Log in

Relevant bibliographies by topics / Cloud Storage in Manufacturing / Journal articles

To see the other types of publications on this topic, follow the link: Cloud Storage in Manufacturing.

Journal articles on the topic 'Cloud Storage in Manufacturing'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Cloud Storage in Manufacturing.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Su, Kai Kai, Wen Sheng Xu, and Jian Yong Li. "Research on Mass Manufacturing Resource Sensory Data Management Based on Hadoop." Key Engineering Materials 693 (May 2016): 1880–85. http://dx.doi.org/10.4028/www.scientific.net/kem.693.1880.

Full text

Abstract:

Aiming at the management issue of mass sensory data from the manufacturing resources in cloud manufacturing, a management method for mass sensory data based on Hadoop is proposed. Firstly, characteristics of sensory data in cloud manufacturing are analyzed, meanings and advantages of Internet of Things and cloud computing are elaborated. Then the structure of the cloud manufacturing service platform is proposed based on Hadoop, the information model of manufacturing resources in cloud manufacturing is defined, and the data cloud in the cloud manufacturing service platform is designed. The dist

APA, Harvard, Vancouver, ISO, and other styles

2

Syed Omer Farooq Ahmed, Et al. "Machine Learning Algorithms in Cloud Manufacturing - A Review." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2024): 3213–26. http://dx.doi.org/10.17762/ijritcc.v11i9.9512.

Full text

Abstract:

Cloud computing has advanced significantly in terms of storage, QoS, online service availability, and integration with conventional business models and procedures. The traditional manufacturing firm becomes Cloud Manufacturing when Cloud Services are integrated into the present production process. The capabilities of Cloud Manufacturing are enhanced by Machine Learning. A lot of machine learning algorithms provide the user with the desired outcomes. The main objectives are to learn more about the architecture and analysis of Cloud Manufacturing frameworks and the role that machine learning alg

APA, Harvard, Vancouver, ISO, and other styles

3

Zhao, Guang-Yuan, Wei Zong, and Guang-Jie An. "Effect of Storage on Cloud Stability of Cloudy Apple Juice." Food Science and Technology International 14, no. 1 (2008): 105–13. http://dx.doi.org/10.1177/1082013208090176.

Full text

Abstract:

Cloud stability of particles in cloudy apple juice during its storage for 120 days at 4, 22 and 40 °C is conducted. The juices are added with or without ascorbic acid. The cloud stability of juices during storage is studied by optical microscopy, electron microscopy and size distribution analysis of suspending particles combined with a polyphenols component analysis by high performance liquid chromatography. At the beginning of storage, the turbidity of juice added with or without ascorbic acid decreased quickly because particles of larger size in juices aggregated and deposited, and since the

APA, Harvard, Vancouver, ISO, and other styles

4

Ren, Lei, and Lin Zhang. "An Efficient IT Energy-Saving Approach Based on Cloud Computing for Networked Green Manufacturing." Advanced Materials Research 139-141 (October 2010): 1374–77. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1374.

Full text

Abstract:

Networked manufacturing technology has provided an effective approach to integrating manufacturing resources over Internet. However, a vast number of resources involving networks, computing, and storage resulted in ever increasing energy consumption. This paper proposed an IT energy-saving approach based on Cloud Computing for networked green manufacturing. The paper first presented the architecture of networked green manufacturing on Cloud Computing to support service-oriented IT resources outsourcing. Then the paper discussed the dynamically-scalable resource utilization mechanism for networ

APA, Harvard, Vancouver, ISO, and other styles

5

Researcher. "AI-DRIVEN CLOUD STORAGE SYSTEMS FOR PREDICTIVE MAINTENANCE IN MANUFACTURING." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 280–89. https://doi.org/10.5281/zenodo.13970658.

Full text

Abstract:

This article examines the implementation and impact of AI-driven cloud storage systems for predictive maintenance in the manufacturing sector, focusing on case studies from industry leaders Siemens and General Electric (GE). The research explores the architecture of these systems, including IoT sensor deployment, data collection mechanisms, and AI algorithms for analysis. Through a comprehensive literature review and mixed-methods data collection approach, the study reveals significant benefits of these technologies, including a 30% reduction in unplanned downtime and substantial equipment lif

APA, Harvard, Vancouver, ISO, and other styles

6

Zhou, Guo Hong. "Study of Cloud Computing and Advanced Manufacturing Technology under Information Technology Development." Applied Mechanics and Materials 484-485 (January 2014): 227–30. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.227.

Full text

Abstract:

Cloud computing can be regarded as the integration of grid computing and virtualization technology: namely the use of grid distributed computing processing power of IT resources and build into a resource pool, plus on a mature server virtualization, storage virtualization technology make users can real-time monitoring and deployment of resources. Cloud computing and advanced manufacturing technology is facing many challenges during the process of development in the future, including security and privacy will become a primary issue. This study focused on relations with the important areas of em

APA, Harvard, Vancouver, ISO, and other styles

7

Abdulshaheed, Haider Rasheed, Israa Al Barazanchi, and Madya Safiah Binti Sidek. "Survey: Benefits of integrating both wireless sensors networks and cloud computing infrastructure." Sustainable Engineering and Innovation 1, no. 2 (2019): 67–83. http://dx.doi.org/10.37868/sei.v1i2.29.

Full text

Abstract:

Cloud computing has the capabilities of powerful processing and scalable storage with the ability of offline and online data analysis and mining of the collected sensed data from body areas networks. Cloud computing can be considered as main enabler for modern manufacturing industries. Cloud computing can efficiently serve key areas of manufacturing by aspects of pay-as-you-go business model, scaling up and down production according to certain demands, more customized solutions and flexible deployments. In cloud manufacturing, the distributed sensors and resources can be managed in centralized

APA, Harvard, Vancouver, ISO, and other styles

8

V.Mary, Rajam Vandana*1 Dr.K.Thamodaran 2. "IMPROVING THE PERFORMANCE OF CLOUD STORAGE THROUGH ELIMINATION OF DUPLICATE ENCRYPTED BIG DATA." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 10 (2017): 314–28. https://doi.org/10.5281/zenodo.1012533.

Full text

Abstract:

Big data means a situation where the logistics of storing, processing, or analyzing data have surpassed traditional operational abilities of organizations. Cloud computing is purported to be the future of the IT industry. In cloud computing environment, as the infrastructure not owned by users, it is desirable that its security and integrity must be protected and verified time to time. Cloud computing marks a true paradigm shift in how the computing would happen in the future and cloud computing is likely to have the same impact on IT industry that foundries have had on the manufacturing indus

APA, Harvard, Vancouver, ISO, and other styles

9

Li, Jie. "Applied Research on the Impact of Big Data, Cloud Computing and Cloud Storage on Smart Manufacturing Supply Chain." Journal of Computing and Electronic Information Management 15, no. 1 (2024): 28–32. http://dx.doi.org/10.54097/sdszfk83.

Full text

Abstract:

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 substantial

APA, Harvard, Vancouver, ISO, and other styles

10

Renjith, E. Jeslin. "Revolutionizing Cloud Security: Innovative Approaches for Safeguarding Data Integrity." FMDB Transactions on Sustainable Computer Letters 2, no. 2 (2024): 111–19. http://dx.doi.org/10.69888/ftscl.2024.000185.

Full text

Abstract:

Cloud computing uses third-party servers or private clouds to provide online services and on-demand enterprise resource access. Microsoft Azure, Amazon, IBM, and Google Apps allow customers to design and run cloud-based apps from anywhere. These cloud services store and retrieve data from faraway servers, highlighting the importance of security due to internet data transfer. Before using cloud computing, firms must handle security issues. Pay-per-use, self-service, and scalability make the model popular in banking, healthcare, retail, education, manufacturing, and business. Pay-per-use models

APA, Harvard, Vancouver, ISO, and other styles

11

Dai, Debao, Wenfang Zheng, and Tijun Fan. "Evaluation of personal cloud storage products in China." Industrial Management & Data Systems 117, no. 1 (2017): 131–48. http://dx.doi.org/10.1108/imds-12-2015-0504.

Full text

Abstract:

Purpose The purpose of this paper is to compare and evaluate the personal cloud storage products (PCSPs) in China and find the gap among them for promoting their service level. There are five representative products including Baidu cloud, Tencent cloud, Qihoo 360-cloud, Kingsoft cloud and Huawei DBank. Design/methodology/approach This study, first, extracts corresponding indicators based on the extant literature to evaluate PCSPs, and then collects the data about each index by investigation and the performance test, finally proposes a model to rank PCSPs, which applies analytic hierarchy proce

APA, Harvard, Vancouver, ISO, and other styles

12

Nnaemeka Stanley Egbuhuzor, Ajibola Joshua Ajayi, Experience Efeosa Akhigbe, and Oluwole Oluwadamilola Agbede. "Leveraging AI and cloud solutions for energy efficiency in large-scale manufacturing." International Journal of Science and Research Archive 13, no. 2 (2024): 4170–92. https://doi.org/10.30574/ijsra.2024.13.2.2314.

Full text

Abstract:

The integration of Artificial Intelligence (AI) and cloud solutions is revolutionizing energy efficiency in large-scale manufacturing, offering transformative potential to address the sector's pressing challenges. Manufacturing industries face growing pressure to optimize energy use, reduce operational costs, and meet stringent sustainability targets. This paper explores how AI-driven cloud technologies can enhance energy efficiency through predictive analytics, real-time monitoring, and intelligent automation, ensuring sustainable and cost-effective operations. AI-powered systems leverage mac

APA, Harvard, Vancouver, ISO, and other styles

13

MYLNIK, A. V., and G. R. GOLOV. "APPLYING CLOUD TECHNOLOGY FOR INDUSTRIAL DATA MANAGEMENT: AN OVERVIEW OF KEY FEATURES AND CAPABILITIES." Scientific Works of the Free Economic Society of Russia 251, no. 1 (2025): 172–90. https://doi.org/10.38197/2072-2060-2025-251-1-172-190.

Full text

Abstract:

The article examines the application of cloud technologies in the industrial sector. The author justifies the significance of digital transformation in the context of the modern economy and defines the role of cloud technologies in optimizing management and production processes at industrial enterprises. Definitions of the term «cloud technologies», as proposed by Russian scientists, are provided. The most common models of cloud computing implementation, namely IaaS, PaaS, and SaaS, are discussed. The advantages of cloud solutions are highlighted. The functional capabilities of cloud technolog

APA, Harvard, Vancouver, ISO, and other styles

14

Song, Long Long, Pan Zhang, Tai Yong Wang, Lei Xu, and Xiao Wen Song. "Research of Mass Redundant Data Deleting Algorithm for Intelligent Manufacturing Process." Key Engineering Materials 693 (May 2016): 1849–53. http://dx.doi.org/10.4028/www.scientific.net/kem.693.1849.

Full text

Abstract:

Information management systems become more common and more important in all walks of life. Many serious problems such as multi-source information heterogeneity, mass redundant data, and data security occur in the systems as the explosive increment of data. A novel redundant data deleting algorithm based on the cloud storage platform was proposed in this paper to deal with the problem of mess data storing. Storage space division algorithm and different users were divided in an appropriate way to improve the efficiency of reading and writing. A typical information management system was used to v

APA, Harvard, Vancouver, ISO, and other styles

15

Lisowska, Renata, and Anna Pamula. "Cloud computing adoption in small and medium-sized enterprises in Poland – benefit analysis." Global Journal of Information Technology: Emerging Technologies 10, no. 2 (2020): 98–105. http://dx.doi.org/10.18844/gjit.v10i2.4709.

Full text

Abstract:

Small and medium-sized enterprises (SMEs) operating in a turbulent and fast-moving environment introduce innovative solutions, including new ICT, in order to survive or achieve a better market position. A number of studies show that the quality of ICT infrastructure and Information Systems supporting business processes has significantly improved in recent years in the case of manufacturing SMEs. The cloud computing model with a new subscription payment system creates new opportunities for collaboration and tends to increase productivity, which is one of the main factors behind its extensive pr

APA, Harvard, Vancouver, ISO, and other styles

16

Vadiyala, Vishal Reddy, Parikshith Reddy Baddam, and Swathi Kaluvakuri. "Demystifying Google Cloud: A Comprehensive Review of Cloud Computing Services." Asian Journal of Applied Science and Engineering 5, no. 1 (2016): 207–18. http://dx.doi.org/10.18034/ajase.v5i1.80.

Full text

Abstract:

In an era defined by digital transformation, cloud computing has become the fulcrum of innovation and scalability for businesses and organizations throughout the globe. Computers in the cloud can store data on remote servers. It provides companies with comprehensive services intended to propel them into the future. The capabilities of Google Cloud extend far beyond simple computing and include, amongst other things, storage, networking, databases, machine learning, and security. This article is informative and delves into the myriad offerings and features of Google Cloud. The study simplifies

APA, Harvard, Vancouver, ISO, and other styles

17

Moses, Timothy, Abubakar Usman Othman, Umar Yahaya Aisha, Abdulsalam Ya’u Gital, Boukari Souley, and Badmos Tajudeen Adeleke. "Big data indexing: Taxonomy, performance evaluation, challenges and research opportunities." Journal of Computer Science and Engineering (JCSE) 3, no. 2 (2022): 71–94. http://dx.doi.org/10.36596/jcse.v3i2.548.

Full text

Abstract:

In order to efficiently retrieve information from highly huge and complicated datasets with dispersed storage in cloud computing, indexing methods are continually used on big data. Big data has grown quickly due to the accessibility of internet connection, mobile devices like smartphones and tablets, body-sensor devices, and cloud applications. Big data indexing has a variety of problems as a result of the expansion of big data, which is seen in the healthcare industry, manufacturing, sciences, commerce, social networks, and agriculture. Due to their high storage and processing requirements, c

APA, Harvard, Vancouver, ISO, and other styles

18

Sumathi, M., S. P. Raja, N. Vijayaraj, and M. Rajkamal. "Healthcare Data Collection Using Internet of Things and Blockchain Based Decentralized Data Storage." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 12, no. 1 (2023): e28612. http://dx.doi.org/10.14201/adcaij.28612.

Full text

Abstract:

With the increase in usage of Internet of Things devices (IoT), IoT is used in different sectors such as manufacturing, electric vehicles, home automation and healthcare. The IoT devices collected large volumes of data on different parameters at regular intervals. Storing a massive amount volume of IoT data securely is a complicated task. Presently, the majority of IoT devices use cloud storage to store the data, however, cloud servers require large storage and high computation. Due to third party cloud service provider (CSP) interaction, the management of IoT data security fully depends on th

APA, Harvard, Vancouver, ISO, and other styles

19

Chen, Shang Liang, Ying Han Hsiao, Yun Yao Chen, and You Chen Lin. "A Cloud Multi-Tenant Architecture for Developing Machine Remote Monitoring Systems." Applied Mechanics and Materials 764-765 (May 2015): 775–78. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.775.

Full text

Abstract:

This study proposes innovative multi-tenant remote monitoring platform architecture based on cloud with an injection machine manufacturer as cloud data center. This study was designed to develop machine connection mechanism and monitoring module, etc. with machine manufacturers. Under the architecture of this study, machine manufacturers can provide virtualization technology based remote monitoring systems for manufacturing buyers to rapidly develop custom monitoring software. All data storage devices such as servers are provided by the machine manufacturer, and the client side can effectively

APA, Harvard, Vancouver, ISO, and other styles

20

Mijailović, Đorđe, Đorđe Mijailović, Miladin Stefanović, and Milan Erić. "QUALITY CONTROL IN THE MANUFACTURING INDUSTRY BASED ON THE APPLICATION OF COMPUTER VISION." Journal of Innovations in Business and Industry 1, no. 4 (2023): 161–66. http://dx.doi.org/10.61552/jibi.2023.04.001.

Full text

Abstract:

Application of technologies based on information communication systems, internet networks, embedded systems, data storage in the cloud, computer vision, machine learning within manufacturing industry leads to a number of advantages in the quality control process. The goal of the work is the development of the system for quality control within production industry with the application of computer vision and algorithms for comparison and analysis. The secondary goal of the work refers to the storage of data on product quality and the control of production machines based on the analyzed data. The

APA, Harvard, Vancouver, ISO, and other styles

21

Prist, Mariorosario, Andrea Monteriù, Emanuele Pallotta, et al. "Cyber-physical manufacturing systems: An architecture for sensor integration, production line simulation and cloud services." ACTA IMEKO 9, no. 4 (2020): 39. http://dx.doi.org/10.21014/acta_imeko.v9i4.731.

Full text

Abstract:

The pillars of Industry 4.0 require the integration of a modern smart factory, data storage in the Cloud, access to the Cloud for data analytics, and information sharing at the software level for simulation and hardware-in-the-loop (HIL) capabilities. The resulting cyber-physical system (CPS) is often termed the cyber-physical manufacturing system, and it has become crucial to cope with this increased system complexity and to attain the desired performances. However, since a great number of old production systems are based on monolithic architectures with limited external communication ports a

APA, Harvard, Vancouver, ISO, and other styles

22

Dhirani, Lubna Luxmi, and Thomas Newe. "Hybrid Cloud SLAs for Industry 4.0: Bridging the Gap." Annals of Emerging Technologies in Computing 4, no. 5 (2020): 41–60. http://dx.doi.org/10.33166/aetic.2020.05.003.

Full text

Abstract:

Hybrid Cloud Service Level Agreements (SLA) comprises of the legal terms and conditions for the cloud contract. Even though all the service level objectives, metrics and service descriptions are clearly outlined in the cloud SLA contract, sometimes vendors fail to meet the promised services and confusing terms lead to tenant-vendor cloud legal battles. Hybrid Cloud involves two different cloud models (public and private) working together, applications running under the hybrid cloud are subject to different availability sets, functionality and parameters developing SLA complexity and ambiguity.

APA, Harvard, Vancouver, ISO, and other styles

23

Li, Jian Ping. "Application Research on Real-Time Database System Model Based on Distributed System of Cloud Manufacturing." Applied Mechanics and Materials 427-429 (September 2013): 2110–13. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2110.

Full text

Abstract:

This paper analyzed on real-time database system, and applied the cloud manufacturing technology and distributed system technology to the database system model. Through the analysis on the real time database, we can got the distributed real-time data system types and data storage model, establish two kinds of memory T-mode and S-mode, database storage model and make the production of block. Finally establish the work flow of distributed real-time database system, get relevant application program. A large number of real-time data collection and administration can be realized, which can improve

APA, Harvard, Vancouver, ISO, and other styles

24

Piana, Valerio Junior, Crivian Pelisser, Maristela Schleicher Silveira, Creciana Maria Endres, Doglas Andre Finco, and Alexandre Leopoldo Gonçalves. "Use of Internet of Things for Monitoring, Automation, and Performance in Industrial Production of Cheese." Research, Society and Development 14, no. 6 (2025): e6714649054. https://doi.org/10.33448/rsd-v14i6.49054.

Full text

Abstract:

This article describes a solution for monitoring, automation, and control in industrial production. The presented approach combines Internet of Things (IoT), cloud storage, and sensing technologies applied to a cheese manufacturing tank. The sensors attached to the cheese manufacturing tank enable readings of temperature, pH, and level, contributing to process control, streamlining decision-making, and consequently improving product quality. The system can be accessed via the internet, allowing remote access and control, where users select the type of cheese to be produced, and based on the al

APA, Harvard, Vancouver, ISO, and other styles

25

Ponnuswamy, P. Priya, and Shabariram C.P. "SCHEDULING AND OPTIMIZATION OF RESOURCES IN EDGE COMPUTING USING RANDOM ALLOCATION AND MAX FIT ALLOCATION." ICTACT Journal on Communication Technology 15, no. 3 (2024): 3261–70. http://dx.doi.org/10.21917/ijct.2024.0485.

Full text

Abstract:

The cloud computing is the new technique used most today for computation and storage. Edge computing is also a new computing domain that gives computation of tasks and storage of data nearer to the data sources. Various applications of edge computing are IOT, healthcare, retail, manufacturing etc. Virtualization technologies have enabled cloud platforms to provide various services such as virtual machines to the users. Task scheduling is the major issues faced in both cloud and edge domains. Since the usage of machines is high, it is difficult to assign tasks manually. So, an efficient and opt

APA, Harvard, Vancouver, ISO, and other styles

26

Parmar, Tarun. "Scaling Data Infrastructure for High-Volume Manufacturing: Challenges and Solutions in Big Data Engineering." International Scientific Journal of Engineering and Management 04, no. 01 (2025): 1–6. https://doi.org/10.55041/isjem01352.

Full text

Abstract:

Abstract—Scaling data infrastructure for high- volume manufacturing presents significant challenges owing to the rapid growth, diversity, and complexity of the data generated by modern production processes. This review explores the key challenges and solutions in big-data engineering to enable efficient, scalable, and reliable data management in manufacturing environments. The primary challenges include handling the volume, velocity, and variety of data; ensuring real-time processing and analysis; managing data storage and retrieval at scale; and maintaining data quality and consistency. To ad

APA, Harvard, Vancouver, ISO, and other styles

27

Mandava, Lavanya, and Liudong Xing. "Optimizing Imperfect Coverage Cloud-RAID Systems Considering Reliability and Cost." International Journal of Reliability, Quality and Safety Engineering 27, no. 02 (2019): 2040001. http://dx.doi.org/10.1142/s021853932040001x.

Full text

Abstract:

This paper considers a cloud provider selection problem to optimize the cloud-redundant array of independent disks (RAID) storage system subject to imperfect coverage (IPC), where an uncovered disk fault causes extensive damages to the entire system despite the presence of adequate redundancy. Given available cloud storage disk providers with disks having different costs, failure parameters and coverage factors, the objective of the optimal design is to select the combination of cloud providers minimizing system unreliability or cost. Both unconstrained and constrained optimization problems ar

APA, Harvard, Vancouver, ISO, and other styles

28

Adiyasa, Farid Dwi, and Erna Andajani. "Document Design of Quality Management System Using Cloud Computing at PT XYZ." Eduvest - Journal of Universal Studies 5, no. 6 (2025): 6464–77. https://doi.org/10.59188/eduvest.v5i6.50273.

Full text

Abstract:

In the era of Industry 4.0, the integration of advanced technologies in quality management has become a necessity to enhance operational efficiency and data security. This study aims to design a Quality Management System (QMS) document based on ISO 9001:2015 for PT. XYZ by leveraging cloud computing as a Quality 4.0 technology. The research addresses the company's need for secure, centralized document storage and timely information dissemination to external stakeholders. A digital application, in the form of a website, was developed using the waterfall model, which allows for a systematic and

APA, Harvard, Vancouver, ISO, and other styles

29

Sai Venkata Kondapalli. "Real-time analytics with cloud-native database technologies." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 3689–99. https://doi.org/10.30574/wjarr.2025.26.1.1503.

Full text

Abstract:

Cloud-native database technologies are revolutionizing real time analytics capabilities across industries by enabling enterprises to extract actionable insights from massive datasets with minimal latency. This article explores the evolution of these technologies through their core technical components: columnar storage optimization, in-memory processing, and streaming data capabilities. Further the article examines architectural patterns, including Lambda, Kappa, and HTAP approaches that support sub-second query responses at scale. The business value of real-time analytics is demonstrated thro

APA, Harvard, Vancouver, ISO, and other styles

30

Zhou, Minggui, and Gongxing Yan. "Performance of Ferroelectric Materials in the Construction of Smart Manufacturing for the New Infrastructure of Smart Cities." Advances in Materials Science and Engineering 2022 (August 21, 2022): 1–13. http://dx.doi.org/10.1155/2022/3451281.

Full text

Abstract:

Smart city construction is the inevitable product of scientific development and transformation of life by building digital cities, building the Internet of Things, and making city management systems simple and intelligent through cloud computing. Smart city is a new generation information technology. Make full use of the advanced form of urban informatization based on the next generation innovation of knowledge society in all walks of life in the city. Cloud computing is a new network application concept. The core concept of cloud computing is to take the Internet as the center, and provide fa

APA, Harvard, Vancouver, ISO, and other styles

31

Prudhvi Raj Atluri. "Smart Factories in the Cloud: How Real-Time Data Pipelines Are Powering IoT-Driven Manufacturing." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 417–30. https://doi.org/10.32996/jcsts.2025.7.5.52.

Full text

Abstract:

The convergence of Industry 4.0 technologies is revolutionizing manufacturing through cloud-based data pipelines that seamlessly integrate IoT devices with advanced analytics platforms. Smart factories leverage interconnected sensor networks, edge computing, and machine learning to create data-driven ecosystems that enhance operational efficiency. These digital transformations establish real-time visibility across production processes while enabling predictive capabilities that anticipate equipment failures, quality issues, and production bottlenecks before they impact operations. Cloud platfo

APA, Harvard, Vancouver, ISO, and other styles

32

Jagadale, Balkrushna B., Mr Manoj S. Koli, Mr Udaykumar G. Phule, Mr Sandeep G. Linge, and Mr Somnath A. Zambare. "Security Issues and Research Challenges in Cloud Computing." International Journal of Engineering and Computer Science 13, no. 05 (2024): 26158–71. http://dx.doi.org/10.18535/ijecs/v13i05.4820.

Full text

Abstract:

Cloud Computing is a type of internet based computing which provides services via the internet and accesses the resources within the user enterprise either in a private-own-cloud or on a third-party server On Demand. The model is characterized by three attributes: scalability, pay-per-use, self-services. Many industries such as banking, healthcare, Retail, Education, Manufacturing and business are adopting this cloud technique due to efficiency of services provided by pay-per-use pattern which helps in accessing the networks, storage, servers, services and applications, without physically acqu

APA, Harvard, Vancouver, ISO, and other styles

33

Tannu, Swamit, and Prashant J. Nair. "The Dirty Secret of SSDs: Embodied Carbon." ACM SIGEnergy Energy Informatics Review 3, no. 3 (2023): 4–9. http://dx.doi.org/10.1145/3630614.3630616.

Full text

Abstract:

Scalable Solid-State Drives (SSDs) have ushered in a transformative era in data storage and accessibility, spanning both data centers and portable devices. However, the strides made in scaling this technology can bear significant environmental consequences. On a global scale, a notable portion of semiconductor manufacturing relies on electricity derived from coal and natural gas sources. A striking example of this is the manufacturing process for a single Gigabyte of Flash memory, which emits approximately 0.16 Kg of CO 2 - a considerable fraction of the total carbon emissions attributed to th

APA, Harvard, Vancouver, ISO, and other styles

34

Donepudi, Praveen Kumar. "Influence of Cloud Computing in Business: Are They Robust?" Asian Journal of Applied Science and Engineering 5, no. 1 (2016): 193–96. http://dx.doi.org/10.18034/ajase.v5i1.78.

Full text

Abstract:

While the jargons used to describe this remarkable shift in computing may scare away people, cloud computing is not really as complicated as we are made to believe. For instance, you may be deploying a service that needs to interoperate with CRM or e-commerce application services, which necessitates the development of a custom technology stack in order to deploy into the cloud. The truth is, not all of these capabilities really exist in cloud computing at the moment, nor are all that really exists fully automated; a good number of these functions can be provided. While it is true cloud computi

APA, Harvard, Vancouver, ISO, and other styles

35

Ali, Mr Tahseen. "The Role of Fog Computing in Enhancing IoT Efficiency and Real-Time Decision Making." International Journal for Research in Applied Science and Engineering Technology 13, no. 7 (2025): 1943–50. https://doi.org/10.22214/ijraset.2025.73201.

Full text

Abstract:

Fog computing is also known as fog networking. It is a system where data processing occurs closer to the devices that generate the data, rather than sending everything to a distant cloud. It acts like a “middle layer” between the cloud and edge devices, such as sensors, smart devices, and machines. Fog computing is a method of bringing computing power and data storage closer to the devices that generate data, rather than depending solely on faraway cloud servers. By processing information locally, this approach helps reduce lag, improve response times, lowers bandwidth usage, and enables faste

APA, Harvard, Vancouver, ISO, and other styles

36

Tasnim, Rehnuma, Afrin Akter Mim, Salman Hasan Mim, and Md Ismail Jabiullah. "A Comparative Study on Three Selective Cloud Providers." International Journal on Cybernetics & Informatics 11, no. 4 (2022): 167–78. http://dx.doi.org/10.5121/ijci.2022.110413.

Full text

Abstract:

Cloud Computing means a place where we can store our valuable information of data and access the computing and networking services following the pay-as-you-go method without a physical environment. In the present day, cloud computing offers us powerful computing and storage, high availability and security, instant accessibility and adaptation, guaranteed scalability and interoperability, and cost and time effectiveness. Cloud computing has three platforms (IaaS, PaaS, SaaS) with exclusive features which assure to make easy their work for a client, Organization or Trade to build up any kind of

APA, Harvard, Vancouver, ISO, and other styles

37

Bhattacharyya, Sudipto, Senthil Athithan, Souvik Pal, et al. "An IoT-Enabled Intelligent and Secure Manufacturing Model Using Blockchain in Hybrid Cloud Communication System." Security and Communication Networks 2023 (June 1, 2023): 1–12. http://dx.doi.org/10.1155/2023/7556728.

Full text

Abstract:

The smart manufacturing system can become a linked network with the help of the Internet of Things (IoT). Devices connected to the IoT are susceptible to various attacks and assaults. An effective protection plan is needed to ensure that the billions of IoT nodes are protected from these hazards. The security mechanisms on IoT devices are ineffective due to resource limitations. As a result, the academic community has recently paid attention to the cloud-, fog-, and edge-based IoT systems. A robust cloud provider is in the cloud or fog to perform computationally demanding activities, including

APA, Harvard, Vancouver, ISO, and other styles

38

Spirin, Oleg M., Tetiana A. Vakaliuk, Viktor V. Ievdokymov, and Sergiy I. Sydorenko. "CRITERIA FOR SELECTING A CLOUD-BASED LEARNING MANAGEMENT SYSTEM FOR A HIGHER EDUCATION INSTITUTION." Information Technologies and Learning Tools 89, no. 3 (2022): 105–20. http://dx.doi.org/10.33407/itlt.v89i3.4958.

Full text

Abstract:

The paper explores the essence of the criteria and indicators which can be used to select a cloud-oriented learning support system for a higher education institution. The following criteria with corresponding indicators are identified: design criterion (reliability, accessibility, multilinguality, security, adaptability, ease of use and administration, free use); technological criterion (user access rights differentiation, cloud storage of data, integration with other cloud-based services, ability to download different types of files); communication criterion (user registration, communication

APA, Harvard, Vancouver, ISO, and other styles

39

Baek, Sujeong. "System integration for predictive process adjustment and cloud computing-based real-time condition monitoring of vibration sensor signals in automated storage and retrieval systems." International Journal of Advanced Manufacturing Technology 113, no. 3-4 (2021): 955–66. http://dx.doi.org/10.1007/s00170-021-06652-z.

Full text

Abstract:

AbstractAs automation and digitalization are being increasingly implemented in industrial applications, manufacturing systems comprising several functions are becoming more complex. Consequently, fault analysis (e.g., fault detection, diagnosis, and prediction) has attracted increased research attention. Investigations involving fault analysis are usually performed using real-time, online, or automated techniques for fault detection or alarming. Conversely, recovery of faulty states to their healthy forms is usually performed manually under offline conditions. However, the development of intel

APA, Harvard, Vancouver, ISO, and other styles

40

Malukani, Shaifali P., and C. K. Bhensdadia. "Fog Computing Algorithms: A Survey and Research Opportunities." Applied Computer Systems 26, no. 2 (2021): 139–49. http://dx.doi.org/10.2478/acss-2021-0017.

Full text

Abstract:

Abstract The classic Internet of Things-Cloud Computing model faces challenges like high response latency, high bandwidth consumption, and high storage requirement with increasing velocity and volume of generated data. Fog computing offers better services to end users by bringing processing, storage, and networking closer to them. Recently, there has been significant research addressing architectural and algorithmic aspects of fog computing. In the existing literature, a systematic study of architectural designs is widely conducted for various applications. Algorithms are seldom examined. Algo

APA, Harvard, Vancouver, ISO, and other styles

41

An, Yonghong. "Mathematical Model and Genetic Algorithm in Computer Programming Optimization and Network Topology Structure." Wireless Communications and Mobile Computing 2022 (August 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/1917172.

Full text

Abstract:

Recent emphasis has been focused on the industrial Internet of Things (Ind-IoT) in the context of the Fourth Industrial Revolution (Industry 4.0). IoT devices are used in the Ind-IoT to increase manufacturing productivity. The problem, however, is that these instruments will create enormous volumes of data records that must be handled efficiently. Cloud computing (CC) is frequently cited as a viable option for providing effective support for Ind-IoT applications. However, the high-latency and unstable connectivity problem between the cloud and Ind-IoT endpoints continues to plague Ind-IoT oper

APA, Harvard, Vancouver, ISO, and other styles

42

Piyush Patil. "Generative AI in Enterprise: Transforming processes across industries adopting public cloud." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 1931–50. https://doi.org/10.30574/wjaets.2025.15.1.0431.

Full text

Abstract:

Generative AI (genAI) is altering how enterprises work by automating creative tasks, speeding up innovation, and enhancing decision-making in several industries. Traditional AI learns patterns from the massive data to create new content; GenAI does the same but pushes further ahead to develop new solutions. Its scalability, flexibility, and cost efficiency are multiplied by public cloud infrastructure, and businesses can quickly and at scale deploy AI solutions. Tech companies are ready to integrate GenAI services in major cloud providers like AWS, Azure, and Google Cloud for apps such as pers

APA, Harvard, Vancouver, ISO, and other styles

43

Hasan, Mahmud, Kemafor Ogan, and Binil Starly. "Hybrid Blockchain Architecture for Cloud Manufacturing-as-a-service (CMaaS) Platforms with Improved Data Storage and Transaction Efficiency." Procedia Manufacturing 53 (2021): 594–605. http://dx.doi.org/10.1016/j.promfg.2021.06.060.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Supramaniam, Vivegananthan, and Ai Ping Teoh. "The roles of uncertainty avoidance and strategic agility in cloud storage adoption among multinational manufacturing companies in Malaysia." International Journal of Sustainable Strategic Management 7, no. 1/2 (2019): 131. http://dx.doi.org/10.1504/ijssm.2019.099031.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Teoh, Ai Ping, and Vivegananthan Supramaniam. "The roles of uncertainty avoidance and strategic agility in cloud storage adoption among multinational manufacturing companies in Malaysia." International Journal of Sustainable Strategic Management 7, no. 1/2 (2019): 131. http://dx.doi.org/10.1504/ijssm.2019.10020494.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Ahmad Alnaimat, Mohammad, Oleg Kharit, Iryna Mykhailenko, Ihor Palchyk, and Safar Purhani. "Implementation of cloud computing in the digital accounting system of logistics companies." Acta logistica 11, no. 1 (2024): 99–109. http://dx.doi.org/10.22306/al.v11i1.461.

Full text

Abstract:

The aim of the article is to determine the capabilities of cloud services for meeting the needs of logistics companies in the management of supply chains and digital accounting. The study provides a review of current academic publications, analysis of official documentation of cloud service provider companies, and expert opinion of the authors of the study. The study was based on information about the 5 most popular cloud services used by companies to perform mathematical calculations. Amazon Web Services focus on reliability and scalability, providing a wide range of data storage and processi

APA, Harvard, Vancouver, ISO, and other styles

47

Sathya, J. "A Quick Review of Data Security, Privacy in Cloud Computing." Data Analytics and Artificial Intelligence 3, no. 2 (2023): 34–43. http://dx.doi.org/10.46632/daai/3/2/8.

Full text

Abstract:

Data security has been the major issue in information technology. People from all over the world put all kinds of information like public, private and confidential information in the cloud. Also data in the cloud are from various storage devices like servers, PC, mobile devices, smart phones and wireless sensor networks. So data security becomes a serious issue in the cloud environment. Protecting the data from unauthorized access is tedious. There are a lot of issues related to data security and privacy in cloud computing technology. This paper focuses on understanding the security and privac

APA, Harvard, Vancouver, ISO, and other styles

48

Benotmane, Zineb, Ghalem Belalem, and Abdelkader Neki. "A Cloud Computing Model for Optimization of Transport Logistics Process." Transport and Telecommunication Journal 18, no. 3 (2017): 194–206. http://dx.doi.org/10.1515/ttj-2017-0017.

Full text

Abstract:

Abstract In any increasing competitive environment and even in companies; we must adopt a good logistic chain management policy which is the main objective to increase the overall gain by maximizing profits and minimizing costs, including manufacturing costs such as: transaction, transport, storage, etc. In this paper, we propose a cloud platform of this chain logistic for decision support; in fact, this decision must be made to adopt new strategy for cost optimization, besides, the decision-maker must have knowledge on the consequences of this new strategy. Our proposed cloud computing platfo

APA, Harvard, Vancouver, ISO, and other styles

49

Jaiswal, Chandra. "MODERNIZING LEGACY ERP SYSTEMS: AI AND CLOUD INTEGRATION STRATEGIES." International Journal of Computer Science and Mobile Computing 10, no. 7 (2021): 101–19. https://doi.org/10.47760/ijcsmc.2021.v10i07.014.

Full text

Abstract:

The advanced technology requires an effective approach to get accurate results. The Legacy ERP systems are critical to many organizations but often operate on outdated technology that limits the factors like efficiency, flexibility, and efficiency. This article looks at how companies can improve their old systems by using artificial intelligence (AI) and cloud computing. It uses existing research and a logical method to study how businesses are updating their systems, the problems they face, and the results they get. Cloud computing helps by giving flexible storage, quick access to data, and l

APA, Harvard, Vancouver, ISO, and other styles

50

Chandra, Jaiswal. "Modernizing Legacy Erp Systems: Ai and Cloud Integration Strategies." Sarcouncil Journal of Multidisciplinary 2, no. 1 (2022): 38–49. https://doi.org/10.5281/zenodo.15476853.

Full text

Abstract:

The advanced technology requires an effective approach to get accurate results. The Legacy ERP systems are critical to many organizations but often operate on outdated technology that limits the factors like efficiency, flexibility, and efficiency. This article looks at how companies can improve their old systems by using artificial intelligence (AI) and cloud computing. It uses existing research and a logical method to study how businesses are updating their systems, the problems they face, and the results they get. Cloud computing helps by giving flexible storage, quick access to data, and l

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!