CN111045787B - Rapid continuous experiment method and system - Google Patents

Rapid continuous experiment method and system Download PDF

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Publication number
CN111045787B
CN111045787B CN201911221853.7A CN201911221853A CN111045787B CN 111045787 B CN111045787 B CN 111045787B CN 201911221853 A CN201911221853 A CN 201911221853A CN 111045787 B CN111045787 B CN 111045787B
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experiment
instance
virtual machine
interface
database
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CN111045787A (en
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吴远明
周建航
温振环
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Guangzhou Vcmy Technology Co ltd
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Guangzhou Vcmy Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45575Starting, stopping, suspending or resuming virtual machine instances
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45595Network integration; Enabling network access in virtual machine instances

Abstract

The invention discloses a rapid continuous experimental method, which comprises the following steps: acquiring an experiment starting instruction and experiment configuration parameters; after an experiment starting instruction is acquired, identifying and searching an instance number and a node number associated with an experiment configuration parameter in a database; when the identification and the search are successful, returning the associated instance number and the node number; when the search failure is identified, creating a virtual machine instance according to the experimental configuration parameters, generating and returning a new instance number and a new node number, and storing the created virtual machine instance in a database; obtaining a network address according to the returned instance number and the node number and calling the network address to enter an experimental interface; according to the invention, the created virtual machine instance is stored in the database, and when the experiment is started again, the instance in the database is called to carry out the experiment interface, so that the technical problem that the efficiency of entering the experiment is low because the instance needs to be created again each time of starting the experiment is solved, the experiment starting efficiency is improved, and the rapid continuous experiment is realized.

Description

Rapid continuous experiment method and system
Technical Field
The invention relates to the field of cloud computing systems, in particular to a rapid continuous experiment method and system.
Background
The practical training cloud system is a system platform for training test, when a user starts an experiment through the practical training cloud system, the cloud platform can create and open a virtual machine, when the user completes the experiment, the cloud platform can close and delete the virtual machine, and the virtual machine environment of each opening of the cloud platform is an initialized state, so that each time the user requests to start the experiment, the cloud platform is required to be requested to create and open the virtual machine, and the process is long in time consumption. Therefore, a method for realizing rapid continuing of the experiment is highly needed to improve the starting efficiency of the experiment.
Disclosure of Invention
The invention provides a method and a system for rapidly continuing experiments, which are used for storing created virtual machine examples in a database, and calling the examples in the database to perform an experiment interface when the experiments are started again, so as to solve the technical problem that the efficiency of entering the experiments is low because the examples are required to be re-created when the experiments are started each time in the prior art, thereby improving the starting efficiency of the experiments and realizing rapid continuing experiments.
In order to solve the technical problems, the embodiment of the invention provides a rapid continuous experimental method, which comprises the following steps:
acquiring an experiment starting instruction and experiment configuration parameters;
after the experiment starting instruction is acquired, identifying and searching an instance number and a node number associated with the experiment configuration parameter in a database;
returning the associated instance number and node number when the identification search is successful; when the search is identified to be failed, creating a virtual machine instance according to the experimental configuration parameters, generating and returning a new instance number and a new node number, and storing the created virtual machine instance in a database;
and obtaining a network address according to the returned instance number and the node number and calling the network address to enter an experimental interface.
Preferably, after entering the experimental interface, the method further comprises: and storing configuration data of experiments performed by the user in a database.
As a preferred solution, the rapid continuing experimental method further includes: and deleting the virtual machine instance stored in the database when judging that the virtual machine instance exceeds a preset time period.
Preferably, the experimental configuration parameters include: CPU core number, virtual memory value and hard disk storage value.
Preferably, the creating a virtual machine instance according to the experimental configuration parameters specifically includes:
acquiring the manufactured mirror image file and experimental configuration parameters;
and creating a virtual machine instance according to the experimental configuration parameters through the manufactured image file, and generating an instance number and a node number.
The embodiment of the invention also provides a rapid continuing experiment system, which comprises:
the parameter acquisition module is used for acquiring an experiment starting instruction and an experiment configuration parameter;
the identification searching module is used for carrying out identification searching on the instance number and the node number associated with the experimental configuration parameter in a database after the experimental opening instruction is acquired;
the number returning module is used for returning the associated instance number and node number when the identification and the search are successful; when the search is identified to be failed, creating a virtual machine instance according to the experimental configuration parameters, generating and returning a new instance number and a new node number, and storing the created virtual machine instance in a database;
and the entering experiment module is used for obtaining a network address according to the returned instance number and the node number and calling the network address to enter an experiment interface.
As a preferred solution, the rapid continuing experiment system further comprises: and the configuration storage module is used for storing the configuration data of the experiment performed by the user in the database after entering the experiment interface.
As a preferred solution, the rapid continuing experiment system further comprises: and the instance deleting module is used for deleting the virtual machine instance stored in the database when judging that the virtual machine instance exceeds a preset time period.
The embodiment of the invention also provides a computer readable storage medium, which comprises a stored computer program; wherein the computer program, when run, controls a device in which the computer readable storage medium resides to perform the rapid continuation method of experiment as described in any one of the above.
The embodiment of the invention also provides a terminal device, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor realizes the rapid continuing experiment method according to any one of the above when executing the computer program.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the invention, the created virtual machine instance is stored in the database, and when the experiment is started again, the instance in the database is called to carry out the experiment interface, so that the technical problem that the efficiency of entering the experiment is low because the instance needs to be re-created every time the experiment is started in the prior art is solved, the experiment starting efficiency is improved, and the rapid continuous experiment is realized.
Drawings
Fig. 1: the method is a flow chart of the steps of the rapid continuous experimental method in the embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a preferred embodiment of the present invention provides a rapid continuing experiment method, which includes:
s1, acquiring an experiment starting instruction and experiment configuration parameters; in this embodiment, the experimental configuration parameters include: CPU core number, virtual memory value and hard disk storage value.
S2, after the experiment starting instruction is obtained, identifying and searching an instance number and a node number associated with the experiment configuration parameter in a database.
S3, returning the associated instance number and node number when the identification and the search are successful; when the search is identified to be failed, creating a virtual machine instance according to the experimental configuration parameters, generating and returning a new instance number and a new node number, and storing the created virtual machine instance in a database; in this embodiment, the creating a virtual machine instance according to the experimental configuration parameter specifically includes: acquiring the manufactured mirror image file and experimental configuration parameters; and creating a virtual machine instance according to the experimental configuration parameters through the manufactured image file, and generating an instance number and a node number.
S4, obtaining a network address according to the returned instance number and the node number and calling the network address to enter an experimental interface.
Specifically, after an experiment is started, a user firstly goes to a database to inquire whether an instance number and a node number of the experiment exist, if so, an interface of a cloud platform is called to take a route through the two parameters (the instance number and the node number), and the operation interface of the virtual machine can be accessed through the route without waiting for the creation of the cloud platform and starting of the virtual machine. Otherwise, parameters (cpu core number, ram memory size, disk hard disk size) of the current experiment are called to the interface of the cloud platform through a method of remote calling the interface, so that an instance is created for starting the virtual machine, and meanwhile, an instance number and a node number are returned. The virtual machine operation interface can be accessed by repeating the operations through the two parameters.
And transmitting configuration parameters to an interface of the cloud platform by using a method for remotely calling the interface in the training cloud system, and creating the system by the interface through the configuration parameters and returning the route of the system. The training cloud system takes the route; the system is accessible through routing.
In this embodiment, after entering the experimental interface, the method further includes: s5, storing configuration data of experiments performed by the user in a database.
Specifically, when a user performs an experiment, a problem often occurs that when the user performs a complex experiment, because the experiment content is relatively more and a series of complicated configurations need to be performed, if the user cannot save the current progress and needs to perform the configuration again when the experiment is continued next time under the condition that the experiment is performed halfway and the emergency probably needs to be processed, the workload of the user is greatly increased and the user experience is affected. In order to solve the problem, the method also saves the configuration of the experiment recently performed by the user in the database (detailed information of the configuration is not listed one by one), namely, the instance is not deleted. We can restore to the previous experimental state for the user through the currently saved configuration.
In this embodiment, the rapid continuing experiment method further includes: and S6, deleting the virtual machine instance stored in the database when judging that the virtual machine instance exceeds a preset time period.
Specifically, in order to avoid wasting platform resources, the practical training cloud system limits the number of experiments started by the user, but this cannot solve the problem of avoiding wasting resources, and because the method can save the latest experimental configuration of the user, the method also needs to further perform operations (deleting examples) of periodically deleting the experimental configuration, and simultaneously limits the number of the experimental configuration of the user to save, so that a large number of start-stop experiments of the user in the period of deleting the experimental operation are avoided to increase the experimental records.
After a user logs in the practical training cloud system, the system detects that the current user has an opened experiment, a small window is popped up at the lower right corner of the interface, a window list shows the experiment that the current user has opened, each experiment has a continue button and a stop button, the user clicks the continue button, the number of the current experiment is sent to an instance number and a node number table stored in a database to be matched, the corresponding route can be obtained by taking the corresponding instance number and the node number, and the user can realize rapid continuing of the experiment without waiting for loading of a virtual machine.
The invention has the advantages that: by storing the latest experimental configuration, the process interruption caused by the sudden event of the user is avoided, and the user can conveniently recover to the previous experimental environment. The method comprises the steps of periodically deleting experiment configuration, limiting the number of the started experiments and limiting the stored experiment configuration, and preventing malicious start-stop experiments from increasing the storage of experiment configuration records, so that the damage of platform resources is increased, and the system performance is influenced. The repeated operation of creating examples is not needed in the process of continuing the experiment, so that the waiting time of starting the experiment by a user is greatly reduced.
Correspondingly, the embodiment of the invention also provides a rapid continuing experiment system, which comprises the following steps:
the parameter acquisition module is used for acquiring an experiment starting instruction and an experiment configuration parameter;
the identification searching module is used for carrying out identification searching on the instance number and the node number associated with the experimental configuration parameter in a database after the experimental opening instruction is acquired;
the number returning module is used for returning the associated instance number and node number when the identification and the search are successful; when the search is identified to be failed, creating a virtual machine instance according to the experimental configuration parameters, generating and returning a new instance number and a new node number, and storing the created virtual machine instance in a database;
and the entering experiment module is used for obtaining a network address according to the returned instance number and the node number and calling the network address to enter an experiment interface.
In this embodiment, the rapid continuing experiment system further includes: and the configuration storage module is used for storing the configuration data of the experiment performed by the user in the database after entering the experiment interface.
In this embodiment, the rapid continuing experiment system further includes: and the instance deleting module is used for deleting the virtual machine instance stored in the database when judging that the virtual machine instance exceeds a preset time period.
The embodiment of the invention also provides a computer readable storage medium, which comprises a stored computer program; the computer program controls the device in which the computer readable storage medium is located to execute the rapid continuing experimental method according to any one of the embodiments.
The embodiment of the invention also provides a terminal device, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor realizes the rapid continuing experiment method in any embodiment when executing the computer program.
Preferably, the computer program may be divided into one or more modules/units (e.g., computer program) stored in the memory and executed by the processor to perform the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used for describing the execution of the computer program in the terminal device.
The processor may be a central processing unit (Central Processing Unit, CPU), or may be other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc., or the general purpose processor may be a microprocessor, or any conventional processor, which is the control center of the terminal device, that connects the various parts of the terminal device using various interfaces and lines.
The memory mainly includes a program storage area, which may store an operating system, an application program required for at least one function, and the like, and a data storage area, which may store related data and the like. In addition, the memory may be a high-speed random access memory, a nonvolatile memory such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), or the like, or may be other volatile solid-state memory devices.
It should be noted that the above-mentioned terminal device may include, but is not limited to, a processor, a memory, and those skilled in the art will understand that the above-mentioned terminal device is merely an example, and does not constitute limitation of the terminal device, and may include more or fewer components, or may combine some components, or different components.
The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present invention, and are not to be construed as limiting the scope of the invention. It should be noted that any modifications, equivalent substitutions, improvements, etc. made by those skilled in the art without departing from the spirit and principles of the present invention are intended to be included in the scope of the present invention.

Claims (10)

1. A rapid continuing method of experimentation comprising:
acquiring an experiment starting instruction and experiment configuration parameters;
after the experiment starting instruction is acquired, identifying and searching an instance number and a node number associated with the experiment configuration parameter in a database;
returning the associated instance number and node number when the identification search is successful; when the search is identified to be failed, creating a virtual machine instance according to the experimental configuration parameters, generating and returning a new instance number and a new node number, and storing the created virtual machine instance in a database;
obtaining a network address according to the returned instance number and the node number and calling the network address to enter an experimental interface;
the virtual machine instance is created according to the experimental configuration parameters, and new instance numbers and node numbers are generated and returned, specifically: the method comprises the steps that experimental configuration parameters of a current experiment are called an interface creation instance of a cloud platform through a remote interface calling method to start a virtual machine, and meanwhile an instance number and a node number are returned; the method for calling the interface remotely comprises the following steps: the experimental configuration parameters are transmitted to an interface of the cloud platform, the interface establishes a system through the experimental configuration parameters, and the route of the system is returned;
when the fact that the user has an opened experiment is detected, after the user clicks a continue button, the corresponding number of the current experiment is matched with the example number and the node number table stored in the database, and the corresponding example number and the node number are obtained, so that the corresponding route is obtained;
the operation interface of the virtual machine can be accessed through the route.
2. The rapid succession method of claim 1, further comprising, after entering the experimental interface: and storing configuration data of experiments performed by the user in a database.
3. The rapid succession assay method of claim 1, further comprising: and deleting the virtual machine instance stored in the database when judging that the virtual machine instance exceeds a preset time period.
4. The rapid succession method of claim 1, wherein the experimental configuration parameters comprise: CPU core number, virtual memory value and hard disk storage value.
5. The rapid continuing experiment method according to claim 1, wherein the creating a virtual machine instance according to the experimental configuration parameters specifically comprises:
acquiring the manufactured mirror image file and experimental configuration parameters;
and creating a virtual machine instance according to the experimental configuration parameters through the manufactured image file, and generating an instance number and a node number.
6. A rapid succession assay system comprising:
the parameter acquisition module is used for acquiring an experiment starting instruction and an experiment configuration parameter;
the identification searching module is used for carrying out identification searching on the instance number and the node number associated with the experimental configuration parameter in a database after the experimental opening instruction is acquired;
the number returning module is used for returning the associated instance number and node number when the identification and the search are successful; when the search is identified to be failed, creating a virtual machine instance according to the experimental configuration parameters, generating and returning a new instance number and a new node number, and storing the created virtual machine instance in a database;
the entering experiment module is used for obtaining a network address according to the returned instance number and the node number and calling the network address to enter an experiment interface;
the virtual machine instance is created according to the experimental configuration parameters, and new instance numbers and node numbers are generated and returned, specifically: the method comprises the steps that experimental configuration parameters of a current experiment are called an interface creation instance of a cloud platform through a remote interface calling method to start a virtual machine, and meanwhile an instance number and a node number are returned; the method for calling the interface remotely comprises the following steps: the experimental configuration parameters are transmitted to an interface of the cloud platform, the interface establishes a system through the experimental configuration parameters, and the route of the system is returned;
when the fact that the user has an opened experiment is detected, after the user clicks a continue button, the corresponding number of the current experiment is matched with the example number and the node number table stored in the database, and the corresponding example number and the node number are obtained, so that the corresponding route is obtained;
the operation interface of the virtual machine can be accessed through the route.
7. The rapid succession experiment system of claim 6, further comprising: and the configuration storage module is used for storing the configuration data of the experiment performed by the user in the database after entering the experiment interface.
8. The rapid succession experiment system of claim 6, further comprising: and the instance deleting module is used for deleting the virtual machine instance stored in the database when judging that the virtual machine instance exceeds a preset time period.
9. A computer readable storage medium, wherein the computer readable storage medium comprises a stored computer program; wherein the computer program, when run, controls a device in which the computer readable storage medium is located to perform the rapid continuation experimental method according to any one of claims 1-5.
10. A terminal device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the rapid continuation method of any one of claims 1-5 when the computer program is executed.
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