Review & Research Proposal: Real-Time Data-Intensive Web Systems — Architecture, Visualization, and Trust in High-Stakes Applications
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2026
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| _version_ | 1866901855715459072 |
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| author | Zmanovskii, Nikita |
| author_facet | Zmanovskii, Nikita |
| contents | <p>This work presents a combined literature review and research proposal focused on real-time data-intensive web systems operating in high-stakes application domains. The review synthesizes prior research across system architecture, real-time data processing, interactive visualization, and trust-aware analytics, with particular attention to domains where latency, reliability, and transparency are critical for decision-making.</p> <p>Building on the reviewed literature and the author’s prior work on real-time trading systems, compliance monitoring platforms, and blockchain-integrated applications, the proposal identifies key research gaps related to system-level trust, explainability of real-time analytics, and the integration of visualization techniques with trust-aware system design.</p> <p>The research proposal outlines concrete research questions, methodological approaches, and evaluation strategies aimed at improving architectural robustness, transparency, and user trust in real-time web systems. The proposed work is intended as a foundation for future master’s-level research in applied computer science, data-intensive systems, and human-centered analytics.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18133121 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Review & Research Proposal: Real-Time Data-Intensive Web Systems — Architecture, Visualization, and Trust in High-Stakes Applications Zmanovskii, Nikita Real-time systems Data-intensive web systems Interactive visualization Trust-aware analytics Trust-aware analytics System architecture <p>This work presents a combined literature review and research proposal focused on real-time data-intensive web systems operating in high-stakes application domains. The review synthesizes prior research across system architecture, real-time data processing, interactive visualization, and trust-aware analytics, with particular attention to domains where latency, reliability, and transparency are critical for decision-making.</p> <p>Building on the reviewed literature and the author’s prior work on real-time trading systems, compliance monitoring platforms, and blockchain-integrated applications, the proposal identifies key research gaps related to system-level trust, explainability of real-time analytics, and the integration of visualization techniques with trust-aware system design.</p> <p>The research proposal outlines concrete research questions, methodological approaches, and evaluation strategies aimed at improving architectural robustness, transparency, and user trust in real-time web systems. The proposed work is intended as a foundation for future master’s-level research in applied computer science, data-intensive systems, and human-centered analytics.</p> |
| title | Review & Research Proposal: Real-Time Data-Intensive Web Systems — Architecture, Visualization, and Trust in High-Stakes Applications |
| topic | Real-time systems Data-intensive web systems Interactive visualization Trust-aware analytics Trust-aware analytics System architecture |
| url | https://doi.org/10.5281/zenodo.18133121 |