Publication2025
Performance Evaluation of QChainFog - Queueing Assisted Blockchain Enabled IoST-Fog-Cloud Framework for Geospatial Big Data Analytics
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Ocit 2025 Proceedings 23rd Oits International Conference on Information Technology
- Pages
- 1019-1024
- Published
- 1 January 2025
- DOI
- 10.1109/ocit66168.2025.11400180
- Scopus ID
- 105036743847
- Authors
- 6
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Blockchain-enabled fog-cloud framework with queueing theory for geospatial big data analytics represents research in distributed computing architecture.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Development of advanced digital infrastructure combining Internet of Things, blockchain and cloud computing demonstrates digital technology innovation.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Performance Evaluation of QChainFog - Queueing Assisted Blockchain Enabled IoST-Fog-Cloud Framework for Geospatial Big Data Analytics”. Kortex.
