Construction of Management System Based on Cloud Technology

Lin Shao

School of Media & Communication, Wuhan Textile University, Wuhan, Hubei, 430073, China

Keywords: Cloud Technology, Construction, Management System.

Abstract: This article explores the construction of a management system based on cloud computing technology. With

the rapid development of cloud computing technology, enterprises and organizations are increasingly relying

on cloud services to optimize their business processes and improve efficiency. This article first analyzes the

characteristics and advantages of cloud computing technology, such as flexibility, scalability, and cost-

effectiveness. Then, a cloud based management system architecture was proposed, which includes three

levels: cloud infrastructure, cloud platform, and cloud application. Next, the core functions of the management

system, such as data management, user management, and system monitoring, were introduced in detail, and

how to utilize cloud computing technology to achieve these functions was discussed. Finally, this article

discusses the implementation challenges and future development directions of cloud based management

systems. Experiments and practical application cases have shown that cloud based management systems can

significantly improve the operational efficiency of enterprises, reduce costs, and improve data security and

reliability.

1 INTRODUCTION

In the environment of information technology

development, the application of information

technology in experimental teaching has received

more and more attention. Experimental teaching is an

important practical link in talent training in colleges

and universities. It plays an indispensable role in the

cultivation of students' ability (Feng, 2017).

University laboratories are divided into basic

laboratories and professional laboratories, most of

which are set up according to their specialties for

practical teaching of each specialty (Zhao and Liu, et

al. 2019). At present, many colleges and universities

have formed disciplines with multiple development

directions, such as computer network, computer

communication, computer software, multimedia

technology, etc., and the laboratories and equipment

required in all directions have been completed (Yu

and Dong et al. 2017). The management of

laboratories plays an indispensable role in

experimental teaching in universities all over the

world (Cui, 2018). The open laboratory management

pays more attention to openness and can be flexibly

applied to experimental teaching. With the open

laboratory management system, students can make an

online reservation for the experimental platform,

conduct experiments at the corresponding time, and

automatically turn on the corresponding power

supply of the experimental platform by swiping the

student card (Jing-Bin and Duan, 2019). The reform

of laboratory management in colleges and

universities has not fundamentally solved the

problem of laboratory management in experimental

teaching. Laboratory equipment management,

computer room management, student experiment

management and the opening mode of the laboratory

have not been fundamentally improved (Yan, 2018).

Each computer in the laboratory is equipped with

a host, which greatly increases the construction cost

of the laboratory. The equipment consumes a lot of

power, causing waste of resources. When faced with

the mutual infection of viruses within the LAN, the

upgrading and maintenance of the operating system,

and the updating of teaching applications, it takes a

lot of time to rebuild the experimental teaching

environment, which often affects the normal

experimental teaching (Zhang and Zhou, et al. 2018).

In addition, the data of students' computer

experiments can not be stored on the machine, but can

only be stored by themselves through mobile storage

devices, which will infect the machines in the

laboratory and burden the later maintenance and use

(Zhu and Wei, et al. 2017). These problems have

seriously affected the development of the laboratory.

We should change our concept, establish a modern

Shao, L.

Construction of Management System Based on Cloud Technology.

DOI: 10.5220/0013551100004664

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 3rd International Conference on Futuristic Technology (INCOFT 2025) - Volume 1, pages 563-568

ISBN: 978-989-758-763-4

563

teaching and research laboratory that is compatible

with the past, based on the modern, and oriented to

the future, so that today's experimental equipment and

means can adapt to the rapidly changing era and

constantly improving technology (Huang and Quan,

et al. 2019). Throughout the development process of

instruments, equipment and experimental technology,

we can use less money, less experimental system

development and maintenance costs, and less time to

achieve the experimental environment required for a

variety of experiments. Each new major needs to

build a corresponding professional laboratory. In

addition, the old professional laboratory needs to be

constantly updated and transformed, which leads to

the increasing task of professional laboratory

construction in colleges and universities, and more

and more problems need to be studied and discussed

(Yujia and Zhang, et al. 2019). Based on cloud

technology, this paper further studies the construction

of university laboratory and management system.

2 CLOUD TECHNOLOGY

THEORY

Cloud technology is a usage mode of IT resources. It

is a technology that provides ubiquitous, convenient

and on-demand network access to shared and

configurable computing resources. The use and

release of resources can be carried out quickly

without much management cost. Cloud computing is

a mode that can acquire computing resources and

improve their usability in a convenient and on-

demand way through the network. These resources

come from a shared and configurable resource pool,

and can acquire and release resources in a simple and

unattended way. At present, there are many

explanations and definitions of cloud computing in

the network. It can be understood as a commercial

product of the comprehensive development of

distributed computing, parallel processing and grid

computing. It is an abstract method to represent

computer resources. Through virtualization, the

abstract resources can be accessed in the same way as

the pre-abstract resources, thus reducing the operating

cost. High flexibility and automation, service creation,

resource allocation, service configuration, service

online and service start-up, service stop, service

offline, service configuration deletion and resource

recovery, and dynamic management of service life

cycle. A common abstract interface set can be

provided for a group of similar resources, thus hiding

the differences between attributes and operations, and

allowing resources to be viewed and maintained in a

common way, including server virtualization, storage

virtualization, application virtualization, platform

virtualization, desktop virtualization.

The primary value of cloud computing is mainly

manifested in scale expansion, resource sharing can

greatly reduce the unit cost of operation and increase

the number of users; Service sharing can reduce the

cost paid by users, bridge between users and services,

and rapidly increase the number of shared services

and resources, resulting in the multiplier effect of

economic scale. Use virtualization technology to

build virtual resource pool, shield specific hardware

architecture and diversified software system

platforms, dynamically allocate resources according

to users' needs, and monitor the allocation of

resources in real time through management software.

3 SYSTEM DESIGN

REQUIREMENTS AND MAIN

ARCHITECTURE

3.1 System Functional Architecture

Design

University laboratories are important bases for

experimental teaching, training high-level talents,

conducting scientific research and serving the society.

The specialized laboratory is an indispensable part of

the teaching process, which plays an irreplaceable

role in teaching theoretical knowledge in the

classroom. With the development of cloud computing

and virtualization technology, virtualization has been

used in various production environments. For this

reason, the laboratory is built by building a virtual

cloud platform to provide students with a learning and

research and development environment. Using cloud

computing platform to build university laboratories

can provide an ideal solution, reduce the investment

in computer software technology and hardware

equipment updating, reduce the investment in

laboratory personnel maintenance and training, save

time, and reuse abandoned equipment. The concept of

distributed storage and server virtualization is

adopted to organically integrate cloud computing

technology with the software and hardware resource

system of laboratory management in conventional

colleges and universities, and build a high-speed

cloud platform architecture for laboratory

management. Specifically, the core architecture of the

system consists of three parts, namely: infrastructure

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564

layer, management communication layer and

application interaction layer, as shown in Fig. 1.

Figure 1: Architecture diagram of laboratory management

system

The infrastructure layer is built with cloud

computing virtual technology as the core, and the

Linux operating system is used to design the virtual

infrastructure server cluster of the laboratory.

Compared with the traditional way, the cost of

software laboratory using cloud computing platform

will save 3/4 of the investment. In the later stage, if

the computer laboratory wants to expand the

hardware or update the software. The communication

layer uses Hadoop to build a cloud environment, and

HDFS to design files, information and data to access

the distributed system, which greatly improves the

access throughput and speed of laboratory

management information. The laboratory of cloud

computing platform only needs to consider expanding

the hardware equipment on the cloud terminal server

and updating the software of the cloud terminal. The

application interaction layer builds the application

interaction layer based on Hadoop cloud environment

to realize the cloud sharing of laboratory management

information. In order to improve the application

experience of administrators, teachers and students,

the traditional method needs to consider the hardware

update and software update of each computer, so that

the cost invested will far exceed the cost of adopting

cloud computing platform. Web browser is used to

design the access interface, which is simple and easy

to operate.

3.2 Overview of System Functions

The laboratory management system adopts two

modes, and the open laboratory management system

website adopts B/S mode; The client swiping and

management of the laboratory site adopts the C/S

mode. Students can book experiments, manage

reservation information, view experiment records and

experiment scores through the browser. On the client

side, students can turn on the power supply of the

reserved experimental platform at the corresponding

time by swiping their cards, and students can perform

corresponding experiment operations. Under the

traditional mode, university laboratory management

systems are usually designed based on B/S

architecture. Most of them can only achieve the

management effect within the LAN, and the data

storage and reading speed is slow. With the

continuous expansion of domestic university

laboratories, there are more and more laboratory data

and projects to be managed. The traditional

laboratory management system is difficult to adapt to

the diversified management requirements under the

new situation. By designing the circuit, the wireless

module and the server interact with each other to

control the relay of the circuit, so as to control the

circuit of the experimental platform. The client

system connects to the virtual machine through the

protocol to obtain the corresponding cloud desktop.

Through the characteristics of the school

laboratory and the design and arrangement of the

curriculum, we fully set the open model of the

laboratory to achieve an open laboratory management

system. Then, on the basis of fully demonstrating the

feasibility and necessity of the construction of the

professional laboratory, defining the purpose, main

technical indicators, workload, investment benefits of

the instrument, and implementing water, electricity,

environmental protection, installation conditions,

housing, personnel, funds, etc. item by item, we will

concentrate funds to build key laboratories with high-

end instruments and equipment. Students can make

an online reservation for the experimental platform

according to their spare time, connect the open

laboratory management system through the browser,

and select the corresponding laboratory platform and

corresponding time period. In the laboratory site, the

corresponding power supply of the test bench can be

turned on by swiping the card. As shown in Fig. 2,

student appointment flow chart.

Construction of Management System Based on Cloud Technology

565

Figure 2: Flow chart of student appointment

The server generates a large number of virtual

desktops through virtualization technology, and uses

the remote desktop display protocol to send desktops

to terminal devices through the network.

Administrators can access the service management

platform through IE browser to manage and maintain

the server cluster and all virtual desktops, thus

realizing centralized management of desktop

environment, zero maintenance of terminals and

flexible allocation of hardware resources. The design

of this system is based on the above functional

requirements. On the basis of realizing the functions

of system user information management, laboratory

course information management, discipline

construction management and experimental project

management, it is introduced into cloud computing to

improve the speed of system management

information management and file storage capacity.

4 REALIZATION OF

LABORATORY MANAGEMENT

SYSTEM

4.1 System Function Design

Through the construction of the cloud technology

comprehensive laboratory, we can make full use of

the existing software and hardware resources of the

experimental teaching computer from the design, use

cloud computing technology, expand and extend the

use of existing computer resources, and meet the

requirements of realizing the originally unattainable

computer experimental teaching functions under the

existing equipment. This system has four functions:

user information management, laboratory curriculum

information management, discipline construction

management and experimental project management.

First, user information management. The "resource

pool" is used to organize and manage resources such

as CPU, memory, disk, etc. The resources in this

resource pool can be shared in the same resource pool.

The administrator can flexibly configure the

resources in the resource pool according to the

resource requirements of the end user, thereby greatly

reducing idle resources and improving resource

utilization. In view of the large number of

experimental course teaching video, audio, PPT, e-

books and other document resources in the

experimental center, the system uses cloud

technology to build a distributed file system, improve

the system data storage capacity, and make full use of

the computer software and hardware resources in the

experimental center. The cloud platform tool uses

CloudSIM, and the cloud node server is implemented

by 34 hosts in the experimental center machine room.

The node configuration is shown in Table 1.

Table 1: Node Configuration of System Background Cloud

Platform

Host No Node Name IP address

#1 Master standby

node

196.128.0.36

#2 Master node 196.128.0.37

#3 DataNode 196.128.0.38

#4 Logic logical

node

196.128.0.39

In the application, the system searches according

to the name, number and key words of the

experimental teaching resource file saved in the

database, and the main node of the Cloud SIM Cloud

platform is responsible for the function scheduling of

data reading of the distributed file system. In the

design, the course collection and available laboratory

resources are defined in the form of linked lists. The

node definition of each linked list is as follows:

()

YNTClassNode ,,=

)

()

ATYLibNode ,,

)

Where

Node

indicates unmatched courses,

Node

indicates available laboratories at each

teaching time point, and

and

in formulas (1)

and (2) respectively indicate the types of

INCOFT 2025 - International Conference on Futuristic Technology

566

experimental courses and laboratories and teaching

time points.

Server resources can be dynamically allocated by

the administrator of the computer room. When idle

terminals appear, dedicated virtual desktops can be

allocated to other end users. Realize remote cloud

management of laboratory course information,

including: remote cloud course selection, adding and

modifying course information, asking for resumption

of leave, etc. Thirdly, discipline construction

management. It has realized the project construction

management of laboratory practice courses, including

discipline construction and development

management, experimental paper management,

experimental discipline conference management, etc.

4.2 Analysis of Experimental Data

In the process of laboratory management, we should

actively apply cloud technology and build a more

scientific and reasonable laboratory model, so as to

better serve the experimental teaching and practical

teaching. There are some hidden dangers in the

security of the virtual terminal configured by the

cloud platform. We can configure several network

segments separately in the campus intranet and set the

access mode, so that the external network can't access

the terminal and server of the cloud platform, but can

only access it in the campus, thus obtaining certain

security. Compared with the traditional laboratory

management system, the biggest advantage of the

university laboratory management system based on

cloud computing technology is that the reading and

writing rate of large-capacity data is faster, and the

storage throughput is larger. In order to test the

performance of the designed system, a targeted

laboratory data upload and download test was

Figure 3: Comparison of reading and writing data test speed

Figure 4: Comparison of test accuracy of reading and

writing data

conducted, and the test chart shown in Fig. 3 was

obtained. The test chart of data reading and writing

test accuracy is shown in Fig. 4.

From the experimental data in Figure 3, it can be

found that the system in this paper has a faster

read/write rate for cluster high-capacity data, while

the data in traditional systems has a slower read/write

rate, indicating that the laboratory information

storage management system designed based on cloud

computing technology has more speed advantages for

the read/write storage of massive data. Through the

analysis of the experimental data in Figure 3, it can

be found that the accuracy of the system designed in

this paper is higher than that of the traditional system,

and the highest accuracy of the system designed in

this paper can reach 90.08%. The highest accuracy of

the traditional system is only 61.23%. From the above

experimental data, it can be found that the system

designed in this paper is generally higher than the

traditional system, whether from the comparison of

the test speed of read and write data or the comparison

of the accuracy of read and write data.

The system in this paper provides more

experimental needs for college students and teachers.

The target users of the system include the

administrators of the experimental center, teachers of

experimental courses, etc. The administrators of the

experimental center mainly use the laboratory

equipment and consumables management of the

system, as well as the upload and maintenance of

experimental teaching resources; Teachers mainly

use the system's laboratory appointment,

experimental teaching resources retrieval and

application functions. At the same time, it also

provides a new way for the rational application and

Construction of Management System Based on Cloud Technology

567

efficient management of laboratories. For example,

when students have experimental needs, they can

directly book laboratories online, thus ensuring that

students can also carry out experimental activities in

their spare time. The management process of

experiments has also changed from the traditional

timing and fixed-point to more flexible experimental

management.

5 CONCLUSIONS

Under the current situation of rapid development of

cloud technology, colleges and universities should

combine the reality to cultivate cloud technology

talents suitable for social needs. In order to make

students adapt to the actual development needs of

cloud technology and be familiar with the future

working environment, the laboratory management

system designed in this paper is based on the actual

needs of computer experiment centers in colleges and

universities. The school computer room and

laboratory management system based on cloud

computing technology is not only rich in functions,

but also interactive, which can provide personalized

services for teachers and students and improve the

utilization rate of laboratory resources. In view of the

large demand for storage capacity of experimental

teaching resources, cloud technology is chosen to be

stored in distributed file system. Cloud technology

comprehensive laboratory should build a simulation

application environment, emphasize the application

of key technologies, and build a team development

environment to cultivate students' team spirit and

software architecture development ability. Provide

information support for the core work of the

experimental center, and improve the efficiency and

information level of laboratory management. Under

the background of cloud technology, the laboratory of

economics and management has realized the sharing

of experimental resources of economics and

management majors in colleges and universities,

enriched experimental teaching resources and

teaching means, and ensured the sustainable

development of experimental teaching of economics

and management majors. Cloud technology will

eventually easily meet the challenges faced by the

maintenance and management of university

laboratories, give full play to students' initiative and

innovation in the learning process, and cultivate

students' practical ability and innovation ability to the

greatest extent.

REFERENCES

Feng W. Application of Cloud Desktop Technology in the

Construction and Management of Computer Laboratory

in Colleges and Universities. China Computer &

Communication, vol. 66, no. 19, pp. 38-54, 2017.

Zhao J, Liu D, University S. Discussion on the Application

of Cloud Computing in the Construction of Computer

Laboratory in Colleges and Universities. Modern

Information Technology, vol. 69, no. 22, pp. 35-54,

2019.

Yu W, Dong Z, Fang D. Construction on informationized

management system for laboratory safety in colleges

and universities. Experimental Technology and

Management, vol. 67, no. 20, pp. 26-59, 2017.

Cui S. Research on the Construction of the Training

Workshop for Cloud Computing Technology in

Colleges and Universities. Journal of Liaoning

Provincial College of Communications, vol. 54, no. 18,

pp. 36-55, 2018.

Jing-Bin Y U, Duan Z C. Construction of Laboratory Safety

Management System in Colleges and Universities.

Education Teaching Forum, vol. 39, no. 11, pp. 32-62,

2019.

Yan X. Desktop Cloud Construction and Technical

Analysis of Multimedia Classroom in Colleges and

Universities. Modern Information Technology, vol. 44,

no. 12, pp. 26-37, 2018.

Zhang H, Zhou J, Jian Z, et al. Construction of laboratory

environmental safety and pollution prevention system

in colleges and universities. Experimental Technology

and Management, vol. 28, no. 16, pp. 38-55, 2018.

Zhu D, Wei Z, Tang K Q. Discussion on Construction and

Management of Laboratory in Colleges and

Universities. Education Teaching Forum, vol. 27, no.

16, pp. 36-44, 2017.

Huang L Y, Quan W X, Chen Q, et al. Construction and

Exploration of Safety Management System in Chemical

Laboratory of Local Colleges and Universities. Journal

of Southwest China Normal Universityno. Natural

Science Edition), vol. 11, no. 5, pp. 21-37, 2019.

Yujia L I, Zhang W, Zhang F, et al. Construction of safety

education and training system for chemistry

laboratories in colleges and universities. Experimental

Technology and Management, vol. 25, no. 7, pp. 16-32,

2019.

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568