Cloud Computing Technology Research Articles

Applied Research on the Impact of Big Data, Cloud Computing and Cloud Storage on Smart Manufacturing Supply Chain

The rapid advancements in big data, cloud computing, and cloud storage technologies are profoundly reshaping the operational models of smart manufacturing supply chains. The integration and application of these technologies not only drive the enhanced data collection and analysis capabilities across various supply chain segments but also significantly improve the accuracy of demand forecasting, the rationality of resource allocation, and the scientific nature of decision support. Consequently, the collaborative efficiency and dynamic response capabilities of supply chains have been substantially elevated, providing robust technological backing for enterprises in navigating the intricately volatile market environment. Nonetheless, while reaping the benefits of these technological advancements, challenges such as data security and privacy protection, system integration, and technical selection cannot be overlooked. By judiciously selecting technology platforms, reinforcing data security management, and continuously investing in technological advancements and talent cultivation, the holistic effectiveness of smart manufacturing supply chains will be further optimized.

Developing a Cloud and IoT-Integrated Remote Laboratory to Enhance Education 4.0: An Approach for FPGA-Based Motor Control

Remote laboratories are essential in addressing access and quality challenges in technical education. They enable students from various locations to engage with real equipment, overcome geographic and economic constraints, and provide solutions during crises, such as pandemics, when in-person learning is limited. As a key element of Education 4.0, remote labs promote technical skill development, enhance engineering education, and support diverse learning approaches. This study presents a remote laboratory based on Field Programmable Gate Arrays (FPGAs), developed using a waterfall methodology integrating IoT and Cloud Computing technologies to facilitate close interaction between hardware and software. The lab focuses on controlling DC, servo, and stepper motors, allowing students to apply theoretical concepts such as digital signals, pulse-width modulation (PWM), and data representation in bits in a practical setting. The testing phase involved 50 robotics and mechatronics engineering students who participated in hands-on sessions for one month, followed by a structured survey evaluating their experience, interaction, and the educational relevance of the platform. The survey shows high student satisfaction, highlighting the platform’s strengths and identifying areas for improvement. The results also underscore the system’s potential to significantly enhance the educational experience in remote environments, aligning with the United Nations Sustainable Development Goals (SDGs).

Integrated Analysis of Utilization Efficiency of Intelligent Sports Venues Based on Data Mining Algorithms

With the rapid development of information technology and the increasing prosperity of the sports industry, the construction and management of intelligent sports venues have become an important way to improve the efficiency of sports resource utilization and meet diverse fitness needs. This paper focuses on the integrated analysis of the utilization efficiency of intelligent sports venues based on data mining algorithms. Aiming to reveal the inherent laws and potential value in the operation of sports venues through advanced data processing and analysis techniques, and provide a scientific basis for optimizing resource allocation and improving service quality. Intelligent sports venues utilize modern information technologies such as the Internet of Things, big data, and cloud computing to achieve comprehensive and intelligent monitoring and management of venue facilities, personnel activities, environmental conditions, and more. This new management model not only improves the operational efficiency of the venue but also enhances the user experience and meets personalized and diverse fitness needs. This paper focuses on the current situation of the opening of university sports venues to the outside world, aiming to reveal the pain points and bottlenecks in their operation process through detailed investigation and analysis. This study introduces advanced concepts of middleware architecture and constructs a multi-level data integration framework that includes local models, global models, user models, and mapping rules. This framework can effectively integrate distributed heterogeneous data sources, achieving seamless integration and efficient interaction of data. At the same time, with the help of distributed programming technology in cloud computing, it is possible to conduct in-depth mining and analysis of integrated massive data, discover potential value, and provide a scientific basis for decision support.

The Role of Digitalization in Enhancing Outward Foreign Direct Investment: New Advantages for Chinese Enterprises

With the rapid development of big data, cloud computing, artificial intelligence, and other technologies, digital construction has gradually become a crucial means of enterprise development, significantly impacting the operation and management activities of enterprises. Outward Foreign Direct Investment (OFDI) is one of the key pathways for Chinese enterprises to “go global,” contributing to improved economic efficiency and promoting national economic development. Therefore, studying the advantages of digitalization in OFDI activities will aid in exploring effective methods for Chinese enterprises to engage in OFDI within the digital economy and provide an important foundation for strategic enterprise planning and national policy formulation. This paper combines the current state of OFDI among Chinese enterprises, analyzes the advantages and roles of digital construction in OFDI, and explores relevant countermeasures, aiming to provide theoretical references for enterprises’ OFDI activities in the context of digitalization.

A multidimensional image encryption and decryption technology

This paper investigates various current information encryption technologies that are growing quickly, especially different algorithms for encrypting and decrypting unique patterns in image data. The fast Fourier transform (FFT) has emerged as a powerful tool with the potential to significantly impact encryption technology. Current encryption technology is designed to encrypt and decrypt images and is easy to decipher. Hence, this paper presents the proposed encryption and decryption algorithm to improve encryption technology based on an improved Euler integral and FFT; in particular, the algorithm possesses a more complex and multidimensional way to improve encryption technology. The improved algorithm offers the ability to efficiently process and analyze vast amounts of image data. The proposed approach of matching the proposed encryption and decryption algorithms can be applied to cloud computing and quantum computing technology.

The role of digital transformation in enhancing clean energy startups' success: An analysis of it integration strategies

This review paper explores the pivotal role of digital transformation in enhancing the success of clean energy startups. It delves into how integrating digital technologies such as IoT, AI, big data, and blockchain can foster innovation, improve scalability, and boost operational efficiency. The paper also examines various IT integration strategies, including cloud computing, data analytics, and smart grid technologies, and their implementation models, highlighting the challenges and potential solutions. Additionally, it discusses the impact of digital transformation on market competitiveness and provides strategic recommendations for startups to leverage these technologies effectively. The paper concludes by predicting future trends in digital technologies and outlining policy implications to support the digital transformation of the clean energy sector.

A Resource Allocation Algorithm for Cloud-Network Collaborative Satellite Networks with Differentiated QoS Requirements

With the continuous advancement of cloud computing and satellite communication technology, the cloud-network-integrated satellite network has emerged as a novel network architecture. This architecture harnesses the benefits of cloud computing and satellite communication to achieve global coverage, high reliability, and flexible information services. However, as business types and user demands grow, addressing differentiated Quality of Service (QoS) requirements has become a crucial challenge for cloud-network-integrated satellite networks. Effective resource allocation algorithms are essential to meet these differentiated QoS requirements. Currently, research on resource allocation algorithms for differentiated QoS requirements in cloud-network-integrated satellite networks is still in its early stages. While some research results have been achieved, there persist issues such as high algorithm complexity, limited practicality, and a lack of effective evaluation and adjustment mechanisms. The first part of this study examines the state of research on network virtual mapping methods that are currently in use. A reinforcement-learning-based virtual network mapping approach that considers quality of service is then suggested. This algorithm aims to improve user QoS and request acceptance ratio by introducing QoS satisfaction parameters. With the same computational complexity, QoS is significantly improved. Additionally, there has been a noticeable improvement in the request acceptance ratio and resource utilization efficiency. The proposed algorithm solves existing challenges and takes a step towards more practical and efficient resource allocation in cloud-network-integrated satellite networks. Experiments have proven the practicality of the proposed virtual network embedding algorithm of Satellite Network (SN-VNE) based on Reinforcement Learning (RL) in meeting QoS and improving utilization of limited heterogeneous resources. We contrast the performance of the SN-VNE algorithm with DDRL-VNE, CDRL, and DSCD-VNE. Our algorithm improve the acceptance ratio of VNEs, long-term average revenue and delay by an average of 7.9%, 15.87%, and 63.21%, respectively.

Awareness of Cloud Computing Technology at Mumbai Suburban College Libraries

Awareness of Cloud Computing Technology at Mumbai Suburban College Libraries

The correlative factors of enterprise culture and enterprise human resource based on data analysis and federated learning

Under the current big topic of enterprise management, how to cultivate, use, and maintain talents is the critical problem of modern human resource management. Based on big data mining, cloud computing, and other related model optimization technologies, this study explores the crucial significance of enterprise culture construction and enterprise human resource management in achieving the business objectives of the entire enterprise. The establishment of this model also means that the enterprise’s profit margin and business indicators have been improved and developed under a certain model. The case results demonstrate that the optimized competency model is significant to studying corporate culture management system behavior, policy analysis, and improving corporate human resource management policies.

Virtualization and energy management optimization of high speed computer network data centers based on optical switching and network technology

With the development of cloud computing and big data technology, the scale and complexity of data centers are increasing, and the thermal energy consumption management of computer processors can effectively improve the energy efficiency of data centers and reduce operating costs. Therefore, this study discusses the application of high-speed computer network architecture based on optical switching and network technology in data center virtualization. By constructing a high-speed computer network model based on optical switching technology, virtualization technology is used to dynamically schedule and manage resources, combined with real-time monitoring system, and the energy consumption data of the processor is collected. Using the data analysis method, the energy consumption performance under different load conditions is evaluated and the optimization strategy is proposed. The experimental results show that the network architecture using optical switching technology significantly reduces the latency of data center and improves the resource utilization. In the thermal management of the processor, dynamic resource scheduling successfully reduces the energy consumption and effectively maintains the stability and performance of the system. As a result, data center virtualization solutions based on optical switching and networking technologies can significantly optimize the power management of computer processors and improve overall energy efficiency.

Virtualization Technology in Cloud Computing

Virtualization Technology in Cloud Computing

RPKI Defense Capability Simulation Method Based on Container Virtualization

As the main inter-domain routing protocol in today’s internet, the Border Gateway Protocol (BGP) faces serious security risks during actual usage. Research on BGP malicious attack methods requires a realistic network environment, and evaluation methods based on physical networks often suffer from high costs and insufficient flexibility. Thus, we propose an efficient BGP simulated network deployment system based on a virtualization technology called the SOD–BGP. This system, combining cloud computing and virtualization technologies, creates a scalable, highly flexible basic network environment that allows for the automated simulation and evaluation of actual BGP prefix hijacking attack scenarios. A Resource Public Key Infrastructure (RPKI) simulation suite is introduced into the system, emulating a certificate issuance system, certificate storage, and a certificate synchronization verification mechanism, thus aligning the simulation environment with real-world usage scenarios. Finally, we propose a data collection and performance evaluation technique to evaluate BGP networks deploying RPKI under different attack scenarios and to explore the effectiveness of RPKI defense mechanisms at various deployment rates. A comparative analysis with other simulation techniques demonstrates that our approach achieves a balanced performance in terms of deployment speed, complexity, and RPKI integrity, providing a solid simulation technology foundation for large-scale BGP security defense strategies.

Enhancing rural healthcare through internet-based remote collaborative outpatient services: A comprehensive evaluation in Changzhi, Shanxi Province.

The advancement of digital technology, particularly telemedicine, has become crucial in improving healthcare access in rural areas. By integrating cloud computing and mHealth technologies, Internet-based Collaborative Outpatient Clinics offer a promising solution to overcome the limitations of traditional healthcare delivery in underserved communities. A trial was conducted in 4 counties of Changzhi City in Shanxi Province, China. The system extended to 495 rural communities and served over 5000 rural residents. Deep learning algorithms were employed to analyze medical data patterns to increase the accuracy of diagnoses and the quality of personalized treatment recommendations. After the implementation of the system, there was a significant improvement in the satisfaction levels of rural residents regarding medical services; the accuracy of medical consultations increased by 30%, and the convenience of medical access improved by 50%. There was also a notable enhancement in overall health management. Satisfaction rates among healthcare professionals and rural inhabitants were over 90% and 85%, respectively, indicating that the system has had a significant positive impact on the quality of health-care services. The study confirms the feasibility of implementing telemedicine services in rural areas and offers evidence and an operational framework for promoting innovative healthcare models on a large scale.

The Role of Cloud Computing Technology in Environmental Protection

In recent years, the level of informatization in various industries has been increasing with the continuous improvement of information technology. While developing, natural environment protection also faces many challenges, and the timeliness and predictability of information transmission test environmental monitoring workers. In traditional environmental protection work, optimizing existing technologies and utilizing cloud computing technology to quickly and accurately transmit information to the work platform, and then utilizing existing protection measures to timely detect and handle problems, in order to reduce environmental damage. On this basis, it is possible to analyze and provide reference suggestions.

Research on Carbon Footprint of Tea Supply Chain Based on Cloud Computing Technology

Global warming has become a common problem and challenge faced by humanity. Tea, as one of the traditional characteristic economic crops in China, is widely planted in many provinces in southern China. The supply chain processes of tea cultivation, processing, retail, and logistics emit large amounts of carbon dioxide and harmful gases, causing serious environmental impacts. However, different stakeholders in the tea supply chain, especially small and medium-sized enterprises, lack technical and financial support to optimize and measure their carbon emissions. This article proposes an integrated system that utilizes cloud computing technology to enable stakeholders in the tea supply chain to minimize and measure their carbon emissions at reasonable costs.

Research on Dance Education in Universities Based on Online and Offline Blended Teaching

With the rapid development of educational informatization, the transformation of teaching methods has become an inevitable requirement for the long-term development of education, which also puts forward higher requirements for the work of art education in universities. With the development of network technology, online and offline hybrid teaching modes came into being. This mode uses the Internet, cloud computing and other technologies to provide students with a diversified and adaptable expansion teaching mode. As a branch of art teaching in universities, college dance should focus on innovative teaching methods, construct a blended online and offline teaching model, broaden educational channels, and enrich educational resources. Based on this, the article analyzes and studies the blended teaching of online and offline dance education in universities, explores the advantages and challenges of blended dance teaching, analyzes the necessity of blended teaching in online and offline dance teaching in universities and proposes specific educational strategies for reference.

The Role of Cloud Computing Technology in Supporting Educational Accessibility and Scalability

Education is very important for human life. Many of them are vying for the best education in the world to guarantee a better future. The thing that is very concerned about in Education is learning and also the right method of teaching, because that way it can give birth to a competitive and quality generation. One of them is the role of cloud computing technology, which is a combination of the use of computer technology and internet-based development. A way or method that makes it easy for users to access information without knowing what is in it, being expert with it or having control over it. Cloud computing is an important technology that has helped many institutions and schools use distance learning, and can support Education's accessibility and scalability. The purpose of this study is to determine the role of cloud computing technology in increasing the accessibility and scalability of more advanced education and being able to create a generation that is highly competitive and virtuous. The method used in this study uses a quantitative method by distributing questionnaires to respondents as many as 15 statements about the use of cloud computing technology in education. The results of this study proved to be a very effective role for cloud computing technology in improving education, because this technology can increase students' interest in learning and make them enthusiastic in learning, so as to create an interactive learning atmosphere. The implication of this latest technology is to make learning more interesting and easily accessible anytime and anywhere by students. Assignments can be collected online by utilizing various supporting educational platforms and application delivery of subject matter.

Research on the Application of Big Data and Cloud Computing Technology in Smart Campus

The current education field is experiencing an innovation driven by big data and cloud technologies, and these advanced technologies play a central role in the construction of smart campuses. Big data technology has a wide range of applications in student learning behavior analysis, teaching resource management, campus safety monitoring, and decision support, which improves the quality of education and management efficiency. Cloud computing technology supports the integration, distribution, and optimal use of educational resources through cloud resource sharing, virtual classrooms, intelligent campus management systems, and Infrastructure-as-a-Service (IaaS) models, which reduce costs and increase flexibility. This paper comprehensively discusses the practical application of big data and cloud computing technologies in smart campuses, showing how these technologies can contribute to the development of smart campuses, and laying the foundation for the future innovation of education models.

Development of an intelligent building management systembased on BIM technology

The construction of smart cities has led to new demands for intelligent building management. This paper proposes an innovative building management system that integrates BIM, IoT, cloud computing, big data, and artificial intelligence technologies. The system architecture is rational, and its functional modules are comprehensive, achieving breakthroughs in key areas such as BIM visualization, fault diagnosis, and energy consumption optimization. Through practical testing, the system demonstrates outstanding capabilities in data processing, real-time performance, and fault recognition accuracy, providing solid technical support for the operation of green intelligent buildings and contributing to sustainable urban development.

Shaping anti-corruption strategies: investigator perspectives on electronic records

Purpose This study aims to investigate the specific difficulties involved in implementing electronic recordkeeping for anti-corruption investigations in Nigeria. It recognises the importance of technological advancements in such investigations and the need for efficient, internationally recognised services, especially in a country where manual processes are prevalent. Design/methodology/approach This study uses a qualitative, exploratory case study approach. Data were gathered through interviews with 15 anti-corruption investigators in Nigeria in the year 2020 and analysed using thematic analysis. Findings This study identified two main challenges: resistance to adopting technological change and indifference towards information technology. Originality/value This study highlights the transformative potential of technology, specifically cloud computing and forensic technology, in an investigative context. By intentionally integrating technology, existing deficiencies can be addressed, investigative processes can be streamlined and a culture of accountability can be cultivated. It contributes to ongoing discussions and emphasises the capacity of technology to drive significant transformation in the pursuit of integrity and justice.