Publication2023
Optimizing Resource Allocation using Proactive Predictive Analytics and ML-Driven Dynamic VM Placement
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- 2023 4th IEEE Global Conference for Advancement in Technology Gcat 2023
- Published
- 1 January 2023
- DOI
- 10.1109/gcat59970.2023.10353234
- Scopus ID
- 85182569417
- Authors
- 3
- Open access
- No
- Citations
- 3
- 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
Proposes predictive analytics and machine learning for dynamic virtual machine placement optimizing cloud computing resource allocation and reducing costs
- 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
Cloud infrastructure optimization using AI advances digital technology and computational efficiency
- 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. “Optimizing Resource Allocation using Proactive Predictive Analytics and ML-Driven Dynamic VM Placement”. Kortex.