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Journal articles on the topic 'SaaS environments'

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1

Ritesh, Kumar. "Optimizing Kubernetes-Based SaaS Applications for High Availability and Performance." Journal of Advances in Developmental Research 15, no. 2 (2024): 1–18. https://doi.org/10.5281/zenodo.14988354.

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Kubernetes has become the leading orchestration platform for containerized Software-as-a-Service (SaaS) applications, offering scalability, resilience, and automation. However, maintaining high availability (HA) and optimizing performance in multi-tenant SaaS environments remains challenging due to workload fluctuations, resource contention, and network overhead. This paper proposes a systematic approach to optimizing Kubernetes-based SaaS applications by integrating advanced workload distribution, AI/ML-driven predictive scaling, and efficient resource management strategies. We evaluate the e
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Meshram, Bandu B., Varshapriya Jyotinagar, and Vikash Mendhe. "Intelligent Systems for Cloud SAAS Forensic." Journal of Web Applications and Cyber Security 2, no. 1 (2024): 31–41. http://dx.doi.org/10.48001/jowacs.2024.2131-41.

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The rapid growth of Software-as-a-Service (SaaS) applications in cloud environments has introduced new challenges for digital forensics investigators. Traditional forensic methods are often insufficient to collect, preserve, and analyze digital evidence from cloud-based environments. To address these challenges, this scope will propose the development of an Intelligent System for Cloud SaaS Forensic (ISC-SF) for OpenStack environment. The ISC-SF will integrate machine learning algorithms with the SaaS model and will present the algorithms to design for attribute selection, machine learning mod
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ZAFAR, KASHIF, RAUF BAIG, NABEEL BUKHARI, and ZAHID HALIM. "ROUTE PLANNING AND OPTIMIZATION OF ROUTE USING SIMULATED ANT AGENT SYSTEM." Journal of Circuits, Systems and Computers 20, no. 03 (2011): 457–78. http://dx.doi.org/10.1142/s0218126611007396.

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This research presents an optimization technique for route planning using simulated ant agents for dynamic online route planning and optimization of the route. It addresses the issues involved during route planning in dynamic and unknown environments cluttered with obstacles and objects. A simulated ant agent system (SAAS) is proposed using modified ant colony optimization algorithm for dealing with online route planning. It is compared with evolutionary technique on randomly generated environments, obstacle ratio, grid sizes, and complex environments. The evolutionary technique performs well
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Chima, Azubuike, Aumbur Kwaghter Sule, Peter Adeyemo Adepoju, Ugochukwu Francis Ikwuanusi, and Chinekwu Somtochukwu Odionu. "Integrating Saas Products in Higher Education: Challenges and Best Practices in Enterprise Architecture." International Journal of Research and Scientific Innovation XI, no. XII (2025): 948–57. https://doi.org/10.51244/ijrsi.2024.11120082.

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This review paper explores the integration of Software as a Service (SaaS) products in higher education, focusing on the challenges and best practices associated with enterprise architecture (EA). As higher education institutions increasingly adopt SaaS solutions to enhance efficiency, student engagement, and digital transformation, they face a range of technical, organizational, and security challenges. The paper outlines best practices to ensure successful SaaS integration, including strategic planning, architectural considerations, vendor selection, and continuous monitoring. It also discus
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Researcher. "ARCHITECTURAL CONSIDERATIONS FOR MASS CUSTOMIZATION IN SAAS PRODUCTS TO MEET ORGANIZATIONAL NEEDS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 4 (2024): 339–48. https://doi.org/10.5281/zenodo.13236815.

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This article explores the architectural considerations and implementation strategies for enabling mass customization in Software as a Service (SaaS) products. As organizations increasingly demand tailored software solutions, SaaS providers face the challenge of balancing standardized service delivery with customization needs. The study outlines key architectural components, including modular design, scalable infrastructure, integration capabilities, and security measures. It also delves into implementation strategies such as configuration management, extensibility frameworks, dynamic UI compos
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Fardinpour, Mojgan, Alireza Sadeghi Milani, and Monire Norouzi. "Towards techniques, challenges and efforts of software as a service layer based on business applications in cloud environments." Kybernetes 49, no. 12 (2020): 2993–3018. http://dx.doi.org/10.1108/k-07-2019-0520.

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Purpose Cloud computing is qualified to present proper limitless storage and computation resources to users as services throughout the internet. Software as a service (SaaS) layer is the key paradigm perspective in the software layer of the cloud computing. SaaS is connected by business applications to access consumers on existing public, private and hybrid cloud models. This purpose of this paper is to present a discussion and analysis on the SaaS layer based on business applications in the cloud environment in form of a classical taxonomy to recognize the existing techniques, challenges and
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Wei, Yi, Daniel Kudenko, Shijun Liu, Li Pan, Lei Wu, and Xiangxu Meng. "A Reinforcement Learning Based Auto-Scaling Approach for SaaS Providers in Dynamic Cloud Environment." Mathematical Problems in Engineering 2019 (February 3, 2019): 1–11. http://dx.doi.org/10.1155/2019/5080647.

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Cloud computing is an emerging paradigm which provides a flexible and diversified trading market for Infrastructure-as-a-Service (IaaS) providers, Software-as-a-Service (SaaS) providers, and cloud-based application customers. Taking the perspective of SaaS providers, they offer various SaaS services using rental cloud resources supplied by IaaS providers to their end users. In order to maximize their utility, the best behavioural strategy is to reduce renting expenses as much as possible while providing sufficient processing capacity to meet customer demands. In reality, public IaaS providers
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Barqawi, Neda, Kamran Syed, and Lars Mathiassen. "Applying service-dominant logic to recurrent release of software: an action research study." Journal of Business & Industrial Marketing 31, no. 7 (2016): 928–40. http://dx.doi.org/10.1108/jbim-02-2015-0030.

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Purpose Fierce competition drives software vendors to rely on Software-as-a-Service (SaaS) strategies and to continuously match new releases with customers’ needs and competitors’ moves. Such recurrent release practices pose specific challenges for software vendors which shape how they service customers. To address these challenges, this paper aims to apply service science to innovate strategies for SaaS release management. Design/methodology/approach Based on action research methodology, the authors collaborated closely with Software Inc., an alias for a large multinational software provider,
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Ritesh, Kumar. "Optimizing Graph-Based Search Algorithms for Large-Scale SaaS Applications." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 7, no. 5 (2021): 1–12. https://doi.org/10.5281/zenodo.15026895.

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Graph-based search algorithms offer significant advantages in optimizing query performance, scalability, and search relevance in large-scale, multi-tenant Software-as-a-Service (SaaS) applications. Traditional search methodologies often struggle with high query volumes, dynamic indexing, and tenant isolation, leading to increased latency and inefficient resource utilization. This paper explores the role of graph traversal techniques, including Dijkstra’s Algorithm, A* Search, Breadth-First Search (BFS), and PageRank-inspired methods, in enhancing search efficiency. Various indexing strat
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Do, Sanghoon, Woohang Kim, Huiseong Cho, and Jongpil Jeong. "SaaMES: SaaS-Based MSA/MTA Model for Real-Time Control of IoT Edge Devices in Digital Manufacturing." Sustainability 14, no. 16 (2022): 9864. http://dx.doi.org/10.3390/su14169864.

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As a software delivery model, Software as a Service (SaaS) has attracted considerable attention from software providers and users. Most traditional companies are shifting their businesses to an SaaS model. SaaS development is a very complicated process and its success depends on architectural design and development. A Manufacturing Execution System (MES) was used at the expense of licensing fees for features not used in the On-Premise environment, although the features used vary depending on the manufacturing environment. In an SaaS environment, MES is applied with a function-specific containe
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Opara-Martins, Justice, Reza Sahandi, and Feng Tian. "A Holistic Decision Framework to Avoid Vendor Lock-in for Cloud SaaS Migration." Computer and Information Science 10, no. 3 (2017): 29. http://dx.doi.org/10.5539/cis.v10n3p29.

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Cloud computing offers an innovative business model to enterprise for IT services consumption and delivery. Software as a Service (SaaS) is one of the cloud offerings that attract organisations as a potential solution in reducing their IT cost. However, the vast diversity among the available cloud SaaS services makes it difficult for customers to decide whose vendor services to use or even to determine a valid basis for their selections. Moreover, this variety of cloud SaaS services has led to proprietary architectures and technologies being used by cloud vendors, increasing the risk of vendor
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Chu, Mingze. "Fault-tolerant Mechanisms and Dynamic User Guidance for Proactive AI Agents in Enterprise SaaS Environments." Applied and Computational Engineering 160, no. 1 (2025): 232–38. https://doi.org/10.54254/2755-2721/2025.tj23597.

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Enterprise-level Software-as-a-Service (SaaS) platforms have become critical to modern business operations but often suffer from system faults and user errors. Proactive AI Agents offer a promising approach by predicting failures and providing real-time user support before issues occur. This paper presents a structured study of the architecture, classification, and integration of Proactive AI Agents within SaaS environments. The paper looks at important features of these agentslike being independent, making predictions, learning, and interactingand then sorts them into categories based on how
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Ritesh Kumar, Ritesh Kumar. "Multi-Tenant SaaS Architectures: Design Principles and Security Considerations." Journal of Software Engineering and Simulation 6, no. 5 (2020): 28–41. https://doi.org/10.35629/3795-06052841.

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Multi-Tenant Software-as-a-Service (SaaS) architectures enable cost-efficient, scalable, and maintainable cloud-based applications. However, designing a secure multi-tenant system introduces challenges related to data isolation, access control, tenant resource management, and compliance. This paper explores key design principles for building secure and scalable multi-tenant SaaS applications, comparing database partitioning strategies (single-tenant vs. multi-tenant models) and isolation techniques (network, compute, and data security). Additionally, role-based access control (RBAC) and attrib
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Sharif, Shaghahyegh, Paul Watson, Javid Taheri, Surya Nepal, and Albert Y. Zomaya. "Privacy-Aware Scheduling SaaS in High Performance Computing Environments." IEEE Transactions on Parallel and Distributed Systems 28, no. 4 (2017): 1176–88. http://dx.doi.org/10.1109/tpds.2016.2603153.

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Onibokun, Tolulope, Assumpta Ejibenam, Prince Chukwuemeka Ekeocha, Hakeem Ademola Onayemi, and Nnennaya Halliday. "The use of AI to improve CX in SAAS environment." International Journal of Multidisciplinary Research and Growth Evaluation 3, no. 3 (2022): 672–79. https://doi.org/10.54660/.ijmrge.2022.3.3.672-679.

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In today’s digitally driven market, Software as a Service (SaaS) providers face increasing pressure to deliver seamless, efficient, and personalized customer experiences (CX). Artificial Intelligence (AI) has emerged as a transformative tool in achieving these goals, enabling companies to anticipate customer needs, automate support services, and drive user engagement. This study explores the application of AI technologies in enhancing CX within SaaS environments, focusing on how tools such as chatbots, recommendation engines, predictive analytics, and natural language processing (NLP) contribu
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Doungtap, Surasachai, Jenq-Haur Wang, and Varinya Phanichraksaphong. "Comparative Analysis of SAAS Model and NPC Integration for Enhancing VR Shopping Experiences." Applied Sciences 14, no. 15 (2024): 6573. http://dx.doi.org/10.3390/app14156573.

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This article examines the incorporation of the Shopping Assistance Automatic Suggestion (SAAS) model into Virtual Reality (VR) environments in order to improve the online shopping experience. The SAAS model employs sophisticated deep learning methods to offer customized product recommendations, which are conveyed by non-player characters (NPCs) via voice-based interactions. Our goal is to develop an interactive shopping experience that replicates real-life interactions by integrating AI-powered recommendations with immersive VR technology. We gather and standardize data from several open comme
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Harish Reddy Bonikela1 and Prof (Dr) Ajay Shriram Kushwaha2. "Machine Learning for Fraud Detection in SaaS Platforms." Universal Research Reports 12, no. 1 (2025): 117–38. https://doi.org/10.36676/urr.v12.i1.1466.

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Fraud detection in Software as a Service (SaaS) platforms has garnered significant attention in light of the growing complexity of cybercrimes and the growing need to protect sensitive user data. Although traditional methods of fraud detection are largely based on rule-based systems, machine learning (ML) has emerged as a more effective option due to its ability to detect complex and dynamic patterns of fraud. This paper performs a literature review for the period 2015-2024, examining the use of various ML techniques in fraud detection in SaaS environments. Early research focused on basic clas
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Varshapriya N Jyotinagar, Et al. "A Conceptual Cloud Forensic Investigation Process Model for Software as a Service(SaaS) Applications." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 838–44. http://dx.doi.org/10.17762/ijritcc.v11i10.8600.

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This paper explore a structured and systematic approach cloud forensic investigation process model for SaaS applications, to investigate the digital crimes in the cloud environment and contributing to enhanced security and privacy of acquired data during forensic investigation .The proposed model offers the distinctive characteristics of cloud environments and the varying levels of access and control within them. In this proposed model, the systematic forensic investigation process is detailed with microscopic details with four phases namely the initial phase, the acquisition phase, the analys
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Joshi, Hrishikesh. "Enterprise Design Patterns for CPQ Integration in B2B SaaS Environments." International Journal of Computer Applications 186, no. 43 (2024): 40–48. http://dx.doi.org/10.5120/ijca2024924063.

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Sandí Delgado, Juan Carlos, and Patricia Bazán. "Educational Serious Games as a Service: Challenges and Solutions." Journal of Computer Science and Technology 19, no. 01 (2019): e07. http://dx.doi.org/10.24215/16666038.19.e07.

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Cloud computing is a distributed computing technology that facilitates access to resources in a dynamic and scalable way which is highly available. One of the service models is SaaS (Software as a Service) which allows executing Web applications flexible and elastically while offering collaborative characteristics. The integration of SaaS in educational environments promotes academic performance and facilitates knowledge management, allowing for storage, exchange, access, and synchronization of information. On the other hand, serious educational games promote among the people involved: collabo
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Muthukrishnan Manoharan. "API Rate Limiting Mechanisms in SaaS Applications: A Systematic Analysis of DDoS Protection Strategies." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 1787–98. https://doi.org/10.32628/cseit241061223.

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This article comprehensively analyzes API rate-limiting mechanisms as a critical defense strategy against Distributed Denial-of-Service (DDoS) attacks in Software as a Service (SaaS) applications through systematic evaluation of three primary rate-limiting algorithms. The article examines Token Bucket, Leaky Bucket, and Sliding Window's efficacy in protecting modern API infrastructures. The article synthesizes data from multiple case studies across diverse SaaS deployments, demonstrating a 94% reduction in successful DDoS attempts when implementing context-aware rate limiting compared to tradi
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Yadegaridehkordi, Elaheh, Mehrbakhsh Nilashi, Liyana Shuib, Shahla Asadi, and Othman Ibrahim. "Development of a SaaS Adoption Decision-Making Model Using a New Hybrid MCDM Approach." International Journal of Information Technology & Decision Making 18, no. 06 (2019): 1845–74. http://dx.doi.org/10.1142/s0219622019500366.

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This study is the first attempt that aims to develop a comprehensive decision-making model for Software as a Service (SaaS) adoption in the educational environment. Accordingly, a new hybrid Multi-Criteria Decision Making (MCDM) approach of Grey Relational Analysis (GRA), Classification and Regression Trees (CART), and Fuzzy Rule-Based (FRB) techniques is developed to reveal the importance level of significant factors, model adoption status in the form of “IF-THEN” rules, and predict the level of adoption based on the significant adoption factors and their relationships. This study is the firs
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Aslam, Farhan. "The Benefits and Challenges of Customization within SaaS Cloud Solutions." American Journal of Data, Information and Knowledge Management 4, no. 1 (2023): 14–22. http://dx.doi.org/10.47672/ajdikm.1543.

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Purpose: Software as a Service (SaaS) cloud solutions have gained popularity due to their scalability, cost-effectiveness, and ease of deployment. Customization within SaaS offerings allows businesses to tailor applications to meet their specific needs, enhancing user experiences and overall efficiency. This article examines the benefits and challenges of customization within SaaS cloud solutions. We explore how customization empowers organizations to address unique requirements, streamline workflows, and gain a competitive edge. Additionally, we discuss the potential drawbacks, such as increa
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Wilson, PhD, Duane, and Jeff Avery. "Mitigating Data Exfiltration in SaaS Clouds." Journal of Business, Technology and Leadership 1, no. 1 (2019): 9. http://dx.doi.org/10.54845/btljournal.v1i1.2.

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Existing processes and methods for incident handling are geared towards infrastructures and operational models that will be increasingly outdated by cloud computing. Research has shown that to adapt incident handling to cloud computing environments, cloud customers must establish clarity about their requirements on Cloud Service Providers (CSPs) for successful handling of incidents and contract CSPs accordingly. Secondly, CSPs must strive to support these requirements and mirror them in their Service Level Agreements. Intrusion Detection Systems (IDS) have been used widely to detect malicious
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Kurrey, Ramsingh, Anushree Saha, and Manas Kanti Deb. "Distribution of Some Selected Surface Active Agents (SAAs) in the Aquatic and Global Environment with Their Toxic Impact: A Comprehensive Review." Journal of Ravishankar University (PART-B) 33, no. 1 (2020): 31–46. http://dx.doi.org/10.52228/jrub.2020-33-1-6.

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Surface active agents (SAAs) are a class of compounds, which find various applications in different fields of human activities. Surfactants are generally amphiphilic molecules, which are strongly adsorbed at interfaces between the phases. Surfactants windily used as detergency, emulsion, stabilizing and dispersing agents have led to the discharge of highly contaminated wastewaters in aquatic environment. Once reached in the various compartments of the environment such as rivers, lakes, soils, and sediments, surfactants can undergo aerobic or anaerobic degradation. Concentrations of surfactants
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Benabdelhafid, Maya Souilah, and Mahmoud Boufaida. "Applying Formal Methods to SOA and SaaS Service Compositions for ERP Systems." International Journal of Web Services Research 17, no. 2 (2020): 1–17. http://dx.doi.org/10.4018/ijwsr.2020040101.

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Service oriented architectures (SOA) and software as a service (SaaS) models are accelerating the use of the service concept. They have been rapidly adopted by enterprise resource planning (ERP) providers and offers to organizations modern environments favorable for making strategic decisions. However, as the SaaS concept is often confused with the SOA one, a solution is needed to clarify this problem before moving to the introduction of a framework that aggregates several services. Moreover, most of the services-based solutions rely on a particular composition and only a few are equipped with
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Gomez, Beatriz. "TrimCloud." International Journal of Cloud Applications and Computing 5, no. 1 (2015): 46–57. http://dx.doi.org/10.4018/ijcac.2015010104.

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Virtual desktop infrastructures (VDIs) are a system on a server platform that hosts multiple virtual machines (VMs). Traditionally, VDIs are on-premise and thus are completely supported and maintained internally by an organization; hence, they can be costly and inefficient to maintain and support. In this paper, TrimCloud is proposed as a Software-as-a-Service (SaaS) solution to on-premise VDIs by reducing the costs, labor, and the worries of installing, implementing, and maintaining a VDI. TrimCloud, which uses the VirtualBox program as its hypervisor, delivers isolated virtual environments t
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Kharadzjan, N. A. "Formation of cloud-based learning environment for professional training in programming." CTE Workshop Proceedings 2 (March 20, 2014): 263–68. http://dx.doi.org/10.55056/cte.216.

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The article is devoted the question of forming a full functional based on cloud technology to study subjects from programming cycle for specialists in programming. The object of the research – the process applying cloud technologies in learning. The subject of the research – cloud technology in training of specialists in programming. The purpose of the research – forming a full functional learning environment for training of specialists in programming based on cloud technology. The method of research – analyses.To achieve the goal of the research was conducted review of existing integrated pro
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Chidera Ogeawuchi, Jeffrey, Abel Chukwuemeke Uzoka, Abraham Ayodeji Abayomi, Oluwademilade Aderemi Agboola, Toluwase Peter Gbenle, and Samuel Owoade. "Advancements in Scalable Data Modeling and Reporting for SaaS Applications and Cloud Business Intelligence." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 6 (2024): 2155–62. https://doi.org/10.62225/2583049x.2024.4.6.4267.

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As Software-as-a-Service (SaaS) applications and cloud-based Business Intelligence (BI) platforms proliferate across industries, the demand for scalable, responsive, and intelligent data modeling and reporting solutions has become paramount. This paper presents a comprehensive conceptual and technical exploration of scalable data architectures and reporting mechanisms tailored for SaaS ecosystems and cloud-native BI environments. It begins by contextualizing the rise of multi-tenant cloud systems and outlines the need for resilient data modeling practices that balance extensibility with operat
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Giri, Abhinay. "Designing a SAAS Platform for Industry 4.0 Smart Manufacturing." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 2445–51. http://dx.doi.org/10.22214/ijraset.2023.52142.

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Abstract: The article discusses the concept of Industry 4.0 and its components, in the context of Software as a Service (SaaS) and the Internet of Things (IoT). It proposes a smart manufacturing platform built by utilizing web technologies such as AWS Cloud, React JS, Node JS, and MongoDB. The literature survey includes various research papers on integrating production systems into Industry 4.0 environments, the benefits, and challenges of implementing digital technology in manufacturing, and suggested frameworks for digital transformation and policy-based customization of workflow processes.
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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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Wadke, Priyanshu P. "Toward Transparent and Modular DApps: A Web3 SaaS Prototype for Token Lifecycle Management." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46029.

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Abstract- The evolution of blockchain and Web3 technologies has paved the way for decentralized application platforms that enable transparent, tamper-proof transactions without relying on centralized servers. However, existing solutions such as Gitcoin and Giveth are either too complex or unsuitable for modular deployment in educational and lightweight environments. This paper proposes MetaSuite, a role-based, blockchain-driven Software-as-a-Service (SaaS) platform that enables users to create, transfer, and donate tokens while allowing an administrator to securely withdraw funds. Built entire
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Schwartze, Christian, Franciska Zander, Sven Kralisch, and Wolfgang-Albert Flügel. "Virtual Appliances for geospatial data management and processing in the Integrated Land Management System (ILMS)." Acta Agraria Debreceniensis, no. 49 (November 13, 2012): 59–62. http://dx.doi.org/10.34101/actaagrar/49/2480.

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Virtualization is increasingly taking on a key role in various system architectures which follow new platform concepts like Software as a Service (SaaS). This trend addresses more instant and short-term environments and comes with new methods and strategies for the distribution of mainly complex application stacks not only in large IT infrastructures. The paper presents how a so called Virtual Appliance can be set up in order to operate in virtual server environments using hypervisor software like Oracle Virtual-Box. Using the example of two server-side components within the Integrated Land Ma
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Idemudia, Erhabor Sunday, Constance Karing, and Lawrence Ejike Ugwu. "Cross-cultural validation of acculturation measures: Expanding the East Asian acculturation framework for global applicability." PLOS ONE 20, no. 3 (2025): e0310351. https://doi.org/10.1371/journal.pone.0310351.

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In a globalised world, understanding acculturation, the process by which individuals adapt to new cultural environments, is crucial, especially in multicultural societies experiencing increased migration. The East Asian Acculturation Measure (EAAM), based on Berry’s acculturation model, has been a cornerstone for assessing acculturation strategies among East Asian populations in the United States; however, its cultural specificity limits utility in broader contexts. This study addresses this gap by adapting and validating the EAAM for diverse populations, producing the Shortened Adapted Accult
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Sullivan, Ed. "The customer lifecycle in SaaS environments — Interview with Ed Sullivan of Aria Systems." Journal of Digital Asset Management 4, no. 5 (2008): 260–68. http://dx.doi.org/10.1057/dam.2008.21.

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Elhozmari, Majda, and Ahmed Ettalbi. "WSDL/WADL Conversion in MaaS to Ensure Interoperability in Heterogeneous Environment." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 6, no. 3 (2018): 29. http://dx.doi.org/10.3991/ijes.v6i3.9490.

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Web services refer to a paradigm consisting on communication between applications interfaces. They are the main key to communicate between different environments, such as Cloud Computing based architectures, and constrained environment. SOAP web services are more used then REST web services in education and industrial environment; contrariwise, Media data in web applications used REST web services. The main aim of this paper is to make alive and complete a previously proposed middleware SaaS solution, to enable unattached WSDL and WADL file translation. The Maas architecture is strengthen by d
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Полякова, А. В. "ТЕХНОЛОГИЧЕСКИЕ ПОДХОДЫ К ВНЕДРЕНИЮ ГЕЙМИФИКАЦИИ В ОБРАЗОВАТЕЛЬНЫЙ ПРОЦЕСС". Человеческий капитал, № 5(197) (18 травня 2025): 136–44. https://doi.org/10.25629/hc.2025.05.13.

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В статье рассматриваются современные технологические решения, направленные на внедрение геймификации в образовательную практику. Проведён анализ цифровых инструментов с различной степенью кастомизации, включая специализированные SaaS-платформы, системы управления обучением (LMS), no-code/low-code конструкторы, а также решения на основе API и собственных разработок. Раскрыт потенциал каждой категории решений, а также определены их функциональные и методические ограничения. Полученные результаты могут быть использованы при проектировании образовательных сред, интеграции цифровых инструментов в у
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Egbuhuzor, Nnaemeka Stanley, Ajibola Joshua Ajayi, Experience Efeosa Akhigbe, and Oluwole Oluwadamilola Agbede. "AI in Enterprise Resource Planning: Strategies for Seamless SaaS Implementation in High-Stakes Industries." International Journal of Social Science Exceptional Research 1, no. 1 (2022): 81–95. https://doi.org/10.54660/ijsser.2022.1.1.81-95.

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Enterprise Resource Planning (ERP) systems play a pivotal role in streamlining business operations and improving decision-making in high-stakes industries such as healthcare, finance, and manufacturing. With the rise of Artificial Intelligence (AI), ERP solutions have undergone a paradigm shift, offering enhanced capabilities for real-time data analysis, predictive analytics, and process automation. This paper explores AI's transformative impact on ERP, with a specific focus on strategies for seamless Software-as-a-Service (SaaS) implementation in industries with critical operational demands.
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Do, Yeji, and Jongpil Jeong. "Designing a Cloud-Based MES-SaaS Platform Model in Precision Machining." WSEAS TRANSACTIONS ON COMPUTER RESEARCH 11 (September 21, 2023): 294–302. http://dx.doi.org/10.37394/232018.2023.11.27.

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Smart manufacturing environments are spreading at home and abroad. As a result, SMEs are also recognizing the need for digital transformation. However, they are facing difficulties in introducing MES/ERP software due to the initial cost burden and lack of resources. Under these circumstances, this paper aims to design a cloud-based subscription MES platform that enables SMEs specializing in the precision machining industry to operate efficient production processes and improve productivity and competitiveness. To build a cloud-based subscription MES system, we collect and store manufacturing in
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Bhardwaj, Akashdeep, and Sam Goundar. "Designing a Framework for Cloud Service Agreement for Cloud Environments." International Journal of Cloud Applications and Computing 6, no. 4 (2016): 83–96. http://dx.doi.org/10.4018/ijcac.2016100105.

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Cloud Computing has emerged as the prime IT computing model for an on-demand access using a pool of shared resources with least IT support. Cloud computing is starting to replace the legacy office IT infrastructure and helpdesk support system. Corporate and home users alike are turning into cloud service consumers in a huge way and moving their data and work to the cloud. Therefore, the CSA between the cloud service consumers and cloud service providers has critical significance that can guarantee the highest-level service quality and delivery. The current CSA fall short on the service deliver
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Researcher. "ORCHESTRATING THE CLOUD: AI-ENHANCED RELEASE AUTOMATION IN KUBERNETES ENVIRONMENTS." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 864–78. https://doi.org/10.5281/zenodo.14045753.

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Cloud-native architectures have revolutionized software deployment, necessitating advanced release automation strategies to manage increasingly complex environments. This article explores the synergy between Kubernetes and artificial intelligence in facilitating scalable, self-healing, and optimized deployments for cloud-native applications. We present a comprehensive framework for implementing automated deployment pipelines within Kubernetes clusters, leveraging its native features for horizontal scaling and rolling updates. The integration of AI-driven tools for predictive scaling, anomaly d
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DEETI, VINAY KUMAR. "A Full-Stack Cloud Computing Infrastructure For Machine Learning Tasks." INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT 6, no. 7 (2021): 37–45. https://doi.org/10.5281/zenodo.15128036.

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Since ML applications underwent rapid expansion the development of scalable efficient and cost-effective cloud computing infrastructure became necessary. A complete cloud infrastructure for ML applications connects optimal frameworks to virtualized resources including computer storage systems and networking components to manage entire ML pipeline processes. The study analyzes a detailed cloud architecture that unites IaaS, PaaS and SaaS to deliver smooth development of models while enabling training and deployment management and monitoring purposes. A performance and cost efficiency analysis c
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Sreelatha Pasuparthi. "Spring security integration with spring boot." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 1563–68. https://doi.org/10.30574/wjaets.2025.15.1.0380.

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Spring Security integrated with Spring Boot offers a powerful solution for implementing robust authentication and authorization in Java applications. This integration provides developers with standardized security mechanisms while reducing configuration overhead through Spring Boot's auto-configuration capabilities. The combined framework addresses critical vulnerabilities identified in the OWASP Top 10 and supports various authentication methods including OAuth2 and LDAP. Implementation benefits include reduced development time, improved security posture, and enhanced flexibility across diffe
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A.Shaji, George, and S.Sagayarajan. "Securing Cloud Application Infrastructure: Understanding the Penetration Testing Challenges of IaaS, PaaS, and SaaS Environments." Partners Universal International Research Journal (PUIRJ) ISSN: 2583-5602 02, no. 01 (2023): 24–34. https://doi.org/10.5281/zenodo.7723187.

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Cloud computing is rapidly becoming the go-to platform for businesses of all sizes, from start-ups to large enterprises. With this shift comes a responsibility to ensure that cloud applications are secure and can protect data from malicious actors. Joint responsibility model of cloud security says that while service providers have to make sure their services are secure, businesses that use those services must also take steps to maintain their own level of security. Identity as well as access management is a shared responsibility model that offloads some of the application security responsibili
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BABITA, BABITA, and DR JUGNESH KUMAR. "ENHANCING THE EFFECTIVENESS OF TASK SCHEDULING METHODS IN CLOUD ENVIRONMENTS." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–9. https://doi.org/10.55041/isjem02763.

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Cloud computing combines the supremacy of parallel and distributed systems altogether. It is the first of its kind that delivered services (IaaS, PaaS and SaaS) on-demand. Its elasticity and scalability gains so much popularity worldwide, which is still one of the ongoing technologies. It charges in the form of utility computing based on a variety of pricing models: pay-per-use and reservation basis. Cloud is available in four basic forms that are: Public, Private, Community and Hybrid Cloud. Where, Amazon Web Services, Microsoft Azure, Google Cloud Platform are one of the top service provider
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Ramanan Hariharan. "Zero Trust Security in Multi-Tenant Cloud Environments." Journal of Information Systems Engineering and Management 10, no. 45s (2025): 623–44. https://doi.org/10.52783/jisem.v10i45s.8899.

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As more organizations move to use the multi-tenant cloud infrastructure, the perimeter-based security model is insufficient for the concept of zero-trust security states. Thatently, curing this complex environment, It has “never trust, always verify”. Completely contradicting the conventional models, Zero Trust continually promotes authentication and validation of every access request (inside or outside the network perimeter). As they try to understand how to protect the isolation of tenants, stop alteration movements, and support identity cross services, the paper investigates the challenges
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Researcher. "AZURE CLOUD MIGRATION: STRATEGIES, BEST PRACTICES, AND PERFORMANCE OPTIMIZATION IN ENTERPRISE ENVIRONMENTS." AZURE CLOUD MIGRATION: STRATEGIES, BEST PRACTICES, AND PERFORMANCE OPTIMIZATION IN ENTERPRISE ENVIRONMENTS 7, no. 2 (2024): 576–86. https://doi.org/10.5281/zenodo.14012087.

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This article presents a comprehensive analysis of cloud migration strategies to Microsoft Azure, focusing on best practices, common challenges, and performance optimization techniques. Through a systematic review of current literature and industry case studies, we examine five key migration approaches: Rehosting, Refactoring, Rearchitecting, Rebuilding, and Replacing with SaaS solutions. Our findings emphasize the critical importance of thorough planning and assessment in ensuring successful migrations, highlighting the efficacy of phased approaches and the need for robust security and complia
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Sudha Rani Pujari. "AI-Powered Cybersecurity: A Unified Approach to Protecting Enterprise, Cloud, and SaaS Applications." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 06 (2025): 3024–30. https://doi.org/10.47392/irjaeh.2025.0445.

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With the advent of Artificial Intelligence (AI), cybersecurity paradigms have been turned on their head as AI was engineered to help address the increasing shortfalls of traditional static defense mechanisms. With cyber threats becoming more dynamic, more sophisticated and more multifaceted, AI becomes a core structural element in modern security architecture that supports increased ability to detect, predict and respond to threats in a dynamically adaptive way. This paper provides a critical review of the potential to integrate AI within a number of cybersecurity domains, such as endpoint and
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Metibemu, Olufunke Cynthia, Temilade Oluwatoyin Adesokan-Imran, Adekunbi Justina Ajayi, Olufisayo Juliana Tiwo, Abayomi Titilola Olutimehin, and Oluwaseun Oladeji Olaniyi. "Developing Proactive Threat Mitigation Strategies for Cloud Misconfiguration Risks in Financial SaaS Applications." Journal of Engineering Research and Reports 27, no. 3 (2025): 393–413. https://doi.org/10.9734/jerr/2025/v27i31442.

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Cloud misconfigurations in financial Software-as-a-Service (SaaS) applications pose significant cybersecurity risks, leading to data breaches, financial losses, and reputational harm. This study utilizes data from the Cloud Security Alliance (CSA) Top Threats Dataset, Verizon Data Breach Investigations Report (DBIR), and the MITRE ATT&amp;CK Framework to examine the causes and types of misconfigurations, analyze their financial impact, and evaluate the effectiveness of mitigation strategies. A Chi-Square Test for Independence, Ordinary Least Squares (OLS) Regression, and Kaplan-Meier Survival
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Venkatesh Nagubathula. "Document Automation in Enterprise Integration: A Technical Framework for Cloud-Based SaaS Solutions." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 486–512. https://doi.org/10.32628/cseit25112385.

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Document automation within Enterprise Integration Systems (EIS) has emerged as a transformative force in modern business environments, enabling seamless data exchange and process optimization. This comprehensive framework addresses the multifaceted challenges of integrating automated document processing into cloud-based SaaS solutions. The architecture encompasses cloud infrastructure utilizing containerized deployment and edge computing, connectivity layers with API gateways and event-driven architectures, advanced document processing engines powered by machine learning, and robust security f
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