ACORN-Edu: Deadline-Aware Prefetching for Learners With Intermittent Connectivity

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Authors: Divine Iloh, Ebuka Bertrand Osunwoke, Sadiq Adamu Abubakar, Grace Oku, Vennela Subramanyam, Rohit Kapa, Mabel Ogonna, Gayathri Balakumar
Cited by: 0
References: 12

Abstract

We present ACORN-Edu, a deadline-aware prefetching system combining content-defined chunking (CDC), delta synchronization, and multi-factor scheduling for learners with intermittent connectivity. The scheduler prioritizes content using deadline urgency, chunk reuse, file size, and connectivity-aware finishability scoring, with weights tunable per deployment scenario. Evaluation across two scenarios, nightly Wi-Fi (~900,000 KB budget) and spotty cellular (intermittent bursts, ~24,000 KB budget), shows ACORN-Edu achieves 90% hit-rate vs. 60% baseline (Wi-Fi) and 20% vs. 0% (cellular) with minimal bandwidth overhead (4% and 1%). Statistical tests confirm highly significant improvements (p3.0). Ablation studies reveal urgency and reuse drive hit-rate gains under favorable connectivity, while all components optimize efficiency under scarcity. Full artifacts available at https://github.com/divineiloh/ACORN-Edu.

Fields of Study & Subjects

Caching and Content Delivery Opportunistic and Delay-Tolerant Networks Network Traffic and Congestion Control

Publication details

Journal / source
IEEE Access
Volume
14
Pages
34202–34211
Publication date
1 January 2026
Language
EN