Publication2017
Improvising block placement policy in HADOOP framework
The record
- Type
- Publication
- Date
- 21 November 2017
- Level
- National
- Journal
- 2017 International Conference on Computer Communication and Informatics Iccci 2017
- Published
- 21 November 2017
- DOI
- 10.1109/iccci.2017.8117743
- Scopus ID
- 85041451464
- Authors
- 4
- Open access
- No
- Citations
- 1
- 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 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Optimized block placement in HDFS reduces memory wastage and internal fragmentation improving MapReduce data processing efficiency
- 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
Distributed computing optimization enhances big data processing capability and computational infrastructure
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “Improvising block placement policy in HADOOP framework”. Kortex.