CN111124834A - Access method and device of monitoring data in cloud computing environment and computer equipment - Google Patents
Access method and device of monitoring data in cloud computing environment and computer equipment Download PDFInfo
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- CN111124834A CN111124834A CN201911360331.5A CN201911360331A CN111124834A CN 111124834 A CN111124834 A CN 111124834A CN 201911360331 A CN201911360331 A CN 201911360331A CN 111124834 A CN111124834 A CN 111124834A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention discloses a monitoring data access method and device in a cloud computing environment and computer equipment. The access method of the monitoring data in the cloud computing environment comprises the following steps: acquiring monitoring data generated by a data production layer; forwarding the monitoring data to a back-end analysis service through load balancing; analyzing the monitoring data through a back-end analysis service and generating a message queue; and carrying out buffer storage processing on the monitoring data according to the message queue. According to the access method, the device and the computer equipment of the monitoring data in the cloud computing environment, the monitoring data generated by the data production layer are obtained, the monitoring data are forwarded to the back-end analysis service through load balancing, the monitoring data are analyzed through the back-end analysis service, the message queue is generated, and then the monitoring data are buffered and stored according to the message queue, so that the data processing layer can be prevented from directly interacting with the monitoring data, and the data processing performance is improved.
Description
Technical Field
The invention relates to the technical field of data monitoring, in particular to a method and a device for accessing monitoring data in a cloud computing environment and computer equipment.
Background
In a cloud computing environment, large-scale monitoring data is generated during the use of resources such as virtual machines, host clusters, application systems, and the like. Under the existing cloud environment, the requirement of a large amount of monitoring data access on the expansion capability of the platform and the capability of the processing platform is high, and when the processing capability cannot keep up with the data generation and transmission speed, the problems of data loss, downtime and the like easily occur. On the other hand, when a monitoring object is newly added, the requirements on important usability indexes such as how to ensure the expansion of the platform without stopping are more and more urgent. Conventional monitoring systems typically employ data to directly interact with a data processing storage component. Due to the burstiness, continuity and large amount of monitoring data, the situation of data loss or processing system breakdown and the like often occurs due to insufficient processing capacity of the management system.
Disclosure of Invention
The object of the present invention is to solve at least to some extent one of the above mentioned technical problems.
Therefore, a first objective of the present invention is to provide an access method for monitoring data in a cloud computing environment, which can avoid direct interaction between a data processing layer and the monitoring data, and improve data processing performance.
The second purpose of the invention is to provide an access device for monitoring data in a cloud computing environment.
A third object of the invention is to propose a computer device.
A fourth object of the invention is to propose a non-transitory computer-readable storage medium.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides an access method for monitoring data in a cloud computing environment, where the method includes:
acquiring monitoring data generated by a data production layer;
forwarding the monitoring data to a back-end analysis service through load balancing;
analyzing the monitoring data through the back-end analysis service and generating a message queue;
and carrying out buffer storage processing on the monitoring data according to the message queue.
Optionally, analyzing the monitoring data and generating a message queue through the back-end analysis service, including:
acquiring preset configuration related to analysis;
acquiring data attributes of the monitoring data;
classifying and sequencing the monitoring data according to the preset configuration and the data attribute;
and generating the message queue according to the classification result and the sequencing result.
Optionally, the method further comprises:
and after the monitoring data is buffered and stored according to the message queue, receiving the messages in the message queue through a data processing layer and storing the monitoring data.
Optionally, acquiring the monitoring data generated by the data production layer includes:
and uniformly receiving the monitoring data by utilizing an access gateway.
Optionally, the monitoring data includes at least one of virtual machine data, cluster data, and application data.
According to the access method of the monitoring data in the cloud computing environment, the monitoring data generated by the data production layer are obtained, the monitoring data are forwarded to the rear-end analysis service through load balancing, the monitoring data are analyzed through the rear-end analysis service, the message queue is generated, and then the monitoring data are buffered and stored according to the message queue, so that the data processing layer can be prevented from directly interacting with the monitoring data, and the data processing performance is improved.
In order to achieve the above object, a second embodiment of the present invention provides an access apparatus for monitoring data in a cloud computing environment, including:
the data production layer is used for generating monitoring data;
the data access layer is used for acquiring monitoring data generated by the data production layer, forwarding the monitoring data to a back-end analysis service through load balancing, analyzing the monitoring data through the back-end analysis service, generating a message queue and buffering and storing the monitoring data according to the message queue;
and the data processing layer is used for receiving the messages in the message queue and storing the monitoring data.
Optionally, the data access layer is specifically configured to:
acquiring preset configuration related to analysis;
acquiring data attributes of the monitoring data;
classifying and sequencing the monitoring data according to the preset configuration and the data attribute;
and generating the message queue according to the classification result and the sequencing result.
Optionally, the data access layer is specifically configured to:
and uniformly receiving the monitoring data by utilizing an access gateway.
Optionally, the monitoring data includes at least one of virtual machine data, cluster data, and application data.
According to the access device for monitoring data in the cloud computing environment, the monitoring data generated by the data production layer are obtained, the monitoring data are forwarded to the rear-end analysis service through load balancing, the monitoring data are analyzed through the rear-end analysis service, the message queue is generated, and then the monitoring data are buffered and stored according to the message queue, so that the data processing layer can be prevented from directly interacting with the monitoring data, and the data processing performance is improved.
In order to achieve the above object, an embodiment of a third aspect of the present invention provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the method for monitoring data access in a cloud computing environment as described in the embodiment of the first aspect.
In order to achieve the above object, a non-transitory computer readable storage medium is further provided in a fourth embodiment of the present invention, where a computer program is stored on the non-transitory computer readable storage medium, where the computer program is executed by a processor to implement the method for monitoring data access in a cloud computing environment as described in the first embodiment.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a monitoring data access method in a cloud computing environment according to an embodiment of the present invention;
FIG. 2 is a flow diagram of parsing monitoring data and generating a message queue via a back-end parsing service, in accordance with an embodiment of the present invention;
fig. 3 is a flowchart of a monitoring data access method in a cloud computing environment according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of an access device for monitoring data in a cloud computing environment according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
The present invention is described in further detail below with reference to specific examples, which are not to be construed as limiting the scope of the invention as claimed.
The following describes an access method, an access device and computer equipment of monitoring data in a cloud computing environment according to an embodiment of the present invention with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for accessing monitoring data in a cloud computing environment according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
and S1, acquiring the monitoring data generated by the data production layer.
In particular, the access gateway may be utilized to receive the monitoring data in a unified manner. The monitoring data may include at least one of virtual machine data, cluster data, and application data.
For example, the monitored resources (resources such as virtual machines, clusters, applications, etc.) generate a large amount of monitoring data in a life cycle, and the monitoring data exists according to the characteristics of the monitored resources (continuity and intermittency exist, and large flow and small flow exist). In this embodiment, the monitoring data is not directly processed in a centralized manner by using a data processing layer, but an access gateway is called to receive the monitoring data in a unified manner.
And S2, forwarding the monitoring data to a back-end analysis service through load balancing.
After the monitoring data generated by the data production layer is obtained, the uniformly received monitoring data can be forwarded to a back-end analysis service through load balancing, and the back-end analysis service processes the monitoring data.
And S3, analyzing the monitoring data through the back-end analysis service and generating a message queue.
In this embodiment, parsing the monitoring data by the backend parsing service and generating the message queue, as shown in fig. 2, may further include the following steps:
and S31, acquiring preset configuration related to analysis.
And S32, acquiring the data attribute of the monitoring data.
The monitored data generated by the monitored resources (resources such as virtual machines, clusters, applications, etc.) have different data attributes.
And S33, classifying and sequencing the monitoring data according to the preset configuration and the data attributes.
The monitoring data can be classified and sorted based on preset configuration and data attributes, so that corresponding classification results and sorting results are generated.
And S34, generating a message queue according to the classification result and the sorting result.
And putting the analyzed monitoring data into a message queue to wait for processing according to the classification result and the sequencing result.
And S4, performing buffer storage processing on the monitoring data according to the message queue.
After the message queue is generated, the monitoring data can be sequentially buffered according to the sequence of the message queue. The method has low data transmission delay (less than 100ms), strong concurrency capability (can be increased linearly according to the number of monitored objects), and can support 1:1, 1: n and the like, and the programming interface meets the requirements of different processing modes, so that the data processing performance can be effectively improved.
According to the access method of the monitoring data in the cloud computing environment, the monitoring data generated by the data production layer are obtained, the monitoring data are forwarded to the back-end analysis service through load balancing, the monitoring data are analyzed through the back-end analysis service, the message queue is generated, and then the monitoring data are buffered and stored according to the message queue, so that the data processing layer can be prevented from directly interacting with the monitoring data, and the data processing performance is improved.
In another embodiment of the present invention, as shown in fig. 3, the method for accessing monitoring data in a cloud computing environment further includes:
s5, after the monitoring data is buffered according to the message queue, the message in the message queue is received through the data processing layer and the monitoring data is stored.
The monitoring data is buffered and stored firstly, and then the data processing layer receives the messages in the message queue and stores the monitoring data, so that the situations of data loss, processing system breakdown and the like can be effectively prevented.
In order to implement the above embodiments, the present invention further provides an access device for monitoring data in a cloud computing environment.
Fig. 4 is a schematic structural diagram of an access device for monitoring data in a cloud computing environment according to an embodiment of the present invention.
As shown in fig. 4, the apparatus includes a data production layer 41, a data access layer 42, and a data processing layer 43.
And a data production layer 41 for generating monitoring data.
And the data access layer 42 is configured to acquire the monitoring data generated by the data production layer 41, forward the monitoring data to the backend parsing service through load balancing, parse the monitoring data through the backend parsing service, generate a message queue, and buffer and store the monitoring data according to the message queue.
Wherein, the data access layer 42 utilizes the access gateway to receive the monitoring data in a unified way. The monitoring data comprises at least one of virtual machine data, cluster data and application data.
The data access layer 42 is specifically configured to: acquiring preset configuration related to analysis; acquiring data attributes of monitoring data; classifying and sequencing the monitoring data according to preset configuration and data attributes; and generating a message queue according to the classification result and the sequencing result.
And a data processing layer 43 for receiving the messages in the message queue and storing the monitoring data.
It should be understood that the access apparatus for monitoring data in a cloud computing environment in this embodiment is consistent with the description of the access method for monitoring data in a cloud computing environment in the first aspect embodiment, and is not described herein again.
According to the access device for monitoring data in the cloud computing environment, the monitoring data generated by the data production layer are obtained, the monitoring data are forwarded to the back-end analysis service through load balancing, the monitoring data are analyzed through the back-end analysis service, the message queue is generated, and then the monitoring data are buffered and stored according to the message queue, so that the data processing layer can be prevented from directly interacting with the monitoring data, and the data processing performance is improved.
In order to implement the above embodiments, the present invention further provides a computer device.
The computer device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, and when the processor executes the computer program, the computer device implements the access method for monitoring data in the cloud computing environment as the embodiment of the first aspect.
In order to implement the above embodiments, the present invention also provides a non-transitory computer-readable storage medium.
The non-transitory computer readable storage medium has stored thereon a computer program, which when executed by a processor implements the method for monitoring access to data in a cloud computing environment as embodied in the first aspect.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It should be noted that in the description of the present specification, reference to the description of the term "one embodiment", "some embodiments", "an example", "a specific example", or "some examples", etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Claims (11)
1. A method for accessing monitoring data in a cloud computing environment is characterized by comprising the following steps:
acquiring monitoring data generated by a data production layer;
forwarding the monitoring data to a back-end analysis service through load balancing;
analyzing the monitoring data through the back-end analysis service and generating a message queue;
and carrying out buffer storage processing on the monitoring data according to the message queue.
2. The method of claim 1, wherein parsing the monitoring data and generating a message queue by the back-end parsing service comprises:
acquiring preset configuration related to analysis;
acquiring data attributes of the monitoring data;
classifying and sequencing the monitoring data according to the preset configuration and the data attribute;
and generating the message queue according to the classification result and the sequencing result.
3. The method of claim 1, further comprising:
and after the monitoring data is buffered and stored according to the message queue, receiving the messages in the message queue through a data processing layer and storing the monitoring data.
4. The method of claim 1, wherein obtaining monitoring data generated by a data producing formation comprises:
and uniformly receiving the monitoring data by utilizing an access gateway.
5. The method of claim 1, wherein the monitoring data comprises at least one of virtual machine data, cluster data, application data.
6. An access device for monitoring data in a cloud computing environment, comprising:
the data production layer is used for generating monitoring data;
the data access layer is used for acquiring monitoring data generated by the data production layer, forwarding the monitoring data to a back-end analysis service through load balancing, analyzing the monitoring data through the back-end analysis service, generating a message queue and buffering and storing the monitoring data according to the message queue;
and the data processing layer is used for receiving the messages in the message queue and storing the monitoring data.
7. The apparatus of claim 6, wherein the data access layer is specifically configured to:
acquiring preset configuration related to analysis;
acquiring data attributes of the monitoring data;
classifying and sequencing the monitoring data according to the preset configuration and the data attribute;
and generating the message queue according to the classification result and the sequencing result.
8. The apparatus of claim 6, wherein the data access layer is specifically configured to:
and uniformly receiving the monitoring data by utilizing an access gateway.
9. The apparatus of claim 6, in which the monitoring data comprises at least one of virtual machine data, cluster data, application data.
10. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method for monitoring access to data in a cloud computing environment as claimed in any one of claims 1 to 5.
11. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for monitoring access to data in a cloud computing environment according to any one of claims 1 to 5.
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