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Journal articles on the topic 'Cloud deployment models'

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1

B. Patel, Prof Hiral, and Prof Nirali Kansara. "Cloud Computing Deployment Models: A Comparative Study." International Journal of Innovative Research in Computer Science & Technology 9, no. 2 (2021): 45–50. http://dx.doi.org/10.21276/ijircst.2021.9.2.8.

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Elkhatib, Yehia. "Building Cloud Applications for Challenged Networks." Communications in Computer and Information Science 514 (November 21, 2015): 1–10. https://doi.org/10.1007/978-3-319-25043-4_1.

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Cloud computing has seen vast advancements and uptake in many parts of the world. However, many of the design patterns and deployment models are not very suitable for locations with challenged networks such as countries with no nearby datacenters. This paper describes the problem and discusses the options available for such locations, focusing specifically on community clouds as a short-term solution. The paper highlights the impact of recent trends in the development of cloud applications and how changing these could better help deployment in challenged networks. The paper also outlines the c
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Bisman, Singh, Tuli Bhumika, and Kumar Rakesh. "Cloud computing: Virtualization, service models, and deployment options." i-manager’s Journal on Cloud Computing 11, no. 2 (2024): 28. https://doi.org/10.26634/jcc.11.2.21197.

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Cloud computing has completely transformed how users access and use applications, services, and data. This study provides a thorough analysis of cloud computing, including its history, key features, the role of virtualization in cloud environments, and various cloud service models. From the introduction of time-sharing in the 1960s to its widespread adoption in the 2000s, cloud computing has evolved significantly. The properties of cloud computing, such as resource pooling, on-demand self-service, measured service, resilience, and rapid flexibility, are examined in this research. Virtualizatio
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Luyembi, Tshiniama Honoré, and Mudinga Arsène Banza. "Comparative Study of Different Cloud Computing Deployment Models." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 2 (2025): 579–87. https://doi.org/10.5281/zenodo.14921249.

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Cloud Computing, often seen as a technological revolution, makes it possible to dematerialize information systems by making services accessible via a communication network, more often via the Internet. Its growth can be explained by its major advantages such as cost reduction, greater flexibility and independence from traditional physical infrastructures. We will compare the 4 cloud deployment models by showing how each model works. We will also detail the benefits and risks associated with each model.  The Study Focuses on these Four main Deployment models, Namely:  Public Cloud,  Private
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Liagkou, Vasiliki, George Fragiadakis, Evangelia Filiopoulou, Vagia Kyriakidou, Christos Michalakelis, and Mara Nikolaidou. "Comparing the Cost of IaaS and CaaS Services." International Journal of Technology Diffusion 13, no. 1 (2022): 1–11. http://dx.doi.org/10.4018/ijtd.315632.

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Cloud computing environments allow businesses to deploy applications in a fast and scalable way. Infrastructure-as-a-service (IaaS) and container-as-a-service (CaaS) models can be adopted for the deployment of cloud-based applications. The current paper presents a specific near-real-world scenario of a cloud-based application, deployed by the two aforementioned cloud models. The deployment cost differs between the cloud models and relies on the number of utilized resources, which is driven by the user demand. Since the cost is a major importance factor that finally determines the adoption of c
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Eid, Mustafa I. M., Ibrahim M. Al-Jabri, and M. Sadiq Sohail. "Selection of Cloud Delivery and Deployment Models." International Journal of Decision Support System Technology 10, no. 4 (2018): 17–32. http://dx.doi.org/10.4018/ijdsst.2018100102.

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Research interests on cloud computing adoption and its effectiveness in terms of cost and time has been increasing. However, one of the challenging decisions facing management in adopting cloud services is taking on the right combinations of cloud service delivery and deployment models. A comprehensive review of literature revealed a lack of research addressing this selection decision problem. To fill this research gap, this article proposes an expert system approach for managers to decide on the right combination of service delivery and deployment model selection. The article first proposes a
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Abirami Dasu Jegadeesh and Gaurav Samdani. "Cloud computing: Exploring options and choosing the best fit for your business." World Journal of Advanced Engineering Technology and Sciences 7, no. 2 (2022): 349–59. https://doi.org/10.30574/wjaets.2022.7.2.0120.

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Cloud computing has caused a revolution in how companies do business giving them flexibility, scalability, and cost-efficiency like never before. It lets organizations use computing resources through the internet instead of relying on the usual in-house setup making cloud computing a key part of today's IT plans. From new startups to big global companies, businesses are using cloud solutions more and more to boost their ability to adapt cut down on running costs, and come up with new ideas. The cloud ecosystem is big and varied, with different deployment models and service types to suit variou
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Yashasvi, Sharma, and Sharma Yashraj. "SECURITY ISSUES AND ENVIRONMENTS IN CLOUD COMPUTING." International Journal of Research - Granthaalayah 7, no. 7 (2019): 398–404. https://doi.org/10.5281/zenodo.3365361.

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This paper will explore the service models and background and also presents the existing research issues implicating in cloud computing such as security, privacy, reliability, and so on. Cloud Computing, Architecture and Characteristics of Cloud Computing and also different Services and Deployment models provided in Cloud Computing. This paper provides a better understanding of the cloud computing and identifies important research issues in this rapidly growing area of computer science.
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Subramani, B. S., Prasanna P. Tejas, R. Rohan, and Pavan P. "Cloud Computing - Cryptography: A Comprehensive Study on Methodologies and Applications." Recent Trends in Computer Graphics and Multimedia Technology 7, no. 1 (2025): 29–36. https://doi.org/10.5281/zenodo.14886405.

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<em>Pall computing is an Internet-based computing paradigm that pays cloud druggies (CU) on a pay-per-use basis and makes many coffers available to them through Cloud Service Providers (CSP) on demand without requiring them to purchase the underlying infrastructure. To increase efficiency and the ability to complete several activities at once, it facilitates the virtualization of physical funds. A variety of deployment options are offered by the Cloud Computing Environment (CCE) to reflect the many orders of pall that organizations or institutions possess. Service models and deployment models
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Berenberg, Anna, and Brad Calder. "Deployment Archetypes for Cloud Applications." ACM Computing Surveys 55, no. 3 (2023): 1–48. http://dx.doi.org/10.1145/3498336.

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This is a survey article that explores six Cloud-based deployment archetypes for Cloud applications and the tradeoffs between them to achieve high availability, low end-user latency, and acceptable costs. These are (1) Zonal, (2) Regional, (3) Multi-regional, (4) Global, (5) Hybrid, and (6) Multi-cloud deployment archetypes. The goal is to classify cloud applications into a set of deployment archetypes and deployment models that tradeoff their needs around availability, latency, and geographical constraints with a focus on serving applications. This enables application owners to better examine
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Wood, Robert, Matthew Wyant, Christopher S. Bretherton, et al. "Clouds, Aerosols, and Precipitation in the Marine Boundary Layer: An Arm Mobile Facility Deployment." Bulletin of the American Meteorological Society 96, no. 3 (2015): 419–40. http://dx.doi.org/10.1175/bams-d-13-00180.1.

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Abstract The Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) deployment at Graciosa Island in the Azores generated a 21-month (April 2009–December 2010) comprehensive dataset documenting clouds, aerosols, and precipitation using the Atmospheric Radiation Measurement Program (ARM) Mobile Facility (AMF). The scientific aim of the deployment is to gain improved understanding of the interactions of clouds, aerosols, and precipitation in the marine boundary layer. Graciosa Island straddles the boundary between the subtropics and midlatitudes in the northeast Atlantic Ocean
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Gandecha, Divya T. "A Review on Cloud Computing Technology, Cloud Deployment and Service Delivery Models." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (2022): 1238–45. http://dx.doi.org/10.22214/ijraset.2022.40022.

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Abstract: With the advent of Cloud Computing technology, organizations are rapidly shifting their IT systems from traditional client/server to cloud computing model where everything is offered as a service whether it’s a software, hardware or storage capacity. Cloud computing uses the concept of pay as per use basis where users do not need to pay for infrastructure, installation and its maintenance. Anyone can access the desired service from the cloud anytime, anywhere in the world on demand basis. The utilization of this innovative technology makes collaboration easier among companies or orga
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Gudi, Srikanth Reddy. "A Comparative Analysis of Pivotal Cloud Foundry and OpenShift Cloud Platforms." American Journal of Applied Sciences 7, no. 07 (2025): 20–29. https://doi.org/10.37547/tajas/volume07issue07-03.

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The paper presents a comprehensive comparative analysis of two leading enterprise-grade Platform as a Service (PaaS) solution: Pivotal Cloud Foundry (PCF) and Red Hat OpenShift. It examines their architectures, deployment models, operational characteristics, developer experiences, security features, performance attributes, and ecosystem support. The research highlights key differences between PCF's custom architecture with Warden containers and OpenShift's Kubernetes-native approach. The analysis covers installation procedures, management tools, application deployment workflows, and migration
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Colin, Ting Si Xue1 Felicia Tiong Wee Xin2. "BENEFITS AND CHALLENGES OF THE ADOPTION OF CLOUD COMPUTING IN BUSINESS." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 1, December (2018): 01–15. https://doi.org/10.5281/zenodo.1436458.

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The loss of business and downturn of economics almost occur every day. Thus technology is needed in every organization. Cloud computing has played a major role in solving the inefficiencies problem in organizations and increase the growth of business thus help the organizations to stay competitive. It is required to improve and automate the traditional ways of doing business. Cloud computing has been considered as an innovative way to improve business. Overall, cloud computing enables the organizations to manage their business efficiently. Unnecessary procedural, administrative, hardware and s
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Paraschos, Maniatis. "Comparison of Public, Private, Hybrid, and Community Cloud Computing in Terms of Purchasing and Supply Management: A Quantitative Approach." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 06, no. 06 (2023): 2359–69. https://doi.org/10.5281/zenodo.7996933.

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Cloud computing has become increasingly popular in recent years due to its cost-effectiveness, scalability, and flexibility. It offers four different deployment models, including public, private, hybrid, and community cloud computing. In this research paper, the aim is to compare these deployment models in terms of purchasing and supply management. A quantitative study is conducted to evaluate the benefits and challenges associated with each deployment model. Additionally, four different industries were analyzed in order to be understood how cloud computing can be leveraged for purchasing and
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Dhiman, Pooja. "Cloud Computing - Overview and its Challenges." RESEARCH REVIEW International Journal of Multidisciplinary 4, no. 3 (2019): 499–501. https://doi.org/10.5281/zenodo.2605480.

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Cloud Computing is a standout amongst the most mainstream developing innovations in this day and age. It holds the possibility to dispense with the prerequisites for setting up of staggering expense computing foundation for IT-based arrangements. Regardless of the potential additions accomplished from the cloud computing, the associations are moderate in tolerating it because of security issues and difficulties related with it. Handing over imperative information to another organization is troubling. This audit paper gives a general review of cloud computing, deployment model of cloud computin
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Osinachi Deborah Segun-Falade, Olajide Soji Osundare, Wagobera Edgar Kedi, Patrick Azuka Okeleke, Tochukwu Ignatius Ijomah, and Oluwatosin Yetunde Abdul-Azeez. "Assessing the transformative impact of cloud computing on software deployment and management." Computer Science & IT Research Journal 5, no. 8 (2024): 2062–82. http://dx.doi.org/10.51594/csitrj.v5i8.1492.

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Cloud computing has fundamentally transformed the landscape of software deployment and management, offering significant benefits and reshaping traditional approaches. This review explores the transformative impact of cloud computing on these domains, highlighting key changes and advantages. Firstly, cloud computing has revolutionized software deployment by introducing scalable and flexible infrastructure solutions. Unlike traditional onpremises systems that require significant upfront investment and ongoing maintenance, cloud platforms offer ondemand resources and payasyougo models. This shift
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Sarfaraz, Ahmed, and Senthil Kumaran T. "Cloud Deployment Methods In Guarantee of Protection and Confidentiality Constraints." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (2018): 101–3. https://doi.org/10.11591/ijeecs.v9.i1.pp101-103.

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Despite of the few advantages of moving venture basic resources for the Cloud, there are difficulties particularly identified with protection and confidentiality. It is essential that Cloud Users comprehend their protection and confidentiality needs, in view of their particular setting and select cloud demonstrate best fit to bolster these requirements. The writing gives works that emphasis on examining protection and confidentiality issues for cloud frameworks however such works don&#39;t give a methodological way to deal with evoke security and security necessities neither one of the methods
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Wišniewski, Michał. "Cloud Computing as a Tool for Improving Business Competitiveness." Foundations of Management 5, no. 3 (2014): 75–88. http://dx.doi.org/10.2478/fman-2014-0021.

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AbstractThis article organizes knowledge on cloud computing presenting the classification of deployment models, characteristics and service models. The author, looking at the problem from the entrepreneur’s perspective, draws attention to the differences in the benefits depending on the cloud computing deployment models and considers an effective way of selection of cloud computing services according to the specificity of organization. Within this work, a thesis statement was considered that in economic terms the cloud computing is not always the best solution for your organization. This raise
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Hall, Samuel R., Kirk Ullmann, Michael J. Prather, et al. "Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission." Atmospheric Chemistry and Physics 18, no. 22 (2018): 16809–28. http://dx.doi.org/10.5194/acp-18-16809-2018.

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Abstract. Measurements from actinic flux spectroradiometers on board the NASA DC-8 during the Atmospheric Tomography (ATom) mission provide an extensive set of statistics on how clouds alter photolysis rates (J values) throughout the remote Pacific and Atlantic Ocean basins. J values control tropospheric ozone and methane abundances, and thus clouds have been included for more than three decades in tropospheric chemistry modeling. ATom made four profiling circumnavigations of the troposphere capturing each of the seasons during 2016–2018. This work examines J values from the Pacific Ocean flig
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Navita. "A CROMLECH EDITION OF CLOUD COMPUTING FRAMEWORK USING CONCEPT OF ONTOLOGY WITH QUERY RETRIEVAL AND REFINEMENT MECHANISM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 9 (2017): 188–95. https://doi.org/10.5281/zenodo.886882.

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We all are living in the world of clouds. User has become adaptive to latest technology trends of information and communication technologies. Cloud computing has made our lives practical and keeps providing us services like consulting, data management and storage in efficient way. Cloud computing is one of emerging areas that is prevailing in industries at grandiose rate. It is combination of Internet and centralized network servers forming a mesh called CLOUD. In this paper, various aspects of cloud computing and its applications are presented. Some differences are provided between network mo
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Researcher. "CLOUD COMPUTING: A COMPREHENSIVE GUIDE TO MODERN INFRASTRUCTURE." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 701–13. https://doi.org/10.5281/zenodo.14222616.

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This comprehensive article explores the evolving landscape of cloud computing, examining its fundamental characteristics, service models, deployment strategies, and future trends. The article investigates how cloud computing has transformed organizational IT infrastructure, enabling unprecedented scalability, cost efficiency, and operational agility. Through a detailed examination of various implementation models, including Infrastructure as a Service, Platform as a Service, and Software as a Service, the analysis reveals the significant impact across industries, from financial services to hea
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Mounika, Kothapalli. "Cloud Computing Architectures: Comparing Service Models (IaaS, PaaS, SaaS) and Deployment Models (Public, Private, Hybrid, Community)- Uses and Trade-offs." Journal of Scientific and Engineering Research 5, no. 10 (2018): 334–41. https://doi.org/10.5281/zenodo.12798259.

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Cloud computing has significantly changed the way organizations approach the software architecture. This paper focuses on three main service layers in cloud IaaS, PaaS and SaaS along with various deployment models (public, private, hybrid and community). As there are several options it is important to understand the differences for any organization to make well informed decision while migrating to the cloud. This paper also discusses the factors that determine adoption of the appropriate service as per the needs of the organization. Additionally, discussed the upcoming trends in cloud computin
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Aditya Sharma. "Cloud computing and enterprise cloud foundations: A technical overview." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 897–906. https://doi.org/10.30574/wjaets.2025.15.3.1006.

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Cloud computing has fundamentally transformed how organizations architect, deploy, and manage their IT infrastructure, marking a paradigm shift from traditional on-premises solutions to dynamic, internet-based delivery models. This transformation encompasses various deployment models including public, private, and hybrid clouds, each offering distinct advantages in terms of scalability, security, and cost optimization. The evolution of cloud computing has led to the development of sophisticated enterprise cloud foundations that incorporate comprehensive governance frameworks, robust security a
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Ahmed, Sarfaraz, and T. Senthil Kumaran. "Cloud Deployment Methods In Guarantee of Protection and Confidentiality Constraints." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (2018): 101. http://dx.doi.org/10.11591/ijeecs.v9.i1.pp101-103.

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&lt;p&gt;Despite of the few advantages of moving venture basic resources for the Cloud, there are difficulties particularly identified with protection and confidentiality. It is essential that Cloud Users comprehend their protection and confidentiality needs, in view of their particular setting and select cloud demonstrate best fit to bolster these requirements. The writing gives works that emphasis on examining protection and confidentiality issues for cloud frameworks however such works don't give a methodological way to deal with evoke security and security necessities neither one of the me
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Bhargav Mallampati. "Demystifying cloud-native microservices architecture for scalable applications." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 1806–17. https://doi.org/10.30574/wjaets.2025.15.1.0422.

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Cloud-native microservices architecture represents a transformational shift in software development, enabling organizations to build resilient, scalable applications specifically designed for cloud environments through decomposed, independently deployable services. This architectural paradigm leverages cloud infrastructure capabilities including elastic scaling, self-healing, and managed services while emphasizing container-based deployments and orchestration platforms. Implementation rates are surging as enterprises recognize substantial benefits in resilience, time-to-market, and operational
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Kurra, Pradeep. "Cloud Technologies in Healthcare: Securing Patient Data and Enabling Scalable Medical Applications." European Journal of Computer Science and Information Technology 13, no. 6 (2025): 96–107. https://doi.org/10.37745/ejcsit.2013/vol13n696107.

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Cloud technologies are transforming healthcare by enhancing data security, enabling scalability, and improving operational efficiency across the industry. The rapid adoption of cloud solutions addresses the growing challenges of managing electronic health records, supporting telemedicine platforms, and leveraging artificial intelligence for diagnostics. Healthcare organizations implementing cloud-based architectures experience significant improvements in data accessibility, reduced infrastructure costs, and enhanced collaborative capabilities. Security frameworks incorporating Zero Trust model
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Piridi, Sarat, Satyanarayana Asundi, and Dr James C. Hyatt. "Cross-Environment Deployment Strategies for Power Platform Solutions – Investigating best practices for managing multi-environment deployments, from development to production, using managed environments and DevOps." International Journal of Advanced Engineering Research and Science 12, no. 4 (2025): 66–75. https://doi.org/10.22161/ijaers.124.8.

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The cross-environment deployment strategies for Power Platform solutions which include moving Power Platform solutions from development to production using managed environments and DevOps practices. The paper takes advantage of ten key academic and industry sources to evaluate frameworks, automation tools and governing models to streamline deployment and enhance system reliability. The measurable benefits of such case studies are reduced deployment time and improved accuracy. With this DevOps deployed throughout cloud and hybrid platform and agile methodology, it facilitates scalable and secur
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Karthik Ravva. "Automated compliance verification for AI models in enterprise Cloud MLOps Pipelines." World Journal of Advanced Research and Reviews 26, no. 3 (2025): 1035–42. https://doi.org/10.30574/wjarr.2025.26.3.2167.

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Ensuring that AI models used in business intelligence systems comply with regulations represents a critical governance challenge as rapid development cycles enabled by MLOps on cloud platforms accelerate model deployment. Manual verification processes prove slow, error-prone, and unscalable in this environment. This article explores techniques and frameworks for automating compliance verification directly within cloud-based MLOps pipelines, investigating the integration of automated checks for fairness, explainability, privacy protection, and robustness testing. The integration of these verifi
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Al-Gharibi, Mansoor, Matthew Warren, and William Yeoh. "Risks of Critical Infrastructure Adoption of Cloud Computing by Government." International Journal of Cyber Warfare and Terrorism 10, no. 3 (2020): 47–58. http://dx.doi.org/10.4018/ijcwt.2020070104.

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The purpose of this article is to discuss the risks and reasons of adopting the cloud computing in the critical infrastructure within the government context of cloud computing adoption. The article will also present examples of cloud computing adoption in the critical infrastructure domain. The data used in the paper was gathered from different academic, governmental, and online sources. It was found that, although there are risks involved in the cloud computing adoption, governments are deploying cloud computing using different deployment models and reaching high level of deployment within th
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Diaby, Tinankoria, and Babak Bashari Rad. "Cloud Computing: A review of the Concepts and Deployment Models." International Journal of Information Technology and Computer Science 9, no. 6 (2017): 50–58. http://dx.doi.org/10.5815/ijitcs.2017.06.07.

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Ahn, Hyun, and Kwanghoon Pio Kim. "Formal Approach to Workflow Application Fragmentations Over Cloud Deployment Models." Computers, Materials & Continua 67, no. 3 (2021): 3071–88. http://dx.doi.org/10.32604/cmc.2021.015280.

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Islam, Shareeful, Moussa Ouedraogo, Christos Kalloniatis, Haralambos Mouratidis, and Stefanos Gritzalis. "Assurance of Security and Privacy Requirements for Cloud Deployment Models." IEEE Transactions on Cloud Computing 6, no. 2 (2018): 387–400. http://dx.doi.org/10.1109/tcc.2015.2511719.

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Zhao, Gansen, Chunming Rong, Martin Gilje Jaatun, and Frode Eika Sandnes. "Reference deployment models for eliminating user concerns on cloud security." Journal of Supercomputing 61, no. 2 (2010): 337–52. http://dx.doi.org/10.1007/s11227-010-0460-9.

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Ashish, Kumar Dass, Parida Ashutosh, Panigrahi Subratansu, and Kanta Moharana Soumya. "Virtualization in Cloud Computing: Transforming Infrastructure and Enhancing Efficiency." Research and Applications: Emerging Technologies 5, no. 3 (2023): 26–40. https://doi.org/10.5281/zenodo.10300506.

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<i>This research delves into the symbiotic relationship between virtualization and cloud computing, two cornerstones reshaping the landscape of modern computing. Virtualization, through techniques like full, partial, and hardware-assisted methods, plays a pivotal role in enabling multi-tenancy and optimizing resource utilization in cloud environments. Cloud computing, with its diverse service models (IaaS, PaaS, SaaS) and deployment models (public, private, hybrid), offers scalable, on-demand computing services. Examining the performance implications of virtualization, the study acknowledges c
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Sharma, Yashasvi, and Yashraj Sharma. "SECURITY ISSUES AND ENVIRONMENTS IN CLOUD COMPUTING." International Journal of Research -GRANTHAALAYAH 7, no. 7 (2019): 398–404. http://dx.doi.org/10.29121/granthaalayah.v7.i7.2019.793.

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This paper will explore the service models and background and also presents the existing research issues implicating in cloud computing such as security, privacy, reliability, and so on. Cloud Computing, Architecture and Characteristics of Cloud Computing and also different Services and Deployment models provided in Cloud Computing. This paper provides a better understanding of the cloud computing and identifies important research issues in this rapidly growing area of computer science.
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Santhosh, Podduturi. "Architectural Patterns for ML in Microservices & Cloud Architecture." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 9, no. 1 (2023): 1–13. https://doi.org/10.5281/zenodo.15087171.

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Machine Learning (ML) is revolutionizing industries by enabling intelligent decision-making and automation. However, deploying ML models in modern cloud-native applications requires scalable, maintainable, and efficient architectural patterns. This paper explores architectural patterns that facilitate the seamless integration of ML into microservices and cloud-based ecosystems. It discusses various deployment models, including ML Model as a Service (MaaS), Event-Driven ML, Federated Learning, and Serverless ML, highlighting their advantages, challenges, and best practices.The paper delves into
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Tkachenko, Olha, Oleksandr Tkachenko, and Kostiantyn Tkachenko. "Actual Trends of Cloud Computing and Technologies in Optimization of Data Storage." Digital Platform: Information Technologies in Sociocultural Sphere 3, no. 2 (2020): 192–208. https://doi.org/10.31866/2617-796x.3.2.2020.220602.

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The purpose of the article&nbsp;is to investigate and consider the general trends, problems and prospects of using cloud computing and technologies in data processing, in particular optimization of their storage. The research methodology&nbsp;consists of semantic analysis methods of the basic concepts of the considered subject area (cloud computing and cloud technologies). The article discusses approaches to storing data (including multimedia) in modern systems that support cloud computing and technologies. The scientific novelty&nbsp;of the research is the analysis of cloud computing use and
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Prudhvi, Naayini, and Bura Chiranjeevi. "Optimizing AI Model Inference on Serverless Cloud Platforms: A Scalable Approach." International Journal of Current Science Research and Review 08, no. 05 (2025): 1927–35. https://doi.org/10.5281/zenodo.15323189.

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Abstract : The increasing prevalence of Artificial Intelligence (AI) and Machine Learning (ML) models across various industries has highlighted the critical need for efficient and scalable deployment strategies. Traditional deployment methods often struggle with adapting to fluctuating demands and maintaining cost-effectiveness. Serverless computing has emerged as a promising solution to address these challenges. This paper investigates the deployment of AI models within serverless architectures on Amazon Web Services (AWS), specifically focusing on AWS Lambda and Knative. The study analyzes t
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Smirnov, Yury. "Cloud computing. The history and impact on libraries’ future." Scientific and Technical Libraries, no. 6 (June 1, 2016): 62–73. http://dx.doi.org/10.33186/1027-3689-2016-6-62-73.

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The background of cloud computing, key characteristics and terminology problems are discussed; deployment models and cloud services are introduced; the positive features and drawbacks are described. Cloud technologies impact on libraries and community at large is emphasized.
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Vorobeva, Irina Alekseevna, Alexander Vladimirovich Panov, Alexander Arkadyevich Safronov, and Alexey Ivanovich Sazonov. "Cloud Computing Models for Business." International Journal of Emerging Technology and Advanced Engineering 12, no. 1 (2022): 163–72. http://dx.doi.org/10.46338/ijetae0122_16.

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The idea of cloud computing is not a new one, it has been developed and discussed for many years. Cloud computing is a model which allows to get access to the network upon request from the set of adjustable computing services, such as infrastructure, applications and storages. Cloud services and data storage products allow their users to store and share any type of document and file from any device connected to Internet. There are several types of cloud services, which can be subdivided into: SaaS (Software as a Service), PaaS (Platform as a Service), IaaS (Infrastructure as a Service). Beside
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Basu, Aveek, and Sanchita Ghosh. "Implementing Fuzzy TOPSIS in Cloud Type and Service Provider Selection." Advances in Fuzzy Systems 2018 (November 15, 2018): 1–12. http://dx.doi.org/10.1155/2018/2503895.

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Cloud computing can be considered as one of the leading-edge technological advances in the current IT industry. Cloud computing or simply cloud is attributed to the Service Oriented Architecture. Every organization is trying to utilize the benefit of cloud not only to reduce the cost overhead in infrastructure, network, hardware, software, etc., but also to provide seamless service to end users with the benefit of scalability. The concept of multitenancy assists cloud service providers to leverage the costs by providing services to multiple users/companies at the same time via shared resource.
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Carlin, Sean, and Kevin Curran. "Cloud Computing Security." International Journal of Ambient Computing and Intelligence 3, no. 1 (2011): 14–19. http://dx.doi.org/10.4018/jaci.2011010102.

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In this paper, the authors focus on Cloud Computing, which is a distributed architecture that centralizes server resources on quite a scalable platform so as to provide on demand’ computing resources and services The authors outline what cloud computing is, the various cloud deployment models and the main security risks and issues that are currently present within the cloud computing industry.
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Bangar Raju Cherukuri and Senior Web Developer. "Scalable machine learning model deployment using serverless cloud architectures." World Journal of Advanced Engineering Technology and Sciences 5, no. 1 (2022): 087–101. https://doi.org/10.30574/wjaets.2022.5.1.0025.

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Implementations of the developed ML models are related to important questions of scale, resource, and management. This work investigates the use of serverless cloud models to address these issues and enhance and optimize the deployment, scalability, and maintenance of ML models. Reviewing main serverless platforms and their compatibility with different ML development and usage stages, the research compares the effectiveness, cost, and adaptability to the common application deployment practices. The study in this paper employs case and performance analysis to show and explain how serverless sol
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Ngeru, James, and Tridip Kumar Bardhan. "Selecting Cloud Deployment Model Using a Delphi Analytic Hierarchy Process (DAHP)." Industrial and Systems Engineering Review 3, no. 1 (2015): 59–70. http://dx.doi.org/10.37266/iser.2015v3i1.pp59-70.

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Cloud computing is a significant paradigm shift in information technology (IT) service offerings that has been receiving enormous attention in academic and IT industry. Recent years has seen exponential growth in cloud use adoption, where many organizations are moving their IT resources into cloud due to flexibility and low-cost. However, on account of rapid innovation and growth in cloud technologies and service providers, selecting the right cloud services, provider and strategy is becoming increasing a common challenge to organization during cloud adoption. In an attempt to address this cha
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Rajendran, Prem, Sarthak Maloo, Rohan Mitra, Akchunya Chanchal, and Raafat Aburukba. "Comparison of Cloud-Computing Providers for Deployment of Object-Detection Deep Learning Models." Applied Sciences 13, no. 23 (2023): 12577. http://dx.doi.org/10.3390/app132312577.

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As cloud computing rises in popularity across diverse industries, the necessity to compare and select the most appropriate cloud provider for specific use cases becomes imperative. This research conducts an in-depth comparative analysis of two prominent cloud platforms, Microsoft Azure and Amazon Web Services (AWS), with a specific focus on their suitability for deploying object-detection algorithms. The analysis covers both quantitative metrics—encompassing upload and download times, throughput, and inference time—and qualitative assessments like cost effectiveness, machine learning resource
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Sánchez, Julia, Guiomar Corral, Ramon Martín de Pozuelo, and Agustín Zaballos. "Security issues and threats that may affect the hybrid cloud of FINESCE." Network Protocols and Algorithms 8, no. 1 (2016): 26. http://dx.doi.org/10.5296/npa.v8i1.8727.

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FINESCE is the Smart Energy use case project of the Future Internet Public Private Partnership Programme. It aims at defining an open infrastructure based on Information and Communications Technology (ICT) used to develop new solutions and applications in all fields of Future Internet related to the energy sector. To accomplish this goal a cloud-based environment is proposed, providing high scalability, fast provisioning, resilience and cost efficiency, while facilitating the deployment of applications and services for utilities.The proposed solution for Smart Energy system encompasses Cloud C
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Mishra, Yogesh. "Cloud Computing and Its Mechanisms: A Comprehensive Study." International Journal for Research in Applied Science and Engineering Technology 12, no. 7 (2024): 979–82. http://dx.doi.org/10.22214/ijraset.2024.63700.

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Abstract: Cloud computing has emerged as a transformative technology, revolutionizing how computational resources are accessed and managed. This paper explores the fundamental concepts of cloud computing, its architecture, service models, deployment models, and key mechanisms that enable its functionality. We also examine the benefits and challenges associated with cloud computing, along with its applications across various domains. The paper concludes with a discussion on future trends and potential developments in cloud computing.
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Mota, Gustavo Oliveira, and Cristina Corrêa de Oliveira. "Cloud Computing and Provisioning on Amazon Web Services." EnGeTec em Revista 1, no. 9 (2024): e402. https://doi.org/10.5281/zenodo.13367821.

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Cloud computing has drawn attention for its purpose of addressing significant challenges faced by businesses, such as keeping their applications available in scenarios of high demand, securely storing their data, and reducing costs associated with infrastructure. This article aims to explore the concept of cloud computing, covering the basics of cloud computing, its key characteristics, service models, deployment models, benefits, and limitations. After provisioning a cloud-based application programming interface using Amazon Web Services as the provider, following a serverless architecture wi
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Nagaraju Ankathi and Dr. Kumar Bhatia. "A Retrospective and Prospective Analysis of Cloud Computing: Historical Context, Deployment Strategies, and Service Models." International Journal of Information Technology and Management 19, no. 1 (2024): 1–5. http://dx.doi.org/10.29070/5x52wt84.

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The network concerned usually discusses the use of the Internet for various services, including data storage, software, security, etc. These services are commonly referred to as cloud-based information services. Examples of such services include Gmail, YouTube, Amazon, and Dropbox. The paper covers the evolution of cloud computing from its early stages to the present day and explores the different services offered by cloud computing in both personal and business computing scenarios. It provides an overview of the history, deployment, and service models that led to the development of cloud comp
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