WP50 – Deterministic Information-Condensation Pathway for Green Computing

The WP50 project introduces a deterministic information-condensation pathway achieving compression ratios up to 50× with no perceptual loss. The method combines fractal-spatial redundancy mapping with adaptive predictive matrices to achieve energy-efficient data processing for sustainable and green computing. Benchmarking on standard open video datasets demonstrates over 90% reduction in computational and storage energy demands. This note outlines the theoretical basis, experimental metrics, and potential applications in edge and cloud infrastructures.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-09
DOI
https://doi.org/10.5281/zenodo.17562761
Primary Topic
Big Data and Digital Economy
Type
article
Field-Weighted Citation Impact
0.00
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article

WP50 – Deterministic Information-Condensation Pathway for Green Computing

Zenodo (CERN European Organization for Nuclear Research)
Big Data and Digital Economy
article

WP50 – Deterministic Information-Condensation Pathway for Green Computing

article en

Abstract

The WP50 project introduces a deterministic information-condensation pathway achieving compression ratios up to 50× with no perceptual loss. The method combines fractal-spatial redundancy mapping with adaptive predictive matrices to achieve energy-efficient data processing for sustainable and green computing. Benchmarking on standard open video datasets demonstrates over 90% reduction in computational and storage energy demands. This note outlines the theoretical basis, experimental metrics, and potential applications in edge and cloud infrastructures.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 32%
Big Data and Digital Economy
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WP50 – Deterministic Information-Condensation Pathway for Green Computing · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS