its own working status so that the arbitration device can judge it. Whether the corresponding task agent device is available, and when the arbitration device determines that its corresponding task agent device is available, it further transmits the monitoring task to the task agent device, and then the task agent device performs corresponding monitoring operations according to the monitoring task.
  • the binding relationship between the arbitration device and the task agent device is established in advance, and the task agent device only serves the arbitration device with which it has a binding relationship, which can relatively ensure that the arbitration device assigns monitoring tasks to the task agent device. The orderliness and reliability ensure the overall reliability of the monitoring process.
  • the operating status information includes a MAC address, an IP address, a resource utilization rate, and a software version number.
  • the connectivity of the MAC address and IP address affects the monitoring task of the arbitration device to be sent to the task normally
  • resource utilization refers to tasks including but not limited to CPU utilization, memory utilization, and network utilization.
  • the agent equipment responds to monitoring tasks and needs to occupy computing resources and computing resources.
  • the quantity directly determines whether the monitoring task can be processed normally by the task agent device; in addition, the software version number refers to the version of the software program executed in the task agent device to realize the monitoring operation, because different version numbers affect the monitoring task
  • the data packet structure requirements may be different.
  • the version number of the software program that implements the monitoring operation in the task agent device may not match the version number of the software program of the arbitration device, causing the task agent device to fail to respond normally to the monitoring task transmitted by the arbitration device.
  • the operating status information sent by the task agent device to the arbitration device in this embodiment includes MAC address, IP address, resource utilization, and software version number.
  • the arbitration device can comprehensively determine whether the task agent device is available, and can further ensure the orderliness and reliability of the arbitration device assigning monitoring tasks to the task agent device, thereby ensuring the overall reliability of the monitoring process.
  • an embodiment of the present application discloses a monitoring method, which is applied to a task agent device, and includes:
  • Step S30 Obtain the monitoring task passed by the arbitration device, and the monitoring task includes the target device information.
  • Step S31 Perform a monitoring operation on the target device in the data center according to the target device information of the monitoring task and obtain the monitoring data.
  • Step S32 Upload the monitoring data to the analysis device corresponding to the target device in the analysis device cluster to perform an analysis operation on the monitoring data, and generate an analysis result.
  • the monitoring tasks of the arbitration device passed into the task agent device include target device information.
  • the target device information refers to the identity information of the specific server device that the user needs to monitor in the data center, and then the task The agent device performs monitoring operations on the target device in the data center according to the target device information of the monitoring task and obtains monitoring data. That is to say, the monitoring scope of the data center in this example is further accurate to a specific target device or some target devices in the data center.
  • this embodiment uploads the monitoring data to the analysis equipment corresponding to the target equipment in the analysis equipment cluster to perform the monitoring data Analysis operation, that is, in this embodiment, the number of analysis devices is greater than one and constitute an analysis device cluster, and different analysis devices are responsible for performing analysis operations on corresponding server devices in the data center, that is, target devices.
  • the monitoring data of different target devices in the data center can be uniquely located to the corresponding analysis device in the analysis device cluster based on the HASH value of the target device.
  • multiple analysis devices in the analysis device cluster jointly perform an analysis operation on the monitoring data, which further ensures the reliability of the analysis operation on the monitoring data, thereby ensuring the overall reliability of the monitoring process.
  • the analysis device After the analysis device obtains the analysis result, it can further synchronously record the analysis result into the storage system in a master/standby manner, so as to ensure the data security of the analysis result.
  • an embodiment of the present application discloses a monitoring method, which is applied to an arbitration device, and includes:
  • Step S40 Generate a monitoring task, and obtain the total number of tasks of the monitoring task.
  • Step S41 It is judged whether the total number of tasks is greater than a preset threshold, and the preset threshold is an integer greater than 1, if yes, step S42 is executed, otherwise, step S43 is executed.
  • Step S42 The monitoring task is delivered to the task agent device corresponding to the data center in the form of groups, and the delivery time interval of each group is preset.
  • Step S43 Send the monitoring task to the task agent device at one time.
  • the executive body of this embodiment is the arbitration device, and the arbitration device directly interacts with the user.
  • the user initiates the monitoring of the data center through the arbitration device, and the arbitration device responds to the user's monitoring needs of the data center and generates corresponding monitoring. task.
  • the arbitration device responds to the user's monitoring needs of the data center and generates corresponding monitoring. task.
  • the number of monitoring needs of users for the data center may be large
  • the arbitration device generates monitoring tasks
  • the total number of monitoring tasks initiated by the user is further obtained, and the monitoring tasks are issued according to the total number of tasks.
  • Deliver to the task agent device Deliver to the task agent device.
  • the focus of this embodiment is that when the total number of tasks is greater than the preset threshold, the monitoring tasks are delivered in groups to the task agent device corresponding to the data center, and the delivery time interval of each group is preset for a relatively low time.
  • the processing pressure of the task agent equipment on the monitoring task ensures the overall reliability of the monitoring process.
  • an embodiment of the present application discloses a monitoring method applied to arbitration devices, including:
  • Step S50 Generate a monitoring task, and obtain the total number of tasks of the monitoring task.
  • Step S51 Determine whether the total number of tasks is greater than a preset threshold, the preset threshold is an integer greater than 1, and if so, step S52 is executed, otherwise, step S53 is executed.
  • Step S52 The monitoring task is distributed to each task agent device in a balanced manner in the form of groups, and the distribution time interval of each group is preset.
  • Step S53 The monitoring tasks are distributed to each task agent device in a balanced manner at one time.
  • the arbitration device distributes the monitoring tasks to each task agent device in a balanced manner.
  • the workload of each task agent device ensures the overall stability and reliability of the task agent device in response to the monitoring task, and further ensures the overall reliability of the monitoring process.
  • an embodiment of the present application discloses a monitoring method, which is applied to an analysis device, and includes:
  • Step S60 Obtain the monitoring data transmitted by the task agent device, and perform an analysis operation on the monitoring data according to a preset rule to generate an analysis result.
  • Step S61 Send the analysis result to the arbitration device for the arbitration device to display the analysis result.
  • the analysis device after the analysis device obtains the monitoring data transmitted by the task device, it performs analysis operations on the monitoring data according to preset rules to generate analysis results.
  • the preset rules can be determined according to the actual monitoring and analysis needs of the user.
  • the analysis device After the analysis device generates the analysis result, it further sends the analysis result to the arbitration device, and the arbitration device displays the analysis result, so as to ensure that the user can intuitively understand the specific content of the analysis result.
  • the present application also provides a scenario embodiment in a specific application scenario for description.
  • a distributed multi-data center unified monitoring operation and maintenance architecture technical solution mainly includes arbitration equipment, analysis equipment and task agent equipment.
  • the task agent device adds a task agent device to the arbitration device, and then the arbitration device sends a binding instruction to the task agent device according to the password, and the task agent device responds to the binding after receiving the binding designation. After the two parties complete the binding, the task agent device reports the heartbeat to the arbitration device every 30 seconds.
  • the heartbeat content includes but is not limited to the following: physical address, IP, health information (CPU utilization, memory utilization, network utilization), version number.
  • the arbitration device detects the heartbeat information every 1 minute, and if a certain task agent device has no heartbeat, the task of the task agent device is migrated to other task agent devices.
  • Receive the execution status of the task agent device which is used to record the execution time, waiting time, execution duration, success, failure and other information of each task.
  • the task agent device sets the user name and password during installation, and is used to verify the password when arbitrating the device binding. At the same time, it has the ability to report heartbeat and execute tasks. Since the task agent equipment is distributed to each data center, the execution of the task agent equipment should be guaranteed to be stateless execution, that is to say, there is no correlation between tasks, and there is no correlation between the previous execution and the next execution. , There is no ability to store any state locally.
  • an embodiment of the present application discloses a monitoring system, including:
  • the task agent device 10 is used to obtain the monitoring tasks transmitted by the arbitration device 11; perform monitoring operations on the data center 13 according to the monitoring tasks and obtain monitoring data; upload the monitoring data to the analysis device 12 to perform analysis operations on the monitoring data, and Generate analysis results;
  • the arbitration device 11 is used to generate monitoring tasks and obtain the total number of tasks of the monitoring tasks; determine whether the total number of tasks is greater than a preset threshold, and the preset threshold is an integer greater than 1; if so, the monitoring tasks are downloaded in groups It is sent to the task agent device 10 corresponding to the data center 13, and the time interval for issuing each group is preset; otherwise, the monitoring task is issued to the task agent device 10 at one time.
  • the analysis device 12 is used to obtain the monitoring data passed in by the task agent device 10, and perform analysis operations on the monitoring data according to preset rules to generate analysis results; send the analysis results to the arbitration device 11 for the arbitration device 11 to analyze the results To show.
  • the task agent device obtains the monitoring task passed by the arbitration device, and performs monitoring operations on the monitored data center according to the monitoring task to obtain monitoring data, and then upload the monitoring data to the analysis device to For analysis equipment to perform analysis operations on the monitoring data, and finally generate analysis results to achieve the purpose of monitoring the data center. Since this system is based on task agency equipment, arbitration equipment, and analysis equipment to realize the monitoring of the data center, the complete business line of the monitoring business is distributed to multiple equipment for collaborative execution, thereby relatively reducing the overall operational risk of the current monitoring system. Ensure the overall reliability of the monitoring process.
  • this application also discloses a monitoring device, including:
  • Memory used to store computer programs
  • the processor is used to implement the steps of the monitoring method applied to the task agent device and/or applied to the arbitration device and/or applied to the analysis device when executing the computer program.
  • the task agent equipment obtains the monitoring tasks passed by the arbitration equipment, and performs monitoring operations on the monitored data center according to the monitoring tasks to obtain monitoring data, and then upload the monitoring data to the analysis equipment to For analysis equipment to perform analysis operations on the monitoring data, and finally generate analysis results to achieve the purpose of monitoring the data center. Since this device is based on task agent equipment, arbitration equipment and analysis equipment to realize the monitoring of the data center, the complete business line of the monitoring business is distributed to multiple equipment for collaborative execution, which relatively reduces the overall operational risk of the current monitoring system. Ensure the overall reliability of the monitoring process.
  • the present application also provides a computer-readable storage medium on which a computer program is stored.
  • the computer program is executed by a processor, the computer program is applied to the task agent device and/or to the arbitration device and/or as described above. Or the steps of a monitoring method applied to analysis equipment.
  • the task agent device obtains the monitoring task passed by the arbitration device, and performs monitoring operations on the monitored data center according to the monitoring task, thereby obtaining monitoring data, and uploading the monitoring data to
  • the analysis equipment is used for the analysis equipment to analyze and operate the monitoring data, and finally generate analysis results to achieve the purpose of monitoring the data center. Since this computer-readable storage medium realizes the monitoring of the data center based on the task agent equipment, arbitration equipment, and analysis equipment, the complete business line of the monitoring service is distributed to multiple equipment for collaborative execution, which relatively reduces the current monitoring system The overall operation risk ensures the overall reliability of the monitoring process.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Environmental & Geological Engineering (AREA)
  • Computer And Data Communications (AREA)
  • Debugging And Monitoring (AREA)

Abstract

Sont divulgués un procédé, un système et un dispositif de surveillance, ainsi qu'un support de stockage. Au cours du procédé, un centre de données est surveillé sur la base d'un dispositif d'agent de gestion des tâches, d'un dispositif d'arbitrage et d'un dispositif d'analyse. Par conséquent, une ligne de service complète d'un service de surveillance est répartie sur de multiples dispositifs en vue d'une exécution coopérative, ce qui réduit relativement le risque de fonctionnement global d'un système de surveillance actuel et garantit la fiabilité globale d'un processus de surveillance. La présente invention concerne en outre un système et un dispositif de surveillance, ainsi qu'un support de stockage, ayant les effets avantageux susmentionnés.
PCT/CN2020/073122 2019-11-15 2020-01-20 Procédé, système et dispositif de surveillance, et support de stockage WO2021093171A1 (fr)

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CN201911122494.XA CN110933148A (zh) 2019-11-15 2019-11-15 一种监控方法、系统、设备及存储介质
CN201911122494.X 2019-11-15

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CN106209482A (zh) * 2016-09-13 2016-12-07 郑州云海信息技术有限公司 一种数据中心监控方法及系统
CN107070744A (zh) * 2017-03-22 2017-08-18 上海合志信息技术有限公司 服务器监控方法
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