CN110764877A - Virtual laboratory system and method based on cloud computing - Google Patents
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Abstract
The invention discloses a virtual laboratory system based on cloud computing, which comprises: the system comprises a database, a communication module, a server, a management system, a monitoring system and a virtual laboratory system, wherein the virtual laboratory system generates an online virtual laboratory by using a virtualization technology, is connected with the server through the communication module, performs online testing through the management system and the monitoring system, generates an experimental track, and transmits generated information to the database. The invention can conveniently realize the on-line test of students and generate the experiment track through the on-line virtual experiment system, and meanwhile, teachers can also evaluate the experiment result in real time.
Description
Technical Field
With the development of society and the importance of science and technology and education, it is clear that science and technology and education are regarded as the major development of the country in all countries in the world, along with the popularization of the internet, the modern education based on computer network is gradually paid attention by educators and politicians, how to effectively utilize network education in the current society with high-speed development of information technology and knowledge economy becomes one of the major problems of governments in all countries in the world, and various special plans are formulated and implemented accordingly. Along with the popularization of the current network technology and the combination of the current mature cloud computing technology, a wide space and technical foundation is certainly provided for the development of an education platform based on cloud computing, the mobile learning of any place, any time and any mode is really realized, and the education cloud product is produced accordingly.
The migration of cloud computing in the education field is called as 'education cloud', and the cloud computing is a basic framework of future education informatization, comprises all hardware computing resources necessary for education informatization, provides a good platform for education institutions, education practitioners and students after the resources are virtualized, and the platform is used for providing cloud services for the education field. Educational Clouds include many forms of "Cloud Computing Assisted Education" (CCAI) and Cloud Computing Based Education (CCBE). Cloud Computing Assisted Instruction (CCAI) means that schools and teachers utilize education cloud services supported by cloud computing to construct an information environment for personalized teaching, support effective teaching of the teachers and active learning of students, promote advanced thinking ability and crowd wisdom development of the students, and improve education quality. The cloud service brought by cloud computing is fully utilized to provide resource sharing and unlimited storage space convenience for teaching. Cloud computing assisted Education (CCBE), alternatively referred to as "cloud computing-based Education," refers to the use of services provided by cloud computing to assist in educational activities in various areas of Education. The cloud computing auxiliary education is a new subject concept, belongs to the cross field of computer science and education science, focuses on the sum of various elements in the education activities of the future cloud computing era, mainly explores the application rule of the services provided by the cloud computing in the education and teaching, supports and fuses with the mainstream learning theory, and designs and manages corresponding education and teaching resources and processes.
At present, the practical application of the education cloud in the education field is a three-in-one intelligent education cloud platform researched and developed by an Asian education network according to the requirement of 'quality education cloud platform' of the twelve-five planning of China. An Asian education network quality education cloud platform in 2010 obtains a unique innovation prize in the education informatization application field of education departments, a video education teaching platform is in an advanced position in a similar distance education platform, and a teaching resource platform and an education social platform are integrated and applied to be the most abundant platform in China. The Asian education network quality education cloud platform in month 2 of 2012 formally becomes a twelve and five planning topic for national planning. Although the platform starts earlier and has a higher starting point, the platform is mainly oriented to schools in basic education stages, such as vast middle and primary schools, focuses on the contents of home and school interaction, English learning, Internet fine class and the like, and only a small part of contents such as score statistics, attendance statistics and the like are suitable for the universities and the colleges.
However, the current situation of most colleges mainly has the following problems:
1. teaching management is not completely informationized. The main performance is that the roll call in class wastes time and energy, a teacher can not record and track the progress and state of students learning at ordinary times, the classroom can not feed back and count the real situation of the knowledge points of students in real time, the operation is collected and corrected, time is consumed, and the students can not be fed back in time, the difficulty of classroom test is high, and real-time statistics, real-time feedback and the like can not be carried out.
2. The examination informatization degree is low, and the examination informatization degree mainly depends on paper. The method mainly shows that teachers have huge workload, and work such as examination paper output, paper change, score input and the like; the method has the advantages that real-time supervision cannot be carried out, no examination lack supervision exists, and no real-time data statistics exists; the test paper of the adjacent table is the same, and the cheating phenomenon is common.
3. No knowledge base of known presence is formed. Such as curriculum library, knowledge library, job library, test question library, test paper library, etc. are not informationized.
Disclosure of Invention
The invention aims to provide a virtual laboratory system and a virtual laboratory method based on cloud computing, which can conveniently realize on-line testing of students and generate experimental tracks, and meanwhile, teachers can evaluate experimental results in real time.
A cloud computing based virtual laboratory system comprising: the system comprises a database, a communication module, a server, a management system, a monitoring system and a virtual laboratory system, wherein the virtual laboratory system generates an online virtual laboratory by using a virtualization technology, is connected with the server through the communication module, performs online testing through the management system and the monitoring system, generates an experimental track, and transmits generated information to the database.
Further, the virtual laboratory system generates an online virtual room through a cloud platform virtualization technology and a container technology.
Further, the database includes a virtualized container database and a virtual laboratory system database.
Furthermore, the management system and the monitoring system are subsystems of the virtual laboratory system, and are respectively used for teachers to manage the virtual laboratory system and monitor the experiment process of students in real time.
Further, the user terminal comprises one or more of a PC, a mobile phone or a tablet.
A cloud computing based virtual laboratory method comprising the steps of:
s1: starting a task, and scanning the distribution condition of the virtual laboratory;
s2: establishing an online virtual laboratory, distributing the virtual laboratory and carrying out online testing;
s3: monitoring whether an error occurs in the task execution process;
s4: and (5) finishing the test, and deleting the distributed online virtual room.
Further, the step S1 includes the following steps:
s11: updating the state of the virtual laboratory, and creating a task according to an experimental object and adding the task to a task queue;
s12: judging whether the information of the student virtual machines is complete or not, and judging whether the current student virtual machines can be hung with personal disks or not;
s13: and executing the operation of mounting the personal disk and updating the use state of the personal disk.
Further, the step S2 includes the following steps:
s21: creating a student virtual machine, and sending a virtual machine creating command to a server;
s22: obtaining the return information of the server and judging whether the creation is successful or not;
s23: if the creation is successful, storing the id, the login account and the login password of the corresponding virtual machine, and updating the creation log;
s24: and if the creation is failed, the creation state is not updated, and the current task is moved out of the queue.
Further, the step S2 includes the following steps:
s31: triggering a timed task event and judging whether the task is overtime or not;
s32: if yes, resetting the task queue;
s33: allocating a reset task to enter the next period;
s34: and if the reset task has errors for many times, waiting for an administrator to repair the type of errors.
Further, the step S4 includes the following steps:
s41: acquiring a student personal disk id and a virtual machine id according to a data source;
s42: executing the operation of unloading the disk and updating the disk state information;
s43: requesting a server to delete a corresponding virtual machine, updating deletion information, and clearing an ip address, a login account, a login password and a virtual machine id;
s44: and ending the current execution task and moving the current task out of the queue.
Has the advantages that: the invention forms an online laboratory through a virtual laboratory system, integrates system resources by utilizing cloud computing and container technology, can conveniently realize online test of students and generate experimental tracks, and meanwhile, teachers can evaluate experimental results in real time.
Drawings
FIG. 1 is a schematic diagram of a virtual laboratory system based on cloud computing;
FIG. 2 is a system architecture diagram of a virtual laboratory based on cloud computing;
fig. 3 is a schematic diagram of a method for a cloud computing based virtual laboratory.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the invention, specific embodiments thereof will now be described with reference to the accompanying drawings.
Specific embodiment as shown in fig. 1, a virtual laboratory system based on cloud computing includes: the system comprises a database, a communication module, a server, a management system, a monitoring system and a virtual laboratory system, wherein the virtual laboratory system generates an online virtual laboratory by using a virtualization technology, is connected with the server through the communication module, performs online testing through the management system and the monitoring system, generates an experimental track, and transmits generated information to the database.
The virtual laboratory system generates an online virtual room through a cloud platform virtualization technology and a container technology; the database comprises a virtualized container database and a virtual laboratory system database; the management system and the monitoring system are subsystems of a virtual laboratory system and are respectively used for teachers to manage the virtual laboratory system and monitor the experiment process of students in real time; the user terminal comprises one or more of a PC, a mobile phone or a tablet.
As shown in fig. 2, a specification system of a cloud computing-based virtual laboratory includes a user layer, an application support layer, a virtualization layer, and a data storage layer, wherein the user layer includes student users, administrators, and teacher users; the application layer comprises an experiment environment, a creation experiment, a distribution experiment and a monitoring experiment; the application support layer comprises a user center, a course center, virtualization to manage and container management; the virtualization layer comprises a virtualization technology and a container technology; the data storage layer comprises a virtualization and container database and a virtual laboratory system database.
As shown in fig. 3, a virtual laboratory method based on cloud computing includes the following steps:
s1: starting a task, and scanning the distribution condition of the virtual laboratory;
s2: establishing an online virtual laboratory, distributing the virtual laboratory and carrying out online testing;
s3: monitoring whether an error occurs in the task execution process;
s4: and (5) finishing the test, and deleting the distributed online virtual room.
The step S1 includes the following steps: and scanning the distribution records of the experiment, starting or closing the experiment according to the start time and the end time of the experiment, updating the state of the experiment, and creating a task according to the experiment object to be added into the task queue. And simultaneously checking whether the information of the student virtual machines is complete, and if the information is incomplete, acquiring the states of the corresponding virtual machines and supplementing the information. And if the current virtual machine of the student can be used for mounting the personal disk, and the disk state is checked to be available, executing the operation of mounting the personal disk, and updating the use state of the personal disk. The scanning phase looks to check whether the task is repeated.
The step S2 includes the following steps: and appointing a user to create a virtual machine, acquiring the snapshot id and the hardware configuration of the experimental environment according to the data source, generating a virtual machine creating command, sending the virtual machine creating command to the server, and acquiring the return information. If the creation is successful, saving the corresponding virtual machine id, login account number and login password, saving the task log, and updating the creation state. If the creation fails, the error information is saved in a task log, and the creation state is not updated. And when the current task is finished, moving the current task out of the task queue, and starting to execute the next task after waiting for 10 s.
The step S3 includes the following steps: when the task execution has an error, the task is removed from the task queue without any processing, when the current period of the task is finished and the next period is entered, the task queue is re-entered in the scanning stage, in order to prevent the infinite circulation of the wrong task, the same type of error of the same task does not enter the task queue when reaching 3 times, the same type of error needs to be repaired by a manager before entering the task queue, and the single operation of the monitoring page of a teacher is not influenced in the period. In order to avoid entering a 'false death' state due to unexpected factors in the execution process, a new script started by the scheduled task is triggered at regular time each time, whether the task being executed is overtime is checked firstly, the time-out limit is limited to 10 minutes, and if the task is overtime, the task queue resetting operation is executed; if the task does not time out, the completion check does not perform any operation.
The step S4 includes the following steps: and acquiring a user personal disk id and a virtual machine id according to a data source, if a personal disk is mounted, executing disk unloading operation, updating disk state information, delaying for 3s, requesting a server to delete a corresponding virtual machine, and updating information such as a deletion state, an empty ip address, a login account, a login password and the virtual machine id. And saving the task log. And when the current task is finished, moving the current task out of the task queue, and starting to execute the next task after waiting for 3 s.
The foregoing shows and describes the general principles and features of the invention, together with the advantages thereof. It will be understood by those skilled in the art that the invention is not limited to the embodiments described above, which are given by way of illustration of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A cloud computing-based virtual laboratory system, comprising: the system comprises a database, a communication module, a server, a management system, a monitoring system and a virtual laboratory system, wherein the virtual laboratory system generates an online virtual laboratory by using a virtualization technology, is connected with the server through the communication module, performs online testing through the management system and the monitoring system, generates an experimental track, and transmits generated information to the database.
2. The cloud computing-based virtual laboratory system according to claim 1, wherein said virtual laboratory system generates an online virtual room by cloud platform virtualization technology and container technology.
3. The cloud computing-based virtual laboratory system according to claim 1, wherein said database comprises a virtualized container database and a virtual laboratory system database.
4. The virtual laboratory system based on cloud computing as claimed in claim 1, wherein said management system and monitoring system are subsystems of the virtual laboratory system, and are respectively used for teachers to manage the virtual laboratory system and monitor the experiment process of students in real time.
5. The cloud-computing-based virtual laboratory system according to claim 1, wherein said user terminal comprises one or more of a PC, a cell phone, or a tablet.
6. A virtual laboratory method based on cloud computing is characterized by comprising the following steps:
s1: starting a task, and scanning the distribution condition of the virtual laboratory;
s2: establishing an online virtual laboratory, distributing the virtual laboratory and carrying out online testing;
s3: monitoring whether an error occurs in the task execution process;
s4: and (5) finishing the test, and deleting the distributed online virtual room.
7. The cloud computing-based virtual laboratory method according to claim 1, wherein said step S1 comprises the steps of:
s11: updating the state of the virtual laboratory, and creating a task according to an experimental object and adding the task to a task queue;
s12: judging whether the information of the student virtual machines is complete or not, and judging whether the current student virtual machines can be hung with personal disks or not;
s13: and executing the operation of mounting the personal disk and updating the use state of the personal disk.
8. The cloud computing-based virtual laboratory method according to claim 7, wherein said step S2 comprises the steps of:
s21: creating a student virtual machine, and sending a virtual machine creating command to a server;
s22: obtaining the return information of the server and judging whether the creation is successful or not;
s23: if the creation is successful, storing the id, the login account and the login password of the corresponding virtual machine, and updating the creation log;
s24: and if the creation is failed, the creation state is not updated, and the current task is moved out of the queue.
9. The cloud computing-based virtual laboratory method according to claim 7, wherein said step S2 comprises the steps of:
s31: triggering a timed task event and judging whether the task is overtime or not;
s32: if yes, resetting the task queue;
s33: allocating a reset task to enter the next period;
s34: and if the reset task has errors for many times, waiting for an administrator to repair the type of errors.
10. The cloud computing-based virtual laboratory method according to claim 7, wherein said step S4 comprises the steps of:
s41: acquiring a student personal disk id and a virtual machine id according to a data source;
s42: executing the operation of unloading the disk and updating the disk state information;
s43: requesting a server to delete a corresponding virtual machine, updating deletion information, and clearing an ip address, a login account, a login password and a virtual machine id;
s44: and ending the current execution task and moving the current task out of the queue.
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