Publication2026
ALTS: Adaptive Load Balanced Task Scheduling Technique to Reduce Task Execution Time and Improve Resource Utilization in Cloud Computing
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Lecture Notes in Networks and Systems
- Volume
- 1891 LNNS
- Pages
- 567-580
- Published
- 1 January 2026
- DOI
- 10.1007/978-3-032-20609-1_51
- Scopus ID
- 105045097320
- ISSN
- 23673370
- Authors
- 8
- 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
9.2 Promote inclusive and sustainable industrialization and raise industry’s share of employment and GDP
Adaptive load balancing using differential evolution algorithm optimizes cloud computing task scheduling and virtual machine resource utilization efficiency.
- 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
Meta-heuristic optimization algorithm development for complex cloud scheduling problems advances computational research innovation.
- 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 and AI scheduling algorithms support digital technology advancement 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. “ALTS: Adaptive Load Balanced Task Scheduling Technique to Reduce Task Execution Time and Improve Resource Utilization in Cloud Computing”. Kortex.
