CN111124834B - Access method and device for monitoring data in cloud computing environment and computer equipment - Google Patents
Access method and device for monitoring data in cloud computing environment and computer equipment Download PDFInfo
- Publication number
- CN111124834B CN111124834B CN201911360331.5A CN201911360331A CN111124834B CN 111124834 B CN111124834 B CN 111124834B CN 201911360331 A CN201911360331 A CN 201911360331A CN 111124834 B CN111124834 B CN 111124834B
- Authority
- CN
- China
- Prior art keywords
- monitoring data
- data
- message queue
- monitoring
- computing environment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
-
- 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
-
- 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
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a method and a device for accessing monitoring data 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 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. According to the access method, the access device and the computer equipment for 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, then the monitoring data are buffered and stored according to the message queue, 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 present invention relates to the field of data monitoring technologies, and in particular, to a method and an apparatus for accessing monitoring data in a cloud computing environment, and a computer device.
Background
In a cloud computing environment, large-scale monitoring data can be generated in the use process of resources such as virtual machines, host clusters, application systems and the like. Under the existing cloud environment, a large amount of monitoring data access has high requirements on the expansion capacity of the platform and the capacity of the processing platform, and when the processing capacity cannot keep up with the data generation and transmission speed, the problems of data loss, downtime and the like are easy to occur. On the other hand, when the monitoring object is newly added, important availability index requirements such as how to ensure the expansion of the platform without stopping the platform are also more and more urgent. Conventional monitoring systems typically employ data to interact directly with the data processing storage portion. Due to burstiness, continuity and massive monitoring data, the situation of data loss, processing system breakdown and the like often occurs due to insufficient processing capacity of a 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 object of the present invention is to provide an access method for monitoring data in a cloud computing environment, which can avoid the interaction between a data processing layer and the monitoring data directly, and improve the data processing performance.
A second object of the present 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 present 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, the method including:
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 through the back-end analysis service and generating a message queue, including:
acquiring preset configuration related to analysis;
acquiring data attributes of the monitoring data;
classifying and sorting the monitoring data according to the preset configuration and the data attribute;
and generating the message queue according to the classification result and the ordering result.
Optionally, the method further comprises:
and after the monitoring data is subjected to buffer storage processing according to the message queue, receiving the message in the message queue through a data processing layer and storing the monitoring data.
Optionally, acquiring the monitoring data generated by the data producing layer includes:
and uniformly receiving the monitoring data by using 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 is obtained, the monitoring data is forwarded to the back-end analysis service through load balancing, the monitoring data is analyzed through the back-end analysis service, the message queue is generated, the monitoring data is buffered and stored according to the message queue, interaction between the data processing layer and the monitoring data can be avoided, and data processing performance is improved.
In order to achieve the above object, a second aspect of the present invention provides an access device 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 the back-end analysis service through load balancing, analyzing the monitoring data through the back-end analysis service, generating a message queue, and carrying out buffer storage processing on 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 sorting the monitoring data according to the preset configuration and the data attribute;
and generating the message queue according to the classification result and the ordering result.
Optionally, the data access layer is specifically configured to:
and uniformly receiving the monitoring data by using 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 is obtained, the monitoring data is forwarded to the back-end analysis service through load balancing, the monitoring data is analyzed through the back-end analysis service, the message queue is generated, and then the monitoring data is 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 in the memory and capable of running on the processor, where the processor implements an access method for monitoring data in a cloud computing environment according to the embodiment of the first aspect when executing the computer program.
In order to achieve the above object, a fourth aspect of the present invention provides a non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements an access method for monitoring data in a cloud computing environment according to the first aspect of the present invention.
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 included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a method for accessing monitoring data in a cloud computing environment according to an embodiment of the present invention;
FIG. 2 is a flow chart of parsing monitoring data by a backend parsing service and generating a message queue in accordance with one embodiment of the present invention;
FIG. 3 is a flowchart of a method for accessing monitoring data 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, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
The invention is described in further detail below in connection with specific examples which are not to be construed as limiting the scope of the invention as claimed.
The following describes a method, a device and computer equipment for accessing 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:
s1, acquiring monitoring data generated by a data production layer.
Specifically, the access gateway may be utilized to receive the monitoring data in a unified manner. Wherein the monitoring data may include at least one of virtual machine data, cluster data, and application data.
For example, the monitored resource (virtual machine, cluster, application, etc.) generates a large amount of monitoring data during the life cycle, and the monitoring data exists according to the characteristics of the monitored resource itself (continuous and intermittent coexistence, and large traffic and small traffic coexistence). In this embodiment, the monitoring data is not directly processed by the data processing layer, but an access gateway is invoked to receive the monitoring data in a unified manner.
And S2, forwarding the monitoring data to the back-end analysis service through load balancing.
After the monitoring data generated by the data production layer are obtained, the uniformly received monitoring data can be forwarded to the back-end analysis service through load balancing, and the back-end analysis service processes the monitoring data.
S3, analyzing the monitoring data through the back-end analysis service, and generating a message queue.
In this embodiment, the monitoring data is parsed by the back-end parsing service and a message queue is generated, as shown in fig. 2, and the method may further include the following steps:
s31, acquiring analysis-related preset configuration.
S32, acquiring the data attribute of the monitoring data.
Wherein, the monitored data generated by the monitored resources (virtual machine, cluster, application, etc.) have different data attributes.
S33, classifying and sequencing the monitoring data according to the preset configuration and the data attribute.
The monitoring data may be classified and ranked based on preset configuration and data attributes, thereby generating corresponding classification results and ranking results.
S34, generating a message queue according to the classification result and the ordering result.
And placing the analyzed monitoring data into a message queue for waiting processing according to the classification result and the sequencing result.
And S4, carrying out 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 and stored according to the sequence of the message queue. The method has low data transmission delay (less than 100 ms), strong concurrency capability (can be linearly increased according to the number of the monitored objects), and can support 1:1 and 1: n and other processing modes, the programming interface meets the requirements of different processing modes, and the performance of processing data 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 is obtained, the monitoring data is forwarded to the back-end analysis service through load balancing, the monitoring data is analyzed through the back-end analysis service, the message queue is generated, and then the monitoring data is 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 are buffered and stored according to the message queue, the message in the message queue is received through the data processing layer and the monitoring data are stored.
The monitoring data is firstly buffered and stored, and then the data processing layer receives the information in the information queue and stores the monitoring data, so that the situations of data loss, system crash processing and the like can be effectively prevented.
In order to achieve the above embodiment, 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 device comprises a data production layer 41, a data access layer 42 and a data processing layer 43.
A data production layer 41 for producing monitoring data.
The data access layer 42 is configured to obtain the monitoring data generated by the data production layer 41, forward the monitoring data to the back-end analysis service through load balancing, analyze the monitoring data through the back-end analysis service, generate a message queue, and buffer and store the monitoring data according to the message queue.
Wherein the data access layer 42 receives the monitoring data uniformly using the access gateway. The monitoring data includes 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.
The data processing layer 43 is configured to receive the messages in the message queue and store the monitoring data.
It should be understood that the access device for monitoring data in the cloud computing environment of the present embodiment is consistent with the description of the access method for monitoring data in the cloud computing environment of the embodiment of the first aspect, and will not be repeated here.
According to the access device for monitoring data in the cloud computing environment, the monitoring data generated by the data production layer is obtained, the monitoring data is forwarded to the back-end analysis service through load balancing, the monitoring data is analyzed through the back-end analysis service, the message queue is generated, and then the monitoring data is 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 embodiment, the present invention also proposes 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, wherein the processor realizes the access method for monitoring data in the cloud computing environment according to the embodiment of the first aspect when executing the computer program.
To achieve the above embodiments, the present invention also proposes 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 an access method for monitoring data in a cloud computing environment as in the embodiment of the first aspect.
It is noted that relational terms such as first and second, and the like are 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. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing 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 may even be paper or other suitable medium upon which the program is printed, as the program may 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 is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
It should be noted that in the description of the present specification, descriptions of terms "one embodiment," "some embodiments," "examples," "specific examples," 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 present invention. In this specification, schematic representations of the above terms are not necessarily directed 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, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," 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, schematic representations of the above terms are not necessarily directed 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, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Claims (8)
1. An access method for monitoring data in a cloud computing environment, comprising:
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;
buffering and storing the monitoring data according to the message queue;
analyzing the monitoring data through the back-end analysis service and generating a message queue, wherein the method comprises the following steps:
acquiring preset configuration related to analysis;
acquiring data attributes of the monitoring data;
classifying and sorting the monitoring data according to the preset configuration and the data attribute;
generating the message queue according to the classification result and the sequencing result;
and after the monitoring data is subjected to buffer storage processing according to the message queue, receiving the message in the message queue through a data processing layer and storing the monitoring data.
2. The method of claim 1, wherein acquiring the monitoring data generated by the data producing layer comprises:
and uniformly receiving the monitoring data by using an access gateway.
3. The method of claim 1, wherein the monitoring data comprises at least one of virtual machine data, cluster data, application data.
4. 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 the back-end analysis service through load balancing, analyzing the monitoring data through the back-end analysis service, generating a message queue, and carrying out buffer storage processing on the monitoring data according to the message queue;
the data processing layer is used for receiving the information in the information queue and storing the monitoring data;
the data access layer is specifically configured to:
acquiring preset configuration related to analysis;
acquiring data attributes of the monitoring data;
classifying and sorting the monitoring data according to the preset configuration and the data attribute;
and generating the message queue according to the classification result and the ordering result.
5. The apparatus of claim 4, wherein the data access layer is specifically configured to:
and uniformly receiving the monitoring data by using an access gateway.
6. The apparatus of claim 4, wherein the monitoring data comprises at least one of virtual machine data, cluster data, application data.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of accessing monitoring data in a cloud computing environment according to any of claims 1-3 when executing the computer program.
8. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the method of accessing monitoring data in a cloud computing environment according to any of claims 1-3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911360331.5A CN111124834B (en) | 2019-12-25 | 2019-12-25 | Access method and device for monitoring data in cloud computing environment and computer equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911360331.5A CN111124834B (en) | 2019-12-25 | 2019-12-25 | Access method and device for monitoring data in cloud computing environment and computer equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111124834A CN111124834A (en) | 2020-05-08 |
| CN111124834B true CN111124834B (en) | 2023-08-15 |
Family
ID=70502563
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911360331.5A Active CN111124834B (en) | 2019-12-25 | 2019-12-25 | Access method and device for monitoring data in cloud computing environment and computer equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111124834B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112799906A (en) * | 2021-01-20 | 2021-05-14 | 北京龙云天下科技有限公司 | Cloud host broadband statistical method |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108540341A (en) * | 2018-03-19 | 2018-09-14 | 云宏信息科技股份有限公司 | resource monitoring method and device |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9608931B2 (en) * | 2013-05-28 | 2017-03-28 | Accenture Global Services Limited | Migration assessment for cloud computing platforms |
| US10462034B2 (en) * | 2016-12-29 | 2019-10-29 | Juniper Networks, Inc. | Dynamic distribution of network entities among monitoring agents |
-
2019
- 2019-12-25 CN CN201911360331.5A patent/CN111124834B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108540341A (en) * | 2018-03-19 | 2018-09-14 | 云宏信息科技股份有限公司 | resource monitoring method and device |
Non-Patent Citations (1)
| Title |
|---|
| 臧冬松 ; Vincent Garonne ; 孙功星 ; .一种大规模分布式应用性能分析系统.计算机工程.2012,(24),第37-41页. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111124834A (en) | 2020-05-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3799390A1 (en) | Preemptive scheduling based resource sharing use method, system and | |
| US9268663B1 (en) | Software testing analysis and control | |
| CN105900064A (en) | Method and apparatus for scheduling data flow task | |
| US10572285B2 (en) | Method and apparatus for elastically scaling virtual machine cluster | |
| US20140282540A1 (en) | Performant host selection for virtualization centers | |
| EP4167149A1 (en) | Method and apparatus for building predictive model, computing device, and storage medium | |
| CN112130996A (en) | Data monitoring control system, method and device, electronic equipment and storage medium | |
| CN111522786A (en) | Log processing system and method | |
| EP4172768A1 (en) | Rightsizing virtual machine deployments in a cloud computing environment | |
| CN111124834B (en) | Access method and device for monitoring data in cloud computing environment and computer equipment | |
| CN108415765B (en) | Task scheduling method and device and intelligent terminal | |
| CN112925634A (en) | Heterogeneous resource scheduling method and system | |
| CN112860401B (en) | Task scheduling method, device, electronic equipment and storage medium | |
| CN112783661B (en) | Memory deduplication method and device suitable for container environment | |
| CN113746883B (en) | Link tracking method and system | |
| CN110865919B (en) | Monitoring method and device based on java process and computer equipment | |
| CN112559565A (en) | Abnormity detection method, system and device | |
| CN111274032A (en) | Task processing system and method, and storage medium | |
| CN111046007B (en) | Method, apparatus and computer program product for managing a storage system | |
| CN111859139A (en) | Application program recommendation method and device, computing equipment and medium | |
| CN116126937A (en) | Job scheduling method, job scheduling device, electronic equipment and storage medium | |
| CN114500290A (en) | Method, device, equipment and medium for generating cloud platform gateway node detection topology | |
| CN111459653B (en) | Cluster scheduling method, device and system and electronic equipment | |
| CN111694739A (en) | Interface test method, device, equipment and storage medium | |
| CN109324871B (en) | Virtual machine hardware configuration method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Zeng Bing Inventor after: He Mujun Inventor after: Fan Yufeng Inventor after: Zeng Yuhang Inventor after: Sun Hongtao Inventor before: Zeng Bing |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |