Publication2017
Name node performance enlarging by aggregator based HADOOP framework
The record
- Type
- Publication
- Date
- 4 October 2017
- Level
- National
- Journal
- Proceedings of the International Conference on Iot in Social Mobile Analytics and Cloud I Smac 2017
- Pages
- 112-116
- Published
- 4 October 2017
- DOI
- 10.1109/i-smac.2017.8058320
- Scopus ID
- 85034581097
- Authors
- 4
- Open access
- No
- Citations
- 6
- 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
Aggregator-based HADOOP framework optimization for namenode performance represents research in big data processing 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
Big data infrastructure optimization supports digital technology advancement
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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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. “Name node performance enlarging by aggregator based HADOOP framework”. Kortex.