Home ›
Entities
› academia
› Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling
Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling
Research article (Scientific Reports, 2025) · cited 11× · AI/ML
Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling
Summary
Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling is a scholarly article[1].
Key Facts
Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-energy-and-latency-in-edge-computing-through-a-boltzmann-driven-bayesian-framework-for-adaptive-resource-sche
MLA“Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-energy-and-latency-in-edge-computing-through-a-boltzmann-driven-bayesian-framework-for-adaptive-resource-sche.
BibTeX@misc{4ortxyz_optimizing-energy-and-latency-in-edge-computing-through-a-boltzmann-driven-bayesian-framework-for-adaptive-resource-sche_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-energy-and-latency-in-edge-computing-through-a-boltzmann-driven-bayesian-framework-for-adaptive-resource-sche}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling — https://4ort.xyz/entity/optimizing-energy-and-latency-in-edge-computing-through-a-boltzmann-driven-bayesian-framework-for-adaptive-resource-sche (retrieved 2026-05-24)