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Journal articles on the topic 'Scalable Infrastructure'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Shami, Khaldoon, Damien Magoni, and Pascal Lorenz. "Autonomous, scalable, and resilient overlay infrastructure." Journal of Communications and Networks 8, no. 4 (2006): 378–90. http://dx.doi.org/10.1109/jcn.2006.6182786.

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Cui, T., Y. D. Cheng, Z. J. Cheng, and X. W. Jiang. "A loosely coupled scalable cloud infrastructure." Journal of Physics: Conference Series 1085 (September 2018): 032011. http://dx.doi.org/10.1088/1742-6596/1085/3/032011.

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3

Thatikonda, Vamsi. "Architecting Scalable Cloud Infrastructure and Enhanced Search for Pet Ecommerce." International Journal of Science and Research (IJSR) 10, no. 8 (2021): 1234–36. http://dx.doi.org/10.21275/sr231208194624.

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4

Salaudeen, Jubril A. "SUKUK: POTENTIALS FOR INFRASTRUCTURAL DEVELOPMENT IN NIGERIA." Advanced International Journal of Banking, Accounting and Finance 3, no. 7 (2021): 104–13. http://dx.doi.org/10.35631/aijbaf.37009.

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The growth of any economy in the world will happen on the back of the needed infrastructural facilities. And to build the needed infrastructures for national development requires a lot of money and time. There have been incessant concerns of the citizenry on the present level of infrastructural neglect and decay in Nigeria. The infrastructural decay in Nigeria ranks very high when compared to the national resources to the availability and quality of the needed infrastructure. The availability of needed infrastructures will enhance ingenuity, novelty, employment, self-confidence, wealth creation, and social security. However, it is wretched to note that the dire infrastructure in Nigeria is in a bad state thereby creating an evolving crisis. The inability of the government of Nigeria to maintain and endure her perilous infrastructure such as; road rails and pipelines network, the micro small and medium enterprises will require developed and scalable transportation infrastructure ( Land, Air, and Water), Electricity energy ( power for industrial and domestic use), Educational infrastructure ( Schools, Research and instructional materials), Health infrastructure ( Hospital, trained personnel, and Equipment), Security infrastructure ( Police, Military and Para-military). This study aims to explicate the potential of Sukuk as an alternative and sustainable financial vehicle for financing infrastructural development in Nigeria. The study is library-based and analytical and evaluation approaches are used to explore related library-based data on the causes and effects of infrastructural development in Nigeria. The study investigates and describes how the Nigerian government can utilize the potentials of Sukuk investment for infrastructural development across the nation.

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Hartmann, J., and Y. Sure. "An infrastructure for scalable, reliable semantic portals." IEEE Intelligent Systems 19, no. 3 (2004): 58–65. http://dx.doi.org/10.1109/mis.2004.2.

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Wijata, Y. I., D. Niehaus, and V. S. Frost. "A scalable agent-based network measurement infrastructure." IEEE Communications Magazine 38, no. 9 (2000): 174–83. http://dx.doi.org/10.1109/35.868158.

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Yenuganti, Narendranath. "LEVERAGING SCALABLE CLOUD INFRASTRUCTURE: A TECHNICAL PERSPECTIVE." INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND MANAGEMENT INFORMATION SYSTEMS 16, no. 2 (2025): 1342–58. https://doi.org/10.34218/ijitmis_16_02_084.

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Srinivasa Subramanyam Katreddy. "Scalable and Secure AI Infrastructure for High-Impact Industries." Journal of Information Systems Engineering and Management 10, no. 23s (2025): 703–11. https://doi.org/10.52783/jisem.v10i23s.3769.

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As industries increasingly adopt AI-driven solutions, scalable and secure infrastructures become essential to manage data-intensive operations. This paper presents a modular design for scalable AI infrastructure that integrates advanced security protocols with cloud-native technologies. The proposed architecture ensures data integrity, protects sensitive information, and adapts to evolving workload demands. Applications in healthcare and finance are analyzed to demonstrate the model's versatility, highlighting improvements in scalability, reliability, and compliance. This framework serves as a blueprint for deploying secure AI systems in high-stakes industries.

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Venkat Marella. "Implementing Infrastructure as Code (IaC) for Scalable DevOps Automation in Hybrid Cloud." Journal of Sustainable Solutions 1, no. 4 (2024): 145–53. https://doi.org/10.36676/j.sust.sol.v1.i4.46.

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The devOps approach known as Infrastructure as Code (IaC) automates all of the infrastructure's requirements to improve deployment speed, security, scalability, and automatic backup and restoration. Writing code that explains the infrastructure—which allows resources to be generated, destroyed, scaled, replaced, and relocated with ease—is the focus of Infrastructure as a Code (IaC). Installing an operating system on it, setting up servers on instance, adjusting how the software in the instances communicates with one other, and much more are all part of the scripting environment process. In order to achieve an effective infrastructure across all sectors while maintaining security via the usage of public and private clouds, this paper examines a number of tools and technology sets. By automating infrastructure deployment and procedures, continually enhancing the integration and delivery process, and monitoring application performance indicators, DevOps dismantles communication silos and enhances teamwork and productivity. In DevOps, automation is essential, and "Infrastructure as code (IaC)" is a critical component of automation. The management of infrastructure in cloud and physical datacenter systems will also be covered in this article, along with the impact of agile, DevOps, and IaC on infrastructure management. e. In order to achieve an effective infrastructure across all sectors while maintaining security via the usage of public and private clouds, this paper examines a number of tools and technology sets. Our results indicate that adopting IaC has many advantages, but there may also be some difficulties in putting IaC into practice. Additionally, the research recognizes the contribution of DevOps, cloud systems, and agile to the deployment of Infrastructure as a code.

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Wei, Franklin, Stephen Tate, Mahalingam Ramkumar, and Somya Mohanty. "A Scalable Trustworthy Infrastructure for Collaborative Container Repositories." Distributed Ledger Technologies: Research and Practice 1, no. 1 (2022): 1–29. http://dx.doi.org/10.1145/3554760.

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Within cloud computing containerization has become ubiquitous. As the availability of pre-built containers increases there is a need for methods capable of efficiently securing large repositories of software containers. We present a “Trustworthy Container Repository” (TCR) system which provides security assurances (confidentiality, integrity, and authenticity) regarding such a repository in a scalable manner. Trust within the TCR architecture is rooted in a low-complexity, tamper-resistant trusted module, which leverages index-ordered Merkle trees (IOMTs) to efficiently track a large number of container images and provide assurances of repository integrity to its users. The key contributions of the study are, identification of the required security model, a novel TCR data-structure, and verifiable algorithms to operate on it. Through experiment, we observe closely logarithmic time complexity of the proposed system up to a high container count ( N = 2 25 ≈ 10 7 ).

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11

Paul, Brian, Sean Ahern, Wes Bethel, et al. "Chromium Renderserver: Scalable and Open Remote Rendering Infrastructure." IEEE Transactions on Visualization and Computer Graphics 14, no. 3 (2008): 627–39. http://dx.doi.org/10.1109/tvcg.2007.70631.

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Difallah, Djellel Eddine, Philippe Cudre-Mauroux, and Sean A. McKenna. "Scalable Anomaly Detection for Smart City Infrastructure Networks." IEEE Internet Computing 17, no. 6 (2013): 39–47. http://dx.doi.org/10.1109/mic.2013.84.

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Samanta, Abhishek, Fangfei Zhou, and Ravi Sundaram. "SamaritanCloud: Secure infrastructure for scalable location-based services." Computer Communications 56 (February 2015): 1–13. http://dx.doi.org/10.1016/j.comcom.2014.08.013.

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Núñez, Alberto, Jose L. Vázquez-Poletti, Agustin C. Caminero, Gabriel G. Castañé, Jesus Carretero, and Ignacio M. Llorente. "iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator." Journal of Grid Computing 10, no. 1 (2012): 185–209. http://dx.doi.org/10.1007/s10723-012-9208-5.

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15

Zhou, Jing, Wendy Hall, and David De Roure. "Building a Distributed Infrastructure for Scalable Triple Stores." Journal of Computer Science and Technology 24, no. 3 (2009): 447–62. http://dx.doi.org/10.1007/s11390-009-9236-1.

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16

Pattansheetti, Kedar. "Scalable Parking Management Using Cloud Infrastructure and Devops." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 218–22. https://doi.org/10.22214/ijraset.2025.69962.

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Parking management has become a critical issue in modern urban areas due to the increasing number of vehicles. Traditional parking methods rely heavily on manual intervention, leading to inefficiencies, congestion, and high operational costs. To address these challenges, this research proposes a cloud-based Parking Management System that integrates DevOps automation tools to ensure efficiency, scalability, and real-time monitoring. The system is developed using Flask, MySQL, HTML, CSS, and JavaScript and is hosted on AWS EC2 (Free Tier). It employs DevOps tools like Git, Jenkins, and Docker for automation and deployment. The proposed system allows users to check real-time slot availability, make bookings, and process payments online. It enhances parking efficiency by automating space allocation and reducing human intervention. By leveraging cloud infrastructure, this system ensures high availability and remote access. The CI/CD pipeline automates deployment and updates, improving reliability and reducing downtime.

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Zhao, Yuze, Jintao Huang, Jinghan Hu, et al. "SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 28 (2025): 29733–35. https://doi.org/10.1609/aaai.v39i28.35383.

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Recent development in Large Language Models (LLMs) and Multi-modal Large Language Models (MLLMs) have achieved superior performance and generalization capabilities, covered extensive areas of traditional tasks. However, existing large model training frameworks support only a limited number of models and techniques, particularly lacking in support for new models, which makes fine-tuning LLMs challenging for most developers. Therefore, we develop SWIFT, a customizable one-stop infrastructure for large models. With support of over 350+ LLMs and 80+ MLLMs, SWIFT stands as the open-source framework that provide the most comprehensive support for fine-tuning large models. In particular, it is the first training framework that provides systematic support for MLLMs. Moreover, SWIFT integrates post-training processes such as inference, evaluation, and quantization, to facilitate fast adoptions of large models in various application scenarios, offering helpful utilities like benchmark comparisons among different training techniques.

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Sai, Kalyani Rachapalli. "Scalable Infrastructure for AI-Driven Credit Scoring in Microfinance." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 4 (2024): 1–9. https://doi.org/10.5281/zenodo.15564464.

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The introduction of artificial intelligence (AI) has transformed the credit scoring approach of the financial services sector. Microfinance institutions (MFIs) that operate for underbanked and underserved individuals will have a huge amount to gain through AI-based credit scoring systems. But such a system's application requires scalable infrastructure that can efficiently process large-scale, real-time data with precision and reliability. This study explores the needs, design, and deployment of scalable infrastructure for AI-based credit scoring in microfinance. We explore cloud solutions, distributed computing, data lake architecture, and container orchestration platforms as scalability enablers. The methodology is a hybrid AI model with supervised and unsupervised learning techniques experimented across multiple infrastructure configurations. Findings reveal a positive correlation between infrastructure scalability and the performance of AI models, such that strong infrastructure has a marked improvement in credit scoring accuracy and operational efficiency. Our results highlight the importance of infrastructure in unlocking the full value of AI in microfinance and offer actionable recommendations for policymakers, developers, and microfinance institutions interested in embracing AI technologies. In addition, this research emphasizes the socio-economic footprint of scaling AI deployment, as enhanced credit scoring has a direct relation to enhanced access to credit, lower default rates, and greater financial inclusion. The findings point to the fact that investment in strong infrastructure is not just a technology consideration but a strategic necessity for furthering development agendas. By tackling both the technology and operational views, this paper presents an end-to-end framework to grasp how scalable infrastructure can reshape microfinance with AI.

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Alhazeem, Housam Ghanim. "Principles of Cloud Computing Infrastructure IaaS." Journal of engineering sciences and information technology 8, no. 2 (2024): 21–26. http://dx.doi.org/10.26389/ajsrp.a010123.

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Infrastructure as a Service (IaaS) represents a cornerstone in contemporary cloud computing, providing essential on-demand computing resources, including servers, storage, and networking. This paper explores the foundational principles of IaaS, highlighting its ability to facilitate dynamic server management through practices like auto-scaling and ephemeral server utilization. The use of custom images in IaaS ensures minimal downtime and scalable deployment, while loose coupling enhances fault tolerance and adaptability. Emphasizing high availability through auto-scaling, IaaS supports continuous operations even in geographically vulnerable areas. The security framework of IaaS, encompassing a shared responsibility model, ensures robust data protection and compliance with industry standards. The paper also addresses cost optimization strategies and the integration of hybrid cloud architectures to maximize resource efficiency and maintain data integrity. Overall, IaaS is integral to modern IT infrastructure, offering flexible, scalable, and cost-effective solutions that align with the evolving demands of the digital landscape.

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Harish Musunuri. "Revolutionizing Retail Transactions with Scalable UI Architectures." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2894–906. https://doi.org/10.32628/cseit25112745.

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The retail industry is undergoing a transformative shift as organizations evolve from legacy transaction processing systems toward cloud-native architectures. This technical article explores how modern, event-driven UI architectures are revolutionizing retail operations by addressing critical limitations of traditional systems. Legacy infrastructures characterized by tightly coupled monolithic designs create fragmented customer experiences, impose scalability constraints, perpetuate vendor lock-in, and impede innovation. By contrast, modern architectural approaches featuring decoupled microservices, cross-platform compatibility, event-driven communication patterns, and cloud infrastructure deliver measurable improvements in customer experience, cost optimization, innovation velocity, and business agility. The implementation considerations highlight the importance of phased migration strategies, API-first design principles, security-by-design practices, and comprehensive staff training to maximize successful outcomes.

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Thakur, Rahul Singh. "Scalable Cloud Architectures: Sharding Services for High Availability." European Journal of Computer Science and Information Technology 13, no. 34 (2025): 88–96. https://doi.org/10.37745/ejcsit.2013/vol13n348896.

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Service sharding has emerged as a critical architecture pattern for achieving high availability in modern cloud environments where traditional monolithic systems fail to meet scalability demands. This article presents a comprehensive framework for implementing service sharding across distributed infrastructures, detailing both technical benefits and operational challenges. The distributed nature of sharded architectures enables organizations to contain failures within limited blast radii, significantly enhancing system resilience during infrastructure disruptions. Through the proper implementation of multi-instance deployments across availability zones, metadata routing services, and dynamic provisioning mechanisms, enterprises can achieve substantial improvements in service availability, response times, and resource utilization. The architecture described emphasizes consistent request routing and fault isolation while addressing practical implementation considerations, including staggered deployment strategies, stateful migration techniques, and monitoring approaches. Evidence from industry implementations demonstrates that properly sharded systems can accommodate substantially higher concurrent connection volumes, achieve faster recovery times, and maintain performance during traffic spikes. While acknowledging the increased complexity introduced by sharding, the article provides strategic mitigation approaches through automation, redundancy, and observability solutions. These strategies effectively address challenges related to infrastructure complexity, routing service reliability, data consistency, debugging complexity, and operational overhead, allowing organizations to maximize the benefits of service sharding while minimizing associated complexities.

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Rahmani, Rahim, and Yuhong Li. "A Scalable Digital Infrastructure for Sustainable Energy Grid Enabled by Distributed Ledger Technology." Journal of Ubiquitous Systems & Pervasive Networks 12, no. 2 (2020): 17–24. http://dx.doi.org/10.5383/juspn.12.02.003.

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Srivastava, Divya. "Serverless and IaC." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 3271–79. http://dx.doi.org/10.22214/ijraset.2023.51356.

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Abstract: The objective of this research paper is to investigate the potential advantages of integrating Terraform and Serverless Computing to construct a scalable and efficient cloud infrastructure. Terraform, an infrastructure-as-code open-source tool, and Serverless Computing, a new paradigm that enables developers to run code without worrying about the underlying infrastructure, are briefly described along with their benefits. The paper then explores how these two can be combined to build a dynamic and robust infrastructure while also addressing the difficulties that arise when constructing a Serverless Computing infrastructure with Terraform, proposing solutions to overcome them. Finally, the study concludes that integrating Terraform and Serverless Computing can help organizations create an efficient, adaptable, and scalable infrastructure while decreasing expenses and enhancing developer productivity.

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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 efficiency through cloud infrastructure integration. The architecture fundamentally alters application development by emphasizing service autonomy, loose coupling, container packaging, and infrastructure automation that substantially reduces cross-service dependencies while improving system maintainability. Containerization technologies and orchestration platforms like Kubernetes have emerged as essential cloud-native infrastructure components, dramatically improved deployment frequency and reducing infrastructure costs through selective scaling capabilities. Despite inherent challenges in data consistency, security, and operational complexity, mature patterns and cloud-specific technologies have evolved to address these concerns effectively. Case studies from industry leaders demonstrate the transformative potential of cloud-native microservices at scale, with documented improvements in deployment velocity, system reliability, and cloud resource utilization. Looking forward, the cloud-native microservices landscape continues evolving rapidly through AI-driven optimization, serverless computing integration, and enhanced security models that collectively promise greater automation, efficiency, and resilience for distributed applications in increasingly competitive digital environments.

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Sethu, Sesha Synam Neeli. "Serverless Databases: A Cost-Effective and Scalable Solution." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 6 (2019): 1–7. https://doi.org/10.5281/zenodo.15362290.

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Traditional database management systems (DBMS) require significant operational overhead, involving complex infrastructure provisioning, configuration, and ongoing maintenance. This approach presents challenges for modern applications demanding scalability, agility, and cost-efficiency. Serverless databases address these limitations by abstracting away the underlying infrastructure management, providing a fully managed service.This paper examines the key advantages of serverless databases, including their auto-scaling capabilities (dynamic resource allocation based on workload demands), reduced operational burden (minimizing administrative tasks associated with infrastructure management), and accelerated software development lifecycles (facilitating faster deployment and iteration). It will also analyze different serverless database architectures (e.g., key-value stores, document databases, relational databases), explore their respective use cases, and discuss the challenges associated with adopting serverless database technologies (e.g., vendor lock-in, data governance, cost optimization strategies). This analysis will enable organizations to make informed decisions regarding database management strategies, aligning their infrastructure with the evolving needs of contemporary application development and deployment models.

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Dieckmann, Marius Alfred, Sebastian Beyvers, Rudel Christian Nkouamedjo-Fankep, et al. "EDGAR3.0: comparative genomics and phylogenomics on a scalable infrastructure." Nucleic Acids Research 49, W1 (2021): W185—W192. http://dx.doi.org/10.1093/nar/gkab341.

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Abstract The EDGAR platform, a web server providing databases of precomputed orthology data for thousands of microbial genomes, is one of the most established tools in the field of comparative genomics and phylogenomics. Based on precomputed gene alignments, EDGAR allows quick identification of the differential gene content, i.e. the pan genome, the core genome, or singleton genes. Furthermore, EDGAR features a wide range of analyses and visualizations like Venn diagrams, synteny plots, phylogenetic trees, as well as Amino Acid Identity (AAI) and Average Nucleotide Identity (ANI) matrices. During the last few years, the average number of genomes analyzed in an EDGAR project increased by two orders of magnitude. To handle this massive increase, a completely new technical backend infrastructure for the EDGAR platform was designed and launched as EDGAR3.0. For the calculation of new EDGAR3.0 projects, we are now using a scalable Kubernetes cluster running in a cloud environment. A new storage infrastructure was developed using a file-based high-performance storage backend which ensures timely data handling and efficient access. The new data backend guarantees a memory efficient calculation of orthologs, and parallelization has led to drastically reduced processing times. Based on the advanced technical infrastructure new analysis features could be implemented including POCP and FastANI genomes similarity indices, UpSet intersecting set visualization, and circular genome plots. Also the public database section of EDGAR was largely updated and now offers access to 24,317 genomes in 749 free-to-use projects. In summary, EDGAR 3.0 provides a new, scalable infrastructure for comprehensive microbial comparative gene content analysis. The web server is accessible at http://edgar3.computational.bio.

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Grieco, Raffaella, Delfina Malandrino, and Vittorio Scarano. "A Scalable Cluster-based Infrastructure for Edge-computing Services." World Wide Web 9, no. 3 (2006): 317–41. http://dx.doi.org/10.1007/s11280-006-8559-x.

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Pearson, Jennifer, Simon Robinson, and Matt Jones. "BookMark: Appropriating existing infrastructure to facilitate scalable indoor navigation." International Journal of Human-Computer Studies 103 (July 2017): 22–34. http://dx.doi.org/10.1016/j.ijhcs.2017.02.001.

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Xin, Liao. "Scalable Computing Infrastructure for Online and Blended Learning Environments." Scalable Computing: Practice and Experience 24, no. 3 (2023): 597–607. http://dx.doi.org/10.12694/scpe.v24i3.2293.

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With the growing popularity of online learning and blended learning, as well as the rapid development of cloud computing and big data technology, scalable computing infrastructure has become an indispensable part of building a modern education platform. Method: Five experiments were conducted to test the scalability and reliability of computing infrastructure based on online and blended learning environments. The experiments include the performance comparison of online learning platforms based on different virtualization technologies, the performance comparison of online and hybrid learning environments under different loads, the comparison of online learning experiences under different bandwidth constraints, the system stability test under different user numbers, and the comparison of access speeds in different regions. Result: The experimental results showed that on an online learning platform using the KVM (Kernel-based Virtual Machine) interface, when the number of concurrent users is 99, the response time is 100.9ms, and the CPU (Central Processing Unit) utilization rate is 60.9%. Under low load conditions, the concurrent access volume is 200; the response time is 50ms, and the throughput is 10.3. When accessing locally, the latency is 9.19ms; the download speed is 500.3KB/s; the network throughput is 399.8KB/s. Conclusion: Exploring the scalability, reliability, performance, stability, and access speed of online learning platforms is crucial for improving platform competitiveness and ensuring user experience.

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Fati Oiza Ochepa, Malik Adeiza Rufai, Abdulhafeez Abubakar Ochepa, and Barka Piyinkir Ndahi. "Scalable API-Based infrastructure for inter-wallet digital transactions." Computer Science & IT Research Journal 6, no. 5 (2025): 364–70. https://doi.org/10.51594/csitrj.v6i5.1943.

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The accelerated growth of carrying out financial transactions digitally has given rise to the increasing reliance on electronic wallets (e-wallets) as a means of conducting cashless payments. Interoperability between such e-wallets has, however, remained a major challenge, hindering the conduct of seamless transactions across payment platforms. This study therefore proposes an Application Programming Interface (API) infrastructure to enable users to transfer funds across multiple closed and semi-closed e-wallet systems. The methodology deployed to achieve this goal involves the development of a (Representational State Transfer) REST-based API services deployed on a cloud-based infrastructure, enhancing secure, efficient, and scalable inter-wallet fund transfers. The adopted performance metrics include a measure of concurrent API requests recorded between 50 and 500 Requests per Second (RPS), average API response time between 200ms to 500ms and database transactions between 500 to 1000 Transactions per Second (TPS). The result of this system suggests an improved transaction speed, usability, and security. The findings contribute towards continuous research efforts to improve interoperability among digital transactions targeted at a holistic financial inclusivity. Keywords: E-Wallet Interoperability, Financial Inclusion, API Infrastructure, Digital Transaction, Secure Fund Transfer.

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Allam, Hitesh. "Metrics that Matter: Evolving Observability Practices for Scalable Infrastructure." International Journal of AI, BigData, Computational and Management Studies 3 (2022): 52–61. https://doi.org/10.63282/3050-9416.ijaibdcms-v3i3p107.

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GOTTHELF, PABLO, ALEJANDRO ZUNINO, and MARCELO CAMPO. "A PEER-TO-PEER COMMUNICATION INFRASTRUCTURE FOR GROUPWARE APPLICATIONS." International Journal of Cooperative Information Systems 17, no. 04 (2008): 523–54. http://dx.doi.org/10.1142/s0218843008001920.

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Many advances have been done to allow groups of people to work together and collaborate in the Internet. Collaborative systems are characterized by the way participants interact. In many cases, equal standing members should cooperate in a non-authoritative environment, where no entity or authority is or should be in charge of regulating the group. Therefore, decentralized communication infrastructures have been hailed as promising alternatives. Recently, decentralized infrastructures based on P2P approaches have drawn the attention of the research community because of their benefits in terms of scalability, robustness, availability and potentials for leveraging computational resources distributed across the Internet. In this paper, a scalable peer-to-peer (P2P) communication Infrastructure for groupware applications is presented. It enables a large number of people to join and cooperate in a robust, decentralized and easy deployable way, without requiring high capacity servers or any other special network infrastructure. The communication infrastructure is based on a binary tree as overlay structure, which implements all groupware communication functionality, including membership management and packet forwarding, at application level, making it an inexpensive and fast deployable solution for equal standing members, such as home users with a domestic connection to the Internet. Two applications, one for synchronous groupware and the other for asynchronous collaboration, have been developed to validate the approach. Comparisons with other communication infrastructures in aspects such as end-to-end propagation delay, group latency, throughput, protocol overhead, failure recovery and link stress, show that our approach is a scalable and robust alternative.

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Walker, Emily R. "Hybrid Cloud Architectures for Scalable and Secure Data Storage." International Journal of Innovative Computer Science and IT Research 1, no. 02 (2025): 1–12. https://doi.org/10.63665/ijicsitr.v1i02.02.

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As far as the requirements of scalable and secure data storage solutions in the past few years are concerned, their requirements have always remained a top concern for businesses with an increasing amount of data to deal with. Hybrid cloud architectures, providing private and public cloud infrastructure, possess a promising solution towards scalability, flexibility, and increased security. This paper is an examination of the building blocks of hybrid cloud systems with regard to their ability to support scalable data storage as well as deal with the issue of security. We examine the different elements of hybrid cloud storage, such as the combination of public and private clouds, and how this can improve performance and security. We also address the security features of hybrid clouds, such as data encryption, compliance, and access control, and cite industry-specific examples. The paper also touches on the challenges organizations will encounter in deploying hybrid cloud solutions and emerging trends such as AI and edge computing that will shape the future of hybrid cloud data storage. Finally, the paper seeks to offer insights regarding how hybrid cloud infrastructures may transform data storage solutions for enterprises in a manner that will efficiently manage increasing data while maintaining adequate security.

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Regvart, Damir, Jasmin Redžepagić, Adriano Bubnjek, and Robert Petrunić. "Security hardening using infrastructure as code." Edelweiss Applied Science and Technology 9, no. 2 (2025): 1147–55. https://doi.org/10.55214/25768484.v9i2.4697.

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This paper examines Infrastructure as Code (IaC) with Ansible to automate and enhance security hardening in Linux environments. As IT infrastructures grow more complex, manual security configurations become error-prone, inefficient, and inconsistent. IaC addresses these issues by allowing organizations to define and deploy infrastructure configurations as code, ensuring a consistent security baseline. Focusing on key settings for Firewalld, SELinux, and SSH, the study demonstrates how Ansible enforces these configurations in a scalable, repeatable, and resilient manner. Results show that using Ansible for security hardening reduces deployment times, minimizes manual errors, and ensures uniform security standards across diverse systems. This research offers a practical foundation for organizations seeking to improve their cybersecurity posture, emphasizing IaC's transformative potential in achieving secure, efficient, and adaptable infrastructure management.

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Lizama-Perez, Luis Adrián, and J. Mauricio López R. "Non-Invertible Public Key Certificates." Entropy 23, no. 2 (2021): 226. http://dx.doi.org/10.3390/e23020226.

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Post-quantum public cryptosystems introduced so far do not define a scalable public key infrastructure for the quantum era. We demonstrate here a public certification system based on Lizama’s non-invertible key exchange protocol which can be used to implement a secure, scalable, interoperable and efficient public key infrastructure (PKI). We show functionality of certificates across different certification domains. Finally, we discuss a method that enables non-invertible certificates to exhibit perfect forward secrecy (PFS).

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Uddesh, Piprewar, More Shubham, Lamsoge Vishal, Puramkar Balwesh, Dandhare Gayatri, and Aditya Turankar Prof. "Cloud Formation (IaC): Deploying a Containerized Application on Cloud." Recent Trends in Cloud Computing and Web Engineering 5, no. 2 (2023): 39–49. https://doi.org/10.5281/zenodo.7936767.

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<em>Infrastructure as Code (IaC) is a practice that automates the deployment and management of infrastructure resources using machine-readable files, which describe the desired state of the desired state of the infrastructure. In this way, the infrastructure is treated as a code and is versioned, tested, and deployed like any other software artifact. Cloud providers offer IaC tools that facilitate the deployment of resources in a scalable and reproducible manner.</em>   <em>Containers have become the preferred way to package and deploy applications due to their portability, isolation, and scalability. Container orchestration platforms such as Docker simplify the management of containerized applications by automating the deployment, scaling, and monitoring of containerized workloads.</em>   <em>In this context, deploying a containerized application on the cloud involves defining the infrastructure resources required to support the application, such as virtual  machines, load balancers, and storage volumes, using IaC tools. Once the infrastructure is defined, the containerized application is deployed on a container orchestration platform such as Docker, which manages the containers and their dependencies. This process enables the deployment of applications in a scalable, fault-tolerant, and cost-effective manner, while reducing the time and effort required to manage the underlying infrastructure.</em>   <em>In summary, the use of IaC and container orchestration platforms has revolutionized the way applications are deployed and managed on the cloud. These practices enable developers to focus on writing code rather than managing infrastructure, while ensuring that the infrastructure is deployed in a scalable, reproducible, and cost-effective manner.</em>

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Mahipal Reddy Yalla. "Bridging the digital divide: How scalable infrastructure can empower education worldwide." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2470–76. https://doi.org/10.30574/wjaets.2025.15.2.0806.

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The digital divide in education manifests as a complex, multidimensional barrier to equitable learning opportunities worldwide. This comprehensive examination explores how scalable information technology infrastructures can address these inequities through adaptive frameworks designed for diverse resource environments. The digital divide extends beyond simple binary distinctions of access, encompassing significant disparities in connectivity quality, technical support availability, digital literacy, and content relevance across socioeconomic boundaries. A detailed assessment of global implementation data reveals that modular, interoperable, and progressively enhanced architectures can dramatically democratize educational opportunities while improving system sustainability across varied contexts. The article of national modernization programs in Uruguay, Kenya, Estonia, and India illustrates successful implementation strategies characterized by phased deployment prioritizing disadvantaged communities, concurrent capacity building, offline functionality preservation, and cultural adaptation. Despite promising advances, substantial challenges persist in funding sustainability, technical maintenance, equity preservation during scaling, and data governance. The path forward requires careful balancing of standardization benefits with customization needs to serve diverse learner populations effectively. By implementing scalable infrastructures that can function across a spectrum of technological contexts, educational systems can maintain pedagogical coherence while progressively enhancing capabilities as infrastructure improves, ensuring digital technology fulfills its potential as an equalizing force rather than reinforcing existing privileges.

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Pasupuleti, Murali Krishna. "Scalable Digital Solutions from India’s Aadhaar and UPI Frameworks." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 04 (2025): 278–87. https://doi.org/10.62311/nesx/rp2325.

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Abstract: India’s Aadhaar and Unified Payments Interface (UPI) frameworks represent two of the most ambitious and scalable digital infrastructure projects in the world, revolutionizing identity verification and real-time financial transactions. This research paper examines the architectural design, operational dynamics, and socio-economic impact of these systems, emphasizing their role in promoting financial inclusion, digital governance, and economic resilience. Through empirical data analysis, policy evaluation, and case studies, the paper highlights how Aadhaar’s biometric identification and UPI’s interoperable payment ecosystem have addressed systemic inefficiencies and enabled citizen-centric service delivery at scale. Furthermore, the study explores the replicability of these models in diverse global contexts and evaluates their potential for adaptation in emerging economies. By integrating insights from digital public infrastructure, cybersecurity, and inclusive policy design, this paper presents Aadhaar and UPI as paradigms of scalable, secure, and transformative digital solutions for the modern state. Keywords: Aadhaar, UPI, digital identity, real-time payments, financial inclusion, digital public infrastructure, scalable digital solutions, IndiaStack, biometric authentication, digital governance

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Tamchyna, Aleš, Ondřej Dušek, Rudolf Rosa, and Pavel Pecina. "MTMonkey: A Scalable Infrastructure for a Machine Translation Web Service." Prague Bulletin of Mathematical Linguistics 100, no. 1 (2013): 31–40. http://dx.doi.org/10.2478/pralin-2013-0009.

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Abstract We present a web service which handles and distributes JSON-encoded HTTP requests for machine translation (MT) among multiple machines running an MT system, including text pre- and post-processing. It is currently used to provide MT between several languages for cross-lingual information retrieval in the EU FP7 Khresmoi project. The software consists of an application server and remote workers which handle text processing and communicate translation requests to MT systems. The communication between the application server and the workers is based on the XML-RPC protocol. We present the overall design of the software and test results which document speed and scalability of our solution. Our software is licensed under the Apache 2.0 licence and is available for download from the Lindat-Clarin repository and Github.

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Blanquer, Ignacio, Miguel Caballer, Luis Martí Bonmatí, Ángel Alberich Bayarri, María De la Iglesia, and Jacobo Martínez. "A cloud infrastructure for scalable computing on population imaging databanks." International Journal of Image Mining 1, no. 2/3 (2015): 175. http://dx.doi.org/10.1504/ijim.2015.073015.

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Mandl, K. D., I. S. Kohane, D. McFadden, et al. "Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): Architecture." Journal of the American Medical Informatics Association 21, no. 4 (2014): 615–20. http://dx.doi.org/10.1136/amiajnl-2014-002727.

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Bakken, Suzanne. "Informatics impact requires effective, scalable tools and standards-based infrastructure." Journal of the American Medical Informatics Association 27, no. 9 (2020): 1341–42. http://dx.doi.org/10.1093/jamia/ocaa187.

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Bolgov, Sergei. "CREATING INFRASTRUCTURE FOR SCALABLE FINTECH SOLUTIONS: TECHNICAL AND ORGANIZATIONAL ASPECTS." Theoretical & Applied Science 140, no. 12 (2024): 354–58. https://doi.org/10.15863/tas.2024.12.140.43.

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Gundla, Naresh Kumar. "Building Castles in the Cloud: Architecting Resilient and Scalable Infrastructure." International Journal of Computer Trends and Technology 72, no. 9 (2024): 77–92. http://dx.doi.org/10.14445/22312803/ijctt-v72i9p113.

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Ma, Chris Y. T., David K. Y. Yau, and Nageswara S. V. Rao. "Scalable Solutions of Markov Games for Smart-Grid Infrastructure Protection." IEEE Transactions on Smart Grid 4, no. 1 (2013): 47–55. http://dx.doi.org/10.1109/tsg.2012.2223243.

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HU, Kai, Yi DING, Xinyu ZHANG, and Shu JIANG. "A Scalable Infrastructure for Online Performance Analysis on CFD Application." Chinese Journal of Aeronautics 25, no. 4 (2012): 546–58. http://dx.doi.org/10.1016/s1000-9361(11)60418-4.

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Kaur, Harkiran, and Sandeep K. Sood. "Fog-assisted IoT-enabled scalable network infrastructure for wildfire surveillance." Journal of Network and Computer Applications 144 (October 2019): 171–83. http://dx.doi.org/10.1016/j.jnca.2019.07.005.

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Guo, Bin, Daqing Zhang, Lin Sun, Zhiwen Yu, and Xingshe Zhou. "iCROSS: toward a scalable infrastructure for cross-domain context management." Personal and Ubiquitous Computing 17, no. 3 (2012): 591–602. http://dx.doi.org/10.1007/s00779-012-0564-8.

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Middleton, Richard S., and Jeffrey M. Bielicki. "A scalable infrastructure model for carbon capture and storage: SimCCS." Energy Policy 37, no. 3 (2009): 1052–60. http://dx.doi.org/10.1016/j.enpol.2008.09.049.

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Kim, Joohyun, Sharath Maddineni, and Shantenu Jha. "Advancing next-generation sequencing data analytics with scalable distributed infrastructure." Concurrency and Computation: Practice and Experience 26, no. 4 (2013): 894–906. http://dx.doi.org/10.1002/cpe.3013.

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