Publication2016
Energy aware scheduling using genetic algorithm in cloud data centers
The record
- Type
- Publication
- Date
- 22 November 2016
- Level
- National
- Journal
- International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016
- Pages
- 3545-3550
- Published
- 22 November 2016
- DOI
- 10.1109/iceeot.2016.7755364
- Scopus ID
- 85006741617
- Authors
- 3
- Open access
- No
- Citations
- 37
- 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
7.3 Double the global rate of improvement in energy efficiency
Energy-aware task scheduling using genetic algorithm for cloud data centers to minimize energy consumption and carbon emissions.
- 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.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Green computing research on data center optimization represents innovation in energy 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.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Green data center optimization contributes to energy efficiency and climate resilience.
- 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. “Energy aware scheduling using genetic algorithm in cloud data centers”. Kortex.